Design and optimization of handheld alloy analysis instrument based on microjoule high pulse repetition frequency LIBS.

We briefly describe the design of a handheld metal detection instrument based on microjoule high repetition frequency laser-induced breakdown spectroscopy. The instrument uses a Raspberry Pi as the control core and a laser with a frequency of 10 kHz and a single pulse energy of 100 µJ as the excitation source. In addition, a mini-putter is built into the instrument to move the laser, allowing the ablation of the sample surface line area without external auxiliary equipment. The excitation-generated plasma radiation is collected by a simple optical path and transmitted directly to the spectrometer. We also constructed and trained a Backpropagation Artificial Neural Network (BP-ANN) model based on 12 different grades of alloys and transplanted the feedback process of the BP-ANN to the Raspberry Pi, which realized the rapid classification of the 12 alloys with >95% classification accuracy on the handheld instrument.

Noninvasive evaluation of the glymphatic system in diffuse gliomas using diffusion tensor image analysis along the perivascular space.

OBJECTIVE: The aim of this study was to noninvasively explore the glymphatic system (GS) in glioma and its association with glioma characteristics and prognosis by using diffusion tensor image analysis along the perivascular space (ALPS). METHODS: In the period from April 2015 to November 2021, all patients with pathologically confirmed unihemispheric glioma who had not undergone surgery, chemotherapy, radiotherapy, or stereotactic biopsy; who did not have severe brain deformation; who had undergone preoperative conventional and advanced whole-brain diffusion-weighted imaging; and whose data were available and uncompromised were included in this study. Age- and sex-matched healthy controls (HCs) who had undergone diffusion-weighted imaging were also included. The ALPS index was calculated based on diffusivity maps, allowing noninvasive analysis of the GS. The contralateral ALPS index was measured in all glioma patients, and the ipsilateral ALPS index was measured in glioma patients without severe deformation of the ipsilateral hemisphere. The ALPS index was compared between glioma patients and HCs according to tumor grade, IDH genotype, tumor and edema volume, and tumor location. The association between the bilateral ALPS index of gliomas and tumor characteristics was further analyzed. Survival analysis was conducted using Kaplan-Meier survival curves with the log-rank test and univariable and multivariable Cox regressions. RESULTS: Ninety-one patients with unihemispheric glioma (33 female, mean age 46 ± 13 years) and 59 age- and sex-matched HCs were included in this study. The ipsilateral ALPS index decreased in the glioma group versus the HC group, regardless of tumor grade, IDH genotype, tumor and edema volume, or tumor location (p ≤ 0.048), whereas the contralateral ALPS index decreased in gliomas with a high grade, IDH wildtype, larger edema volume, different tumor volumes and locations (p ≤ 0.009). The ipsilateral versus contralateral ALPS index was lower regardless of tumor grade, IDH genotype, tumor and edema volume, or tumor location (p ≤ 0.044). Univariable linear regression revealed age (ß = -0.004, p = 0.026), tumor grade (ß = -0.114, p = 0.011), and IDH genotype (ß = 0.120, p = 0.008) were associated with the ipsilateral ALPS index in glioma. Age (ß = -0.005, p < 0.001), tumor grade (ß = -0.144, p < 0.001), IDH genotype (ß = 0.154, p < 0.001), tumor volume (ß = -0.002, p = 0.001), and peritumoral edema volume (ß = -0.002, p < 0.001) were correlated with the contralateral ALPS index in glioma. Multivariable linear regression revealed that tumor grade (ß = -0.125, p = 0.005) was independently associated with the ipsilateral ALPS index. Age (ß = -0.003, p = 0.022), IDH status (ß = 0.132, p = 0.001), and tumor volume (ß = -0.002, p < 0.001) were independently associated with the contralateral ALPS index. Kaplan-Meier analysis showed different survival times between low and high contralateral ALPS groups (log-rank = 10.574, p = 0.001). Univariable Cox regression analysis demonstrated that the lower contralateral ALPS index was related to a shorter survival time (HR 0.095, p = 0.005). Multivariable Cox regression analysis revealed IDH status as the only independent factor for survival (HR 0.138, p < 0.001). CONCLUSIONS: GS function was impaired in glioma and correlated with tumor characteristics, and worse contralateral GS function was associated with a shorter survival time.

Evaluation of automatic cochlear dimension measurement using ALPACA: a comparative study.

BACKGROUND: Cochlear dimension measurements are critical in diagnosing and managing congenital sensorineural hearing loss. OBJECTIVES: To evaluate the feasibility and reliability of an automated landmark approach for measuring cochlear dimensions (A-, B- and H-values). MATERIAL AND METHODS: Cochlear parameters from 100 patients were measured by MPR, manual three-dimensional and ALPACA. We assessed intra- and inter-observer reliability as well as inter-method reliability. Statistical analyses were conducted to detect differences between the right and left ears, as well as to assess the relevance of the values obtained using ALPACA. RESULTS: All A-, B-, and H-values measured by the various methods showed a high intra-observer reliability with intra-class correlation coefficients (ICC) ranging from 0.70 to 0.99, and values gained by ALPACA reaching the highest ICC. Inter-method reliability was at a good level with ICC ranging from 0.51 to 0.86. There were no significant differences between the right and left ears' measured values. Obvious positive correlations existed among cochlear dimensions measured by ALPACA. CONCLUSIONS AND SIGNIFICANCE: The ALPACA method can be used to measure cochlear dimensions. Values obtained by the method demonstrate high reliability and consistency with a significant reduction in intra-observer variability compared to results from conventional MPR and manual 3D measurements.

Concurrent Analysis of Tiafenacil and Its Transformation Products in Soil by Using Newly Developed UHPLC-QTOF-MS/MS-Based Approaches.

As new pesticides continue to emerge in agricultural systems, understanding their environmental behavior is crucial for effective risk assessment. Tiafenacil (TFA), a promising novel pyrimidinedione herbicide, was the focus of this study. We developed an efficient QuEChERS-UHPLC-QTOF-MS/MS method to measure TFA and its transformation products (TP1, TP2, TP3, TP4, and TP5) in soil. Our calibration curves exhibited strong linearity (R2 ≥ 0.9949) ranging from 0.015 to 2.0 mg/kg within a low limit of quantification (LOQ) of 2.0 µg/kg. Inter-day and intra-day recoveries (0.10 to 2.0 mg/kg, 80.59% to 110.05%, RSD from 0.28% to 12.93%) demonstrated high sensitivity and accuracy. Additionally, TFA dissipation under aerobic conditions followed first-order kinetics, mainly yielding TP1 and TP4. In contrast, TP1 and TP2 were mainly found under sterilized and anaerobic conditions, and TFA dissipation followed second-order kinetics. Moreover, we predicted the transformation pathways of TFA using density functional theory (DFT) and assessed the toxicity levels of TFA and its TPs to aquatic organisms using ECOSAR. Collectively, these findings hold significant implications for a better understanding of TFA fate in diversified soil, benefiting its risk assessment and rational utilization.

Prognostic nutritional index predicts lateral lymph node metastasis and recurrence free survival in papillary thyroid carcinoma.

BACKGROUND: Preoperative hematological parameters are predictors of pathological features and recurrence-free survival (RFS) in various malignancies. However, comprehensive studies of preoperative indicators associated with papillary thyroid carcinoma (PTC) are scarce. The present study investigated the association between preoperative indicators and RFS in patients with PTC. Accordingly, we explored the clinical impact of the prognostic nutritional index (PNI) on lymph node metastasis and RFS in patients with PTC. METHODS: A total of 619 PTC patients were retrospectively reviewed between Jan 2013 and Dec 2017. Laboratory values were measured and calculated. Receiver operating characteristic curves were generated to calculate the cutoff value. Univariate and multivariate analyses using the COX proportional hazard model were performed for RFS. The effects of PNI and age on RFS were investigated by the Kaplan-Meier method. Clinical characteristics and PNI were tested with the chi-square test. Univariate and multivariate logistic analyses were conducted to evaluate the predictive value of PNI for lymph node metastasis. RESULTS: In the multivariate Cox analysis, age, PNI and lymph node metastasis were independent prognostic indicators for RFS. The Kaplan-Meier method showed that the lower PNI group and age older than 55 years group displayed poor RFS. A low preoperative PNI was remarkably correlated with age, sex, extrathyroidal invasion, T stage, N stage and TNM stage. PNI was the only preoperative hematological indicator for lateral lymph node metastasis. CONCLUSIONS: Among the preoperative hematological indicators, PNI may serve as a promising and effective predictor for RFS and lateral lymph node metastasis in PTC patients.

Development and Validation of an Explainable Machine Learning Model for Identification of Hyper-Functioning Parathyroid Glands from High-Frequency Ultrasonographic Images.

OBJECTIVE: To develop and validate a machine learning (ML) model based on high-frequency ultrasound (HFUS) images with the aim to identify the functional status of parathyroid glands (PTGs) in secondary hyper-parathyroidism (SHPT) patients. METHODS: This retrospective study enrolled 60 SHPT patients (27 female, 33 male; mean age: 51.2 years) with 184 PTGs detected from February 2016 to June 2022. All enrollments underwent single-photon emission computed tomography/computed tomography and contrast-enhanced ultrasound examinations. The PTGs were randomly divided into training (n = 147) and testing datasets (n = 37). Four effective ML classifiers were used and combined models incorporating multi-modal HFUS visual signs and radiomics features was constructed based on the optimal classifier. Model performance was compared in terms of discrimination, calibration and clinical utility. The Shapley additive explanation method was used to explain and visualize the main predictors of the optimal model. RESULTS: This model, using a random forest classifier algorithm, outperformed other classifiers. Based on optimal classifier features, the model constructed from ultrasound visual and ML features achieved a favorable performance in the prediction of hyper-functioning PTGs. Compared with the traditional visual model, the ultrasound-based ML model achieved significant (p = 0.03) improvement (area under the curve: 0.859 vs. 0.629) and higher sensitivity (100.0% vs. 94.1%) and accuracy (86.5% vs. 67.6%). Among the predictors attributed to model development, large size and high echogenic heterogeneity of PTGs in ultrasonographic images were more often associated with high risk of hyper-functioning PTGs. CONCLUSION: The ultrasound-based ML model for identifying hyper-functioning PTGs in SHPT patients showed good performance and interpretability using high-frequency ultrasonographic images, which may facilitate clinical management.

Deep learning model based on contrast-enhanced ultrasound for predicting vessels encapsulating tumor clusters in hepatocellular carcinoma.

OBJECTIVES: To establish and validate a non-invasive deep learning (DL) model based on contrast-enhanced ultrasound (CEUS) to predict vessels encapsulating tumor clusters (VETC) patterns in hepatocellular carcinoma (HCC). MATERIALS AND METHODS: This retrospective study included consecutive HCC patients with preoperative CEUS images and available tissue specimens. Patients were randomly allocated into the training and test cohorts. CEUS images were analyzed using the ResNet-18 convolutional neural network for the development and validation of the VETC predictive model. The predictive value for postoperative early recurrence (ER) of the proposed model was further evaluated. RESULTS: A total of 242 patients were enrolled finally, including 195 in the training cohort (54.6 ± 11.2 years, 178 males) and 47 in the test cohort (55.1 ± 10.6 years, 40 males). The DL model (DL signature) achieved favorable performance in both the training cohort (area under the receiver operating characteristics curve [AUC]: 0.92, 95% confidence interval [CI]: 0.88-0.96) and test cohort (AUC: 0.90, 95% CI: 0.82-0.99). The stratified analysis demonstrated good discrimination of DL signature regardless of tumor size. Moreover, the DL signature was found independently correlated with postoperative ER (hazard ratio [HR]: 1.99, 95% CI: 1.29-3.06, p = 0.002). C-indexes of 0.70 and 0.73 were achieved when the DL signature was used to predict ER independently and combined with clinical features. CONCLUSION: The proposed DL signature provides a non-invasive and practical method for VETC-HCC prediction, and contributes to the identification of patients with high risk of postoperative ER. CLINICAL RELEVANCE STATEMENT: This DL model based on contrast-enhanced US displayed an important role in non-invasive diagnosis and prognostication for patients with VETC-HCC, which was helpful in individualized management. KEY POINTS: Preoperative biopsy to determine VETC status in HCC patients is limited. The contrast-enhanced DL model provides a non-invasive tool for the prediction of VETC-HCC. The proposed deep-learning signature assisted in identifying patients with a high risk of postoperative ER.

Multi-omics combined to explore the purging mechanism of Rhei Radix et Rhizoma and Magnoliae Officinalis Cortex.

Rhei Radix et Rhizoma and Magnoliae Officinalis Cortex have been used together to treat constipation in the clinical practices for more than 2000 years. Nonetheless, their compatibility mechanism is still unclear. In this study, the amelioration of Rhei Radix et Rhizoma combined with Magnoliae Officinalis Cortex on constipation was systematically and comprehensively evaluated. The results showed that their compatibility could markedly shorten gastrointestinal transport time, increase fecal water content and frequency of defecation, improve gastrointestinal hormone disorders and protect colon tissue of constipation rats compared with the single drug. Furthermore, according to 16S rRNA sequencing in conjunction with UPLC-Q-TOF/MS, the combination of two herbal medications could greatly raise the number of salutary bacteria (Lachnospiraceae, Romboutsia and Subdoligranulum) while decreasing the abundance of pathogenic bacteria (Erysipelatoclostridiaceae). And two herb drugs could markedly improve the disorder of fecal metabolic profiles. A total of 7 different metabolites associated with constipation were remarkably shifted by the compatibility of two herbs, which were mainly related to arachidonic acid metabolism, alpha-linolenic acid metabolism, unsaturated fatty acid biosynthesis and other metabolic ways. Thus, the regulation of intestinal microbiome and its metabolism could be a potential target for Rhei Radix et Rhizoma and Magnoliae Officinalis Cortex herb pair to treat constipation. Furthermore, the multi-omics approach utilized in this study, which integrated the microbiome and metabolome, had potential for investigating the mechanism of traditional Chinese medicines.

CPEB1 Controls NRF2 Proteostasis and Ferroptosis Susceptibility in Pancreatic Cancer.

Pancreatic cancer is the deadliest malignancy with a poor response to chemotherapy but is potentially indicated for ferroptosis therapy. Here we identified that cytoplasmic polyadenylation element binding protein 1 (CPEB1) regulates NRF2 proteostasis and susceptibility to ferroptosis in pancreatic ductal adenocarcinoma (PDAC). We found that CPEB1 deficiency in cancer cells promotes the translation of p62/SQSTM1 by facilitating mRNA polyadenylation. Consequently, upregulated p62 enhances NRF2 stability by sequestering KEAP1, an E3 ligase for proteasomal degradation of NRF2, leading to the transcriptional activation of anti-ferroptosis genes. In support of the critical role of this signaling cascade in cancer therapy, CPEB1-deficient pancreatic cancer cells display higher resistance to ferroptosis-inducing agents than their CPEB1-normal counterparts in vitro and in vivo. Furthermore, based on the pathological evaluation of tissue specimens from 90 PDAC patients, we established that CPEB1 is an independent prognosticator whose expression level is closely associated with clinical therapeutic outcomes in PDAC. These findings identify the role of CPEB1 as a key ferroptosis regulator and a potential prognosticator in pancreatic cancer.

Bioactive compounds from dichloromethane extract of Artemisia rupestris L. alleviates CCl4/ConA-induced acute liver injury by inhibiting PI3K-AKT pathway.

ETHNOPHARMACOLOGICAL RELEVANCE: Artemisia rupestris L. (AR) is a traditional medicinal herb commonly used in the Uyghurs and Kazakhs; it was first documented in the Supplement to Compendium of Materia Medica written by Zhao Xuemin in the Qing Dynasty of China and is used clinically to treat colds, hepatitis, and allergic diseases. AIM OF THE STUDY: The material basis and mechanisms of AR in acute liver injury (ALI) remain unclear. The purpose of this study was to reveal the possible active components involved in liver protection in AR and to preliminarily explore their pharmacological mechanisms. MATERIALS AND METHODS: The chemical composition of the ethanolic extract (ARA) was identified by UPLC-Q-Exactive-MS/MS and confirmed by 32 reference standards. The pharmacodynamic results were utilized to screen the active part within the ARA that contribute to the amelioration of CCl4/ConA-induced ALI. The main active components and core targets were predicted by network pharmacology and verified by molecular docking combined with qPCR and Western blotting. RESULTS: A total of 131 chemical components were identified in the ARA. The extraction parts of ARA had different therapeutic effects on ALI, among which the dichloromethane extract (ARA-D), which might constitute the main effective fraction of ARA, had significant anti-ALI effects. The network pharmacology results showed that targets including PIK3R1, AKT1, and EGFR, as well as 7 compounds, such as artemetin, vitexicarpin and rupestonic acid may play pivotal roles in treating CCl4/ConA-induced ALI. GO and KEGG pathway enrichment analyses revealed that the PI3K-AKT signaling pathway was the main pathway involved. In each model, ARA-D dose-dependently reduced the increase in ALT levels. High-dose ARA-D markedly decreased ALT activity from 196.79 ± 24.82 to 66.37 ± 16.19 U/L in the CCl4 model group and from 178.00 ± 28.39 to 50.67 ± 7.39 U/L in the ConA model group. Further studies revealed that ARA-D significantly inhibited TNF-α, IL-1ß, and IL-6 expression and inhibited the protein expression of PI3K, p-PI3K, and p-AKT in CCl4/ConA-induced ALI. CONCLUSION: ARA-D exhibits protective effects against ALI induced by CCl4/ConA, potentially through inhibition of the PI3K-AKT signaling pathway. These findings may help to determine the material basis and mechanisms of action of ARA-D for liver protection and provide ideas for future comprehensive studies.

Predicting prognosis and immunotherapy response in colorectal cancer by pericytes insights from single-cell RNA sequencing.

Immunotherapy has revolutionized the treatment of tumors, but there are still a large number of patients who do not benefit from immunotherapy. Pericytes play an important role in remodeling the immune microenvironment. However, how pericytes affect the prognosis and treatment resistance of tumors is still unknown. This study jointly analyzed single-cell RNA sequencing (scRNA-seq) data and bulk RNA sequencing data of multiple cancers to reveal pericyte function in the colorectal cancer microenvironment. Analyzing over 800 000 cells, it was found that colorectal cancer had more pericyte enrichment in tumor tissues than other cancers. We then combined the TCGA database with multiple public datasets and enrolled more than 1000 samples, finding that pericyte may be closely related to poor prognosis due to the higher epithelial-mesenchymal transition (EMT) and hypoxic characteristics. At the same time, patients with more pericytes have higher immune checkpoint molecule expressions and lower immune cell infiltration. Finally, the contributions of pericyte in poor treatment response have been demonstrated in multiple immunotherapy datasets (n = 453). All of these observations suggest that pericyte can be used as a potential biomarker to predict patient disease progression and immunotherapy response.

Microstructure regulation and microwave absorption properties of ZnO/RGO composites.

Electromagnetic waves can cause different degrees of damage to the human body. People are developing unique nanomaterials with excellent reflection loss (RL), thin thickness, wide frequency band and light weight to improve the absorption efficiency of electromagnetic waves. Using a hydrothermal method, ZnO nanocrystals are combined with graphene oxide (GO). After heat treatment, evenly dispersed ZnO nanocrystals are attached to the GO surface or inserted into the lamellae, and the amount of Zn(CH3COO)2·2H2O and GO is selected to obtain ZnO/RGO nanocomposites with different mass ratios (1 : 1, 1 : 2, 1 : 3). The ZnO/RGO nanocomposites were mixed with paraffin wax with different mass ratios (15, 20, 25, 30 wt%) to explore their electromagnetic parameters and wave absorption properties. It is found that at 25 wt%, ZnO : GO = 3 : 1 and thickness of 3 mm, the sample exhibits excellent wave absorption performance (-36.6 dB) and wide effective absorption bandwidth (6.6 GHz). The microwave absorption performance is enhanced because ZnO nanocrystals inhibit RGO agglomeration and improve impedance matching between the heterostructure interface and RGO.

Ferrous sulfate combined with ultrasound emulsified cinnamaldehyde nanoemulsion to cause ferroptosis in Escherichia coli O157:H7.

The purpose of this study was to investigate ferroptosis in Escherichia coli O157:H7 caused by ferrous sulfate (FeSO4) and to examine the synergistic effectiveness of FeSO4 combined with ultrasound-emulsified cinnamaldehyde nanoemulsion (CALNO) on inactivation of E. coli O157:H7 in vitro and in vivo. The results showed that FeSO4 could cause ferroptosis in E. coli O157:H7 via generating reactive oxygen species (ROS) and exacerbating lipid peroxidation. In addition, the results indicated that FeSO4 combined with CALNO had synergistic bactericidal effect against E. coli O157:H7 and the combined treatment could lead considerable nucleic acids and protein to release by damaging the cell membrane of E. coli O157:H7. Besides, FeSO4 combined with CALNO had a strong antibiofilm ability to inhibit E. coli O157:H7 biofilm formation by reducing the expression of genes related on biofilm formation. Finally, FeSO4 combined with CALNO exhibited the significant antibacterial activity against E. coli O157:H7 in hami melon and cherry tomato.

Establishment, optimization and validation of a fluorescence polarization-based high-throughput screening assay targeting cathepsin L inhibitors.

Cathepsin L (CTSL), a lysosomal cysteine proteinase, is primarily dedicated to the metabolic turnover of intracellular proteins. It is involved in various physiological processes and contributes to pathological conditions such as viral infection, tumor invasion and metastasis, inflammatory status, atherosclerosis, renal disease, diabetes, bone diseases, and other ailments. The coronavirus disease 2019 (COVID-19), with its rapid global spread and significant mortality, has been a worldwide epidemic since the late 2019s. Notably, CTSL plays a role in the processing of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein, providing a potential avenue to block coronavirus host cell entry and thereby inhibit SARS-CoV-2 infection in humans. In this study, we have developed a novel method using fluorescence polarization (FP) for screening CTSL inhibitors in a high-throughput format. The optimized assay demonstrated its appropriateness for high-throughput screening (HTS) with a Z-factor of 0.9 in a 96-well format. Additionally, the IC50 of the known inhibitor, Z-Phe-Tyr-CHO, was determined to be 188.50 ± 46.88 nM. Upon screening over 2000 small molecules, we identified, for the first time, the anti-CTSL properties of a benzothiazoles derivative named IMB 8015. This work presents a novel high-throughput approach and its application in discovering and evaluating CTSL inhibitors.

Evaluation of Iron Chlorin e6 disappearance and hydrolysis in soil and garlic using salting-out assisted liquid-liquid extraction coupled with high-performance liquid chromatography and ultraviolet-visible detection.

Iron Chlorin e6 (ICE6), a star plant growth regulator (PGR) with independent intellectual property rights in China, has demonstrated its efficacy through numerous field experiments. We innovatively employed salting-out assisted liquid-liquid extraction (SALLE) with HPLC-UV/Vis to detect ICE6 residues in water, soil, garlic seeds, and sprouts. Using methanol and a C18 column with acetonitrile: 0.1% phosphoric acid mobile phase (55:45, v:v), we achieved a low LOQ of 0.43 to 0.77 µg kg-1. Calibration curves showed strong linearity (R2 > 0.992) within 0.01 to 5.00 mg kg-1. Inter-day and intra-day recoveries (0.05 to 0.50 mg kg-1) demonstrated high sensitivity and accuracy (recoveries: 75.36% to 107.86%; RSD: 1.03% to 8.78%). Additionally, density functional theory (DFT) analysis aligned UV/Vis spectra and indicated ICE6's first-order degradation (2.03 to 4.94 days) under various environmental conditions, mainly driven by abiotic degradation. This study enhances understanding of ICE6's environmental behavior, aids in risk assessment, and guides responsible use in agroecosystems.

Waterlogging in soil restricts the growth of Gleditsia sinensis seedlings and inhibits the accumulation of lignans and phenolic acids in thorns.

Gleditsia sinensis, commonly known as Chinese Zaojiao, has important economic value and medicinal compounds in its fruits and thorns, making it widely cultivated artificially in China. However, the available literature on the impact of waterlogging on the growth of G. sinensis seedlings and the accumulation of metabolite compounds in its thorns is limited. To address this knowledge gap, G. sinensis seedlings were planted in soil supplemented with pindstrup substrate, which enhances the water-holding capacity of the soil. The analyses of morphological traits and nutrient elements in one-year-old G. sinensis seedlings grown naturally under ambient conditions and metabolite accumulation in its thorns were conducted. The results showed that the waterlogged soil significantly diminished the height, fresh weight, and dry weight of seedling roots and stems (P < 0.05). Furthermore, waterlogging hindered the uptake of iron (Fe) and manganese (Mn), as well as the transport of potassium (K). The identified metabolites within the thorns were categorized into 16 distinct groups. Relative to the control soil, fatty acids and derivatives were the most down-regulated metabolites in the waterlogged soil, accounting for 40.58% of the total metabolites, followed by lignans (38.71%), phenolic acids (34.48%), saccharides and alcohols (34.15%), steroids (16.67%), alkaloids (12.24%), flavonoids (9.28%), and glycerophospholipids (7.41%). Conversely, nucleotides and derivatives experienced the greatest up-regulation in the waterlogged soil, accounting for 50.00% of the total metabolites. In conclusion, waterlogging negatively impacted the growth of G. sinensis seedlings and inhibited the accumulation of metabolites. Hence, when considering the accumulation of secondary metabolites such as lignans and phenolic acids, appropriate management of soil moisture levels should be taken into account.

In Vitro Assessment of Ozone-Treated Deoxynivalenol by Measuring Cytotoxicity and Wheat Quality.

Deoxynivalenol (DON), a trichothecene mycotoxin, could lead to cytotoxicity in both animal bodies and plant seed cells. Ozone degradation technology has been applied to DON control. However, the safety and quality of the contaminated grain after DON degradation are largely obscured. In this work, we evaluated the cytotoxicity of ozone-treated DON through seed germination experiments and cytotoxicity tests. Cell experiments showed that the inhibition rate of HepG2 viability gradually increased within the concentrations of 1-10 mg/L of DON, alongside which an IC50 (half maximal inhibitory concentration) of 9.1 mg/L was determined. In contrast, degrading DON had no significant inhibitory effect on cell growth. Moreover, a 1-10 mg/L concentration of DON increased production of a large amount of reactive oxygen radicals in HepG2, with obvious fluorescence color development. However, fluorescence intensity decreased after DON degradation. Further, DON at a concentration of >1 mg/L significantly inhibited the germination of mung bean seeds, whereas no significant inhibition of their germination or growth were observed if DON degraded. Changes in total protein content, fatty acid value, and starch content were insignificant in wheat samples suffering ozone degradation, compared to the untreated group. Lastly, the ozone-treated wheat samples exhibited higher tenacity and whiteness. Together, our study indicated that the toxicity of DON-contaminated wheat was significantly reduced after ozone degradation.

Establishment and Corresponding Nursing Measures of Intelligent Health Education Platform for Parkinson's Patients Based on Behavior Change Theory.

Objective: Parkinson's disease is a brain disorder that can cause mobility problems as well as mental health, sleep, pain and other health problems. To analyze the establishment of a platform for Parkinson's patients to cooperate with intelligent health education based on behavior change theory and the corresponding nursing measures. Methods: 80 patients with Parkinson's disease in the Affiliated Brain Hospital of Nanjing Medical University from October 2021 to September 2022 were selected and included in the conventional and wisdom education groups according to different health education methods, with 40 patients in each group. The conventional education group carried out routine health education and nursing. Based on routine health education and nursing, the wisdom education group established a smart health education platform based on behavior change theory. It implemented corresponding health education and nursing measures. The knowledge, belief and practice (KAP score), psychological status, self-efficacy [General self-efficacy scale (GSES) score], motor function [Parkinson's disease Uniform Scoring Scale (UPDRS) - III score], daily living ability (Barthel index), sleep quality (PSQI score), quality of life (QOL score), complication rate (pressure sores, constipation, bruises), and education satisfaction of the two groups were compared. Results: The KAP score of the wisdom education group after health education was higher than that of the conventional education group (P < .05); The SAS and SDS scores of the wisdom education group after health education were lower than those of the conventional education group (P < .05); The GSES score of the wisdom education group after health education was higher than that of the conventional education group (P < .05); The UPDRS - III score of the wisdom education group after health education was lower than that of the conventional education group, and the Barthel index was higher than that of the conventional education group, P < .05; The PSQI score of the wisdom education group after health education was lower than that of the conventional education group, and the QOL score was higher than that of the conventional education group, P < .05; The incidence of complications in the wisdom education group was lower than that in the conventional education group (P < .05); The satisfaction of the wisdom education group was higher than that of the conventional education group (P < .05). Conclusion: The establishment of an intelligent health education platform based on behavior change theory for Parkinson's patients and the implementation of corresponding health education and nursing measures can significantly improve the knowledge, belief, practice, and psychological status of patients. This will be helpful for those patients and clinicians. There are also limitations, such as little numbers of patients and no mechanisms.

Adsorption-desorption behavior of florpyrauxifen-benzyl on three microplastics in aqueous environment as well as its mechanism and various influencing factors.

Microplastics (MPs) and pesticides are two categories contaminants with proposed negative impacts to aqueous ecosystems, and adsorption of pesticides on MPs may result in their long-range transport and compound combination effects. Florpyrauxifen-benzyl, a novel pyridine-2-carboxylate auxin herbicide has been widely used to control weeds in paddy field, but the insights of which are extremely limited. Therefore, adsorption and desorption behaviors of florpyrauxifen-benzyl on polyvinyl chloride (PVC), polyethylene (PE) and disposable face masks (DFMs) in five water environment were investigated. The impacts of various environmental factors on adsorption capacity were evaluated, as well as adsorption mechanisms. The results revealed significant variations in adsorption capacity of florpyrauxifen-benzyl on three MPs, with approximately order of DFMs > PE > PVC. The discrepancy can be attributed to differences in structural and physicochemical properties, as evidenced by various characterization analysis. The kinetics and isotherm of florpyrauxifen-benzyl on three MPs were suitable for different models, wherein physical force predominantly governed adsorption process. Thermodynamic analysis revealed that both high and low temperatures weakened PE and DFMs adsorption, whereas temperature exhibited negligible impact on PVC adsorption. The adsorption capacity was significantly influenced by most environmental factors, particularly pH, cations and coexisting herbicide. This study provides valuable insights into the fate of florpyrauxifen-benzyl in presence of MPs, suggesting that PVC, PE and DFMs can serve as carriers of florpyrauxifen-benzyl in aquatic environment.