Accuracy of brain natriuretic peptide and N-terminal brain natriuretic peptide for detecting paediatric pulmonary hypertension: a systematic review and meta-analysis

OBJECTIVE

Pulmonary hypertension (PH) is a life-threatening disease, especially in paediatric population. Symptoms of paediatric PH are non-specific. Accurate detection of paediatric PH is helpful for early treatment and mortality reduction. Therefore, we assessed the overall performance of brain natriuretic peptide (BNP) and N-terminal brain natriuretic peptide (NT-proBNP) for diagnosing PH in paediatric population.

METHODS

PubMed, Web of Science, Cochrane Library and Embase databases were screened since their respective inceptions until August 2023. A bivariate random model and a hierarchical summary receiver operating characteristic model were used together to evaluate and summarize the overall performance of BNP and NT-proBNP for diagnosing paediatric PH.

RESULTS

Eighteen studies using BNP/NT-proBNP were assessed, comprising 1127 samples. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and area under the curve (AUROC) of BNP/NT-proBNP were separately as 0.81, 0.87, 6.33, 0.21, 29.50 and 0.91, suggesting a good diagnostic performance of BNP/NT-proBNP for detecting PH in paediatric population. For BNP, the pooled sensitivity, specificity, PLR, NLR, DOR and AUROC were 0.83, 0.89, 7.76, 0.19, 40.90 and 0.93, indicating the diagnostic accuracy of BNP for paediatric PH patients was good. For NT-proBNP, the pooled sensitivity, specificity, PLR, NLR, DOR and AUROC were 0.81, 0.86, 5.59, 0.22, 24.96 and 0.90, showing that NT-proBNP could provide a good value for detecting paediatric PH.

CONCLUSIONS

Both BNP and NT-proBNP are good markers for differentiating paediatric PH patients from non-PH individuals.

Scientometric Research and Critical Analysis of Gait and Balance in Older Adults

Gait and balance have emerged as a critical area of research in health technology. Gait and balance studies have been affected by the researchers' slow follow-up of research advances due to the absence of visual inspection of the study literature across decades. This study uses advanced search methods to analyse the literature on gait and balance in older adults from 1993 to 2022 in the Web of Science (WoS) database to gain a better understanding of the current status and trends in the field for the first time. The study analysed 4484 academic publications including journal articles and conference proceedings on gait and balance in older adults. Bibliometric analysis methods were applied to examine the publication year, number of publications, discipline distribution, journal distribution, research institutions, application fields, test methods, analysis theories, and influencing factors in the field of gait and balance. The results indicate that the publication of relevant research documents has been steadily increasing from 1993 to 2022. The United States (US) exhibits the highest number of publications with 1742 articles. The keyword "elderly person" exhibits a strong citation burst strength of 18.04, indicating a significant focus on research related to the health of older adults. With a burst factor of 20.46, Harvard University has made impressive strides in the subject. The University of Pittsburgh displayed high research skills in the area of gait and balance with a burst factor of 7.7 and a publication count of 103. The research on gait and balance mainly focuses on physical performance evaluation approaches, and the primary study methods include experimental investigations, computational modelling, and observational studies. The field of gait and balance research is increasingly intertwined with computer science and artificial intelligence (AI), paving the way for intelligent monitoring of gait and balance in the elderly. Moving forward, the future of gait and balance research is anticipated to highlight the importance of multidisciplinary collaboration, intelligence-driven approaches, and advanced visualization techniques.

Integrating UPLC-QTOF-MS/MS and UPLC-DAD to evaluate the influence of sulfur-fumigated Paeoniae Radix Alba on the overall quality of three Si-Wu-Tang formulations

INTRODUCTION

Sulfur-fumigation of Paeoniae Radix Alba (PRA) could induce the chemical transformation of its bioactive component paeoniflorin into a sulfur-containing derivative paeoniflorin sulfite, and thus alter the quality, bioactivities, pharmacokinetics, and toxicities of PRA. However, how sulfur-fumigated PRA (S-PRA) affects the quality of PRA-containing complex preparations has not been intensively evaluated.

OBJECTIVES

We intend to evaluate the influence of S-PRA on the overall quality of three kinds of Si-Wu-Tang (SWT) formulations, i.e., decoction (SWT-D), granule (SWT-G), and mixture (SWT-M).

MATERIAL AND METHODS

An UPLC-DAD multi-components quantification method was used to compare the transfer rates of paeoniflorin sulfite and other 10 bioactive components between S-PRA-containing and NS-PRA-containing SWT formulations. An UPLC-QTOF-MS/MS-based target metabolomics approach was applied to explore the differential sulfur-containing derivatives in S-PRA-containing SWT formulations.

RESULTS

The transfer rates of paeoniflorin sulfite in three S-PRA-containing SWT formulations were all higher than 100%. Moreover, S-PRA also increased the transfer rate of 5-hydroxymethylfurfural, 1,2,3,4,6-O-pentagalloylglucose, whereas decreased that of paeoniflorin, albiflorin, and ferulic acid in three SWT formulations. Six pinane monoterpene glucoside sulfites originally identified in S-PRA, were also detectable in three S-PRA-containing SWT formulations. In addition, seven phenolic acid sulfites including (3Z)-6-sulfite-ligustilide, (3E)-6-sulfite-ligustilide, 6,8-disulfite-ligustilide, ferulic acid sulfite, neochlorogenic acid sulfite, chlorogenic acid sulfite, and angelicide sulfite (or isomer) were newly identified in these three S-PRA-containing formulations.

CONCLUSION

S-PRA could differentially affect the transfer rate of paeoniflorin sulfite and other bioactive components during the preparation of three SWT formulations and subsequently the overall quality thereof.

HSPA12A maintains aerobic glycolytic homeostasis and Histone3 lactylation in cardiomyocytes to attenuate myocardial ischemia/reperfusion injury

Myocardial ischemia/reperfusion (MI/R) injury is a major cause of adverse outcomes of revascularization following myocardial infarction. Anaerobic glycolysis during myocardial ischemia is well studied, but the role of aerobic glycolysis during the early phase of reperfusion is incompletely understood. Lactylation of Histone H3 (H3) is an epigenetic indicator of the glycolytic switch. Heat shock protein A12A (HSPA12A) is an atypic member of the HSP70 family. In the present study, we report that, during reperfusion following myocardial ischemia, HSPA12A was downregulated and aerobic glycolytic flux was decreased in cardiomyocytes. Notably, HSPA12A KO in mice exacerbated MI/R-induced aerobic glycolysis decrease, cardiomyocyte death, and cardiac dysfunction. Gain- and loss-of-function studies demonstrated that HSPA12A was required to support cardiomyocyte survival upon hypoxia/reoxygenation (H/R) challenge and that its protective effects were mediated by maintaining aerobic glycolytic homeostasis for H3 lactylation. Further analyses revealed that HSPA12A increased Smurf1-mediated Hif1α protein stability, thus increasing glycolytic gene expression to maintain appropriate aerobic glycolytic activity to sustain H3 lactylation during reperfusion and, ultimately, improving cardiomyocyte survival to attenuate MI/R injury.

Shuangshi Tonglin Capsule treats benign prostatic hyperplasia through the ROS/NLRP3 signaling pathway

OBJECTIVE

To explore the effects of the SSTL on BPH and clarify the therapeutic mechanisms.

METHODS

Animal model of BPH was established by castration and subcutaneous injection of TP into SD rats; rats were orally administered SSTL for 28 days while modeling. Detection of PI, LI and RI in rats, to observe histopathological changes and collagen deposition in the prostate tissue. Detects levels of sex hormones and inflammatory factors in serum and tissues of rats, the test kit detects levels of lipid peroxides and antioxidants in serum and tissues. Fluorescent staining analysis of tissue ROS; the expression of NLRP3 inflammatory vesicles was observed by immunohistochemistry; Western blotting detected the expression of NOX4, NOX2, NLRP3 inflammatory vesicles, ASC, Cleaved Caspase-1, Caspase-1, IL-1β.

RESULTS

After SSTL capsule treatment, the PI and RI of the rats decrease. HE and Masson staining showed that SSTL ameliorated the pathological damage and reduced collagen deposition in the prostate tissue of BPH rats; ELISA results showed that SSTL was able to reduce T, DHT, TNF-α, IL-1β levels in BPH rats. The test kit showed that SSTL made the levels of MDA, CAT and GSH-Px in the serum and prostate tissue of rats and increased the activity of SOD. The results of ROS fluorescence showed that the ROS level was reduced in SSTL group; Western blotting showed that SSTL could cause down-regulation of NOX4, NOX2, NLRP3, ASC, Cleaved Caspase-1, IL-1β protein expression.

CONCLUSION

SSTL can reduce the PI and RI in BPH rats, it can also inhibit the level of sex hormones and inflammatory factors in BPH rats, which thereby reducing the histopathological damage of prostate gland in BPH rats, and can treat BPH in rats through ROS/NLRP3 pathway.

Effect of modifying pumpkin preparation on oral processing of breads

There is an increasing demand for texture sensations of bread during mastication, with reformulation being needed. This study investigated how bread structure influences oral processing behavior and texture perception. Variations in bread structure were created by manipulating ingredient additions, including pumpkin content and pumpkin processing methods. Results indicated that the physical, chemical, and structural properties drove the oral processing behaviors, and texture sensations were highly correlated with bolus properties. At the beginning and middle of the mastication, bolus from breads with low pumpkin-content required more saliva and exhibited greater hardness, lower adhesiveness, and a higher proportion of small-piece particles than the bolus from high pumpkin-content breads. Bolus from pumpkin pulp breads required more saliva, and was softer, stickier, and generated particles with a lower degree of degradation than the bolus from pumpkin puree breads. However, at the end period, the bolus properties tended to change to similar values. Low pumpkin content breads were initially perceived chewy, whereas high pumpkin content, soft. The dominance rate for soft sensation was higher and lasted longer in breads with pumpkin puree than in breads with pumpkin pulp. Finally, six bread samples were all perceived as hydrated, sticky, and crumbly. This study contributes to a better understanding of the impact of reformulation on oral behavior and sensory properties.

Watching (De)Intercalation of 2D Metals in Epitaxial Graphene: Insight into the Role of Defects

Intercalation forms heterostructures, and over 25 elements and compounds are intercalated into graphene, but the mechanism for this process is not well understood. Here, the de-intercalation of 2D Ag and Ga metals sandwiched between bilayer graphene and SiC are followed using photoemission electron microscopy (PEEM) and atomistic-scale reactive molecular dynamics simulations. By PEEM, de-intercalation "windows" (or defects) are observed in both systems, but the processes follow distinctly different dynamics. Reversible de- and re-intercalation of Ag is observed through a circular defect where the intercalation velocity front is 0.5 nm s-1 ± 0.2 nm s.-1 In contrast, the de-intercalation of Ga is irreversible with faster kinetics that are influenced by the non-circular shape of the defect. Molecular dynamics simulations support these pronounced differences and complexities between the two Ag and Ga systems. In the de-intercalating Ga model, Ga atoms first pile up between graphene layers until ultimately moving to the graphene surface. The simulations, supported by density functional theory, indicate that the Ga atoms exhibit larger binding strength to graphene, which agrees with the faster and irreversible diffusion kinetics observed. Thus, both the thermophysical properties of the metal intercalant and its interaction with defective graphene play a key role in intercalation.

Intratumoural and peritumoural CT-based radiomics for diagnosing lepidic-predominant adenocarcinoma in patients with pure ground-glass nodules: a machine learning approach

AIM

To develop and validate a diagnostic model utilising machine-learning algorithms that differentiates lepidic predominant adenocarcinoma (LPA) from other pathological subtypes in patients with pure ground-glass nodules (pGGNs).

MATERIALS AND METHODS

This bicentric study was conducted across two medical centres and included 151 patients diagnosed with lung adenocarcinoma based on histopathological confirmation of pGGNs. The training cohort consisted of 99 patients from Institution 1, while the test cohort included 52 patients from Institution 2. Radiomics features were extracted from both tumours and the 2 mm peritumoural parenchyma. The tumoural and peritumoural radiomics were designated as Modeltumoural and Modelperitumoural, respectively. The diagnostic efficacy of various models was evaluated through the receiver operating characteristic (ROC) curve analysis. Subsequently, a machine-learning-based prediction model that combined Modeltumoural, Modelperitumoural, and Modelclinical-radiological was developed to differentiate LPA from other pathological subtypes in patients with pGGNs.

RESULTS

Modeltumoural achieved area under the curve (AUC) values of 0.762 and 0.783 in the training and validation sets, respectively. Modelperitumoural attained AUCs of 0.742 and 0.667, and Modelclinical-radiological generated an AUC of 0.727 and 0.739 in the training and validation sets, respectively. Among the machine-learning models evaluated, gradient boosting machines demonstrated the best diagnostic efficacy, with accuracy, AUC, F1 score, and log loss values of 0.885, 0.956, 0.943, and 0.260, respectively.

CONCLUSION

The combined model based on machine learning that incorporated tumour and peritumoural parenchyma, as well as clinical and imaging characteristics, may offer benefits in assessing the pathological subtype of pGGNs.

HSPA12A acts as a scaffolding protein to inhibit cardiac fibroblast activation and cardiac fibrosis

INTRODUCTION

Cardiac fibrosis is the main driver for adverse remodeling and progressive functional decline in nearly all types of heart disease including myocardial infarction (MI). The activation of cardiac fibroblasts (CF) into myofibroblasts is responsible for cardiac fibrosis. Unfortunately, no ideal approach for controlling CF activation currently exists.

OBJECTIVES

This study investigated the role of Heat shock protein A12A (HSPA12A), an atypical member of the HSP70 family, in CF activation and MI-induced cardiac fibrosis.

METHODS

Primary CF and Hspa12a knockout mice were used in the experiments. CF activation was indicated by the upregulation of myofibroblast characters including alpha-Smooth muscle actin (αSMA), Collagen, and Fibronectin. Cardiac fibrosis was illustrated by Masson's trichrome and picrosirius staining. Cardiac function was examined using echocardiography. Glycolytic activity was indicated by levels of extracellular lactate and the related protein expression. Protein stability was examined following cycloheximide and MG132 treatment. Protein-protein interaction was examined by immunoprecipitation-immunoblotting analysis.

RESULTS

HSPA12A displayed a high expression level in quiescent CF but showed a decreased expression in activated CF, while ablation of HSPA12A in mice promoted CF activation and cardiac fibrosis following MI. HSPA12A overexpression inhibited the activation of primary CF through inhibiting glycolysis, while HSPA12A knockdown showed the opposite effects. Moreover, HSPA12A upregulated the protein expression of transcription factor p53, by which mediated the HSPA12A-induced inhibition of glycolysis and CF activation. Mechanistically, this action of HSPA12A was achieved by acting as a scaffolding protein to bind p53 and ubiquitin specific protease 10 (USP10), thereby promoting the USP10-mediated p53 protein stability and the p53-medicated glycolysis inhibition.

CONCLUSION

The present study provided clear evidence that HSPA12A is a novel endogenous inhibitor of CF activation and cardiac fibrosis. Targeting HSPA12A in CF could represent a promising strategy for the management of cardiac fibrosis in patients.

Murine trophoblast organoids as a model for trophoblast development and CRISPR-Cas9 screening

The placenta becomes one of the most diversified organs during placental mammal radiation. The main in vitro model for studying mouse trophoblast development is the 2D differentiation model of trophoblast stem cells, which is highly skewed to certain lineages and thus hampers systematic screens. Here, we established culture conditions for the establishment, maintenance, and differentiation of murine trophoblast organoids. Murine trophoblast organoids under the maintenance condition contain stem cell-like populations, whereas differentiated organoids possess various trophoblasts resembling placental ones in vivo. Ablation of Nubpl or Gcm1 in trophoblast organoids recapitulated their deficiency phenotypes in vivo, suggesting that those organoids are valid in vitro models for trophoblast development. Importantly, we performed an efficient CRISPR-Cas9 screening in mouse trophoblast organoids using a focused sgRNA (single guide RNA) library targeting G protein-coupled receptors. Together, our results establish an organoid model to investigate mouse trophoblast development and a practicable approach to performing forward screening in trophoblast lineages.

Shuangshi Tonglin capsule improves chronic prostatitis through the SIRT-1/AMPK and MAPK signalling pathways

Objectives

To explore the effects of the Shuangshi Tonglin (SSTL) capsule on CP/CPPS and reveal the therapeutic mechanisms.

Methods

A CP/CPPS rat-model group received an intraprostatic injection of CFA. SSTL capsule were administered daily by oral gavage at doses of 1.25, 2.5, and 5.0 g/kg for 28 days. Pain threshold tests were performed, and prostate and blood samples were collected. We performed histological analysis of the prostate tissue and immunohistochemical analysis of TNF-α and COX-2. Measure the TNF-α levels, detect antioxidant levels in serum and prostate tissue, and evaluate the expression of proteins with the AMPK/SIRT-1 and MAPK signalling pathways.

Results

After SSTL capsule treatment, all animals exhibited an increased mechanical pain threshold in the lower abdomen, decreased inflammation in the stroma, and reduced histological structural damage. Inflammation was reduced through the observed decrease in the levels of various inflammatory factors, as well as in the increase of the levels of MDA, p-AMPK, and SIRT-1. The suppression of IKKβ, p-P38, p-ERK and p-JNK was also observed.

Conclusions

SSTL capsule treatment decreased inflammation in the stroma and reduced histological structural damage. It improved CP/CPPS symptoms by inhibiting oxidative stress and inflammation. Our study indicates that the SSTL capsule is an effective treatment for prostatitis.

Machine Learning Differentiation of Autism Spectrum Sub-Classifications

PURPOSE

Disorders on the autism spectrum have characteristics that can manifest as difficulties with communication, executive functioning, daily living, and more. These challenges can be mitigated with early identification. However, diagnostic criteria has changed from DSM-IV to DSM-5, which can make diagnosing a disorder on the autism spectrum complex. We evaluated machine learning to classify individuals as having one of three disorders of the autism spectrum under DSM-IV, or as non-spectrum.

METHODS

We employed machine learning to analyze retrospective data from 38,560 individuals. Inputs encompassed clinical, demographic, and assessment data.

RESULTS

The algorithm achieved AUROCs ranging from 0.863 to 0.980. The model correctly classified 80.5% individuals; 12.6% of individuals from this dataset were misclassified with another disorder on the autism spectrum.

CONCLUSION

Machine learning can classify individuals as having a disorder on the autism spectrum or as non-spectrum using minimal data inputs.

Low Ni and Co olivine in Chang'E-5 basalts reveals the origin of the young volcanism on the Moon

Mare basalts returned by the Chang'E-5 (CE5) mission extend the duration of lunar volcanism almost one billion years longer than previously dated. Recent studies demonstrated that the young volcanism was related neither to radiogenic heating nor to hydrous melting. These findings beg the question of how the young lunar volcanism happened. Here we perform high-precision minor element analyses of olivine in the CE5 basalts, focusing on Ni and Co. Our results reveal that the CE5 basalt olivines have overall lower Ni and Co than those in the Apollo low-Ti basalts. The distinctive olivine chemistry with recently reported bulk-rock chemistry carries evidence for more late-stage clinopyroxene-ilmenite cumulates of the lunar magma ocean (LMO) in the CE5 mantle source. The involvement of these Fe-rich cumulates could lower the mantle melting temperature and produce low MgO magma, inhibiting Ni and Co partitioning into the magma during lunar mantle melting and forming low Ni and Co olivines for the CE5 basalts. Moreover, the CE5 olivines show a continuous decrease of Ni and Co with crystallization proceeding. Fractional crystallization modeling indicates that Co decreasing with crystallization resulted from CaO and TiO2 enrichment (with MgO and SiO2 depletion) in the CE5 primary magma. This further supports the significant contribution of late-stage LMO cumulates to the CE5 volcanic formation. We suggest that adding easily melted LMO components resulting in mantle melting point depression is a key pathway for driving prolonged lunar volcanism. This study highlights the usefulness of olivine for investigating magmatic processes on the Moon.

Workplace bullying and suicidal ideation and behaviour: a systematic review and meta-analysis

OBJECTIVES

Suicidal ideation and behaviour are potential outcomes of workplace bullying. This review aimed to determine the extent of the association between workplace bullying and suicidal ideation and behaviour.

STUDY DESIGN

The study incorporated a systematic review and meta-analysis.

METHODS

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement was followed to conduct a comprehensive systematic review and meta-analysis. A combination of subject terms and free words was used to search nine electronic databases. Two reviewers independently screened articles and extracted information according to the inclusion criteria. A meta-analysis was performed with averaged weighted correlations across samples using the STATA software (version 16.0) from pooled estimates of the main results from all studies.

RESULTS

In total, 25 articles of high or medium quality were included in the systematic review; 15 of these were included in the meta-analysis. The prevalence of suicidal ideation and behaviour was 18% and 4%, respectively. Individuals who experienced workplace bullying had 2.03-times and 2.67-times higher odds of reporting suicidal ideation and behaviour, respectively, after adjustment for confounding factors. Moderating and mediating factors may help reduce the risk of suicidal ideation and behaviour for individuals experiencing workplace bullying.

CONCLUSION

This study indicated that exposure to workplace bullying significantly increased the risk of suicidal ideation and behaviour.

Predicting Respiratory Rate from Electrocardiogram and Photoplethysmogram Using a Transformer-Based Model

The respiratory rate (RR) serves as a critical physiological parameter in the context of both diagnostic and prognostic evaluations. Due to the challenges of direct measurement, RR is still predominantly measured through the traditional manual counting-breaths method in clinic practice. Numerous algorithms and machine learning models have been developed to predict RR using physiological signals, such as electrocardiogram (ECG) or/and photoplethysmogram (PPG) signals. Yet, the accuracy of these existing methods on available datasets remains limited, and their prediction on new data is also unsatisfactory for actual clinical applications. In this paper, we proposed an enhanced Transformer model with inception blocks for predicting RR based on both ECG and PPG signals. To evaluate the generalization capability on new data, our model was trained and tested using subject-level ten-fold cross-validation using data from both BIDMC and CapnoBase datasets. On the test set, our model achieved superior performance over five popular deep-learning-based methods with mean absolute error (1.2) decreased by 36.5% and correlation coefficient (0.85) increased by 84.8% compared to the best results of these models. In addition, we also proposed a new pipeline to preprocess ECG and PPG signals to improve model performance. We believe that the development of the TransRR model is expected to further expedite the clinical implementation of automatic RR estimation.

High-Resolution Cathodoluminescence Images of Igneous and Metamorphic Monazite

Monazite is one of the most important dating accessory minerals for deciphering geological processes. The growth history of monazite can be identified by its internal structure; thus, high-resolution imaging is necessary for in situ U-Th-Pb dating. In this study, cathodoluminescence (CL) techniques were optimized via the key parameters of working distance, accelerating voltage, and beam current and were then applied to monazites from igneous and metamorphic rocks. The CL images of igneous monazites show concentric oscillatory zoning, whereas those of metamorphic monazites clearly show homogeneous, patchy, or core-rim structures. CL imaging is a more effective approach than back-scattered electron (BSE) imaging for the observation of the internal structure of monazite and may yield additional information. CL can add to the interpretation of X-ray maps and the two techniques that may complement each other. The CL spectra of monazite consist of broad peaks and sets of narrow emission rare earth element 3+ (REE3+) peaks (Gd3+, Tb3+, Dy3+, and Sm3+). The microstructures observed via CL imaging techniques can show a certain relationship between light REE (LREE) and U, Th, and Si in some igneous monazites and heavy REE (HREE) variation in some metamorphic monazites.

Joint Theoretical and Experimental Study of Stress Graphitization in Aligned Carbon Nanotube/Carbon Matrix Composites

Stress graphitization is a unique phenomenon at the carbon nanotube (CNT)-matrix interfaces in CNT/carbon matrix (CNT/C) composites. A lack of fundamental atomistic understanding of its evolution mechanisms and a gap between the theoretical and experimental research have hindered the pursuit of utilizing this phenomenon for producing ultrahigh-performance CNT/C composites. Here, we performed reactive molecular dynamics simulations along with an experimental study to explore stress graphitization mechanisms of a CNT/polyacrylonitrile (PAN)-based carbon matrix composite. Different CNT contents in the composite were considered, while the nanotube alignment was controlled in one direction in the simulations. We observe that the system with a higher CNT content exhibits higher localized stress concentration in the periphery of CNTs, causing alignment of the nitrile groups in the PAN matrix along the CNTs, which subsequently results in preferential dehydrogenation and clustering of carbon rings and eventually graphitization of the PAN matrix when carbonized at 1500 K. These simulation results have been validated by experimentally produced CNT/PAN-based carbon matrix composite films, with transmission electron microscopy images showing the formation of additional graphitic layers converted by the PAN matrix around CNTs, where 82 and 144% improvements of the tensile strength and Young's modulus are achieved, respectively. The presented atomistic details of stress graphitization can provide guidance for further optimizing CNT-matrix interfaces in a more predictive and controllable way for the development of novel CNT/C composites with high performance.

UPLC-QTOF-MS/MS assisted UPLC-TQ-MS/MS strategy to comparatively investigate the rat pharmacokinetics of N-acetyldopamine oligomers derived from Cicadae Periostracum

Cicadae Periostracum (CP), the slough molted from the nymph of Cryptotympana pustulata, is a widely used medicinal material in traditional Chinese medicine (TCM). N-acetyldopamine oligomers (NAOs), the homologues of acetyldopamine, including N-acetyldopamine dimers/trimers/tetramers/pentamers (NADs/NATrs/NATes/NAPs), side-chain isomer of dimers/trimers (SCIDs/SCITrs), are major bioactive ingredients of CP. However, owing to commercially unavailable reference substances of all NAOs, simultaneous quantification of these NAOs in biological samples is difficult, and thus their pharmacokinetics are still unknown. In this study, a comprehensive strategy for simultaneous quantification/semi-quantification of NAOs in plasma with single N-acetyldopamine dimer A (NAD-A) as reference substance was established and comparatively investigated their pharmacokinetics after oral administration of pure NAD-A and two types of CP extracts, i.e., post-molting-washed slough (CP-WAT) and pre-molting-washed slough (CP-WBT). A UPLC-QTOF-MS/MS assisted UPLC-TQ-MS/MS strategy was developed to quantify NAOs in rat plasma. NAOs in CP extract were qualitatively characterized by UPLC-QTOF-MS/MS, then the quasi-molecular ions and characteristic fragment ions of the identified NAOs by UPLC-QTOF-MS/MS were transferred to UPLC-TQ-MS/MS as parent-daughter ion pairs for MRM mode quantification of the NAOs, and the method was validated with single NAD-A for quantifying NAD-A and semi-quantifying other NAOs in plasma. The established method was applied to compare the pharmacokinetics of NAOs after oral administration of NAD-A and the extracts of CP-WBT/CP-WAT respectively. Six quasi-molecular ions and characteristic fragment ion m/z 192.1 were characterized by UPLC-QTOF-MS/MS and transferred to be the parent-daughter ion pairs for UPLC-TQ-MS/MS analysis of six kinds of NAOs. For the pharmacokinetics, NAD-A showed double peaks absorption character when administered with single compound, but with higher relative bioavailability when administered with CP extracts with the similar dosage. Compared with CP-WAT, NAOs in CP-WBT reached the maximum plasma concentration in much shorter time.

Experimental Study on Repairing the Mechanical Characteristics of Oil-Contaminated Silty Clay in Ancient Dike with Modified Lime Mortar

Flood-controlled ancient dikes play a significant role in flood control and have received widespread attention as historical and cultural symbols. Flood-controlled ancient dikes often undergo disasters, and research on their repair is receiving increasing attention from experts and scholars. This article studies the control of seepage and bank slope instability in flood-controlled ancient dikes. Starting from the repair of ancient dike materials, three types of work are carried out: a test of soil's mechanical properties, finite element numerical simulation, and repair technology research. The research results show that the soil of the ancient dike site has hardened after being contaminated with waste oil from catering. The strength index of the ancient dike soil decreases and shows brittleness when the water content is 15% and the oil content exceeds 6%. The strength index and permeability coefficient of oil-contaminated soil improved using modified lime mortar (MLM), which was achieved using the method of MLM to repair oil contaminated soil. When the MLM content was 10% and the oil content was 6%, the friction angle of the soil sample reached its maximum value. When the MLM content was the same, the higher the density of the soil sample, the greater the friction angle and cohesion and the smaller the permeability coefficient. Establishing a finite element numerical model, through comparative analysis, it was found that after MLM remediation of oil-contaminated soil, the extreme hydraulic gradient of the ancient dike decreased by 31.3%, and the extreme safety factor of the bank slope stability increased by 31.2%. MLM pressure grouting technology was used to improve the soil during the remediation of contaminated soil at the ancient dike site. Through on-site drilling inspection, the effective diffusion radius of MLM grouting was obtained, and the plane layout and grouting depth of MLM pressure grouting were determined. The on-site water injection permeability test showed that using MLM pressure grouting technology can effectively repair oil-contaminated soil in the ancient dike while reducing the permeability coefficient by 8-15%.

Holistic quality evaluation of Callicarpae Formosanae Folium by multi-chromatography-based qualitative and quantitative analysis of polysaccharides and small molecules

Callicarpae Formosanae Folium (CFF), derived from the leaves of Callicarpa formosana Rolfe, is a common Chinese medicinal herb used for the treatment of hematemesis. Phytochemical studies found that phenylpropanoids, flavonoids, terpenoids and polysaccharides were the main ingredients of CFF. However, there is limited scientific information concerning holistic quality method and quality consistency evaluation of CFF. In this study, a strategy integrating HPGPC-ELSD, HPLC-PDA, UV-VIS and UPLC-QTOF-MS/MS was firstly developed to simultaneously qualify and quantify polysaccharides, as well as representative small molecules in CFF. HPGPC-ELSD was applied to characterize the molecular weight distribution of polysaccharides, HPLC-PDA was developed to qualitatively and quantitatively determine monosaccharides. UV-VIS was used to determine the total polysaccharides content, and UPLC-QTOF-MS/MS was established to characterize the small molecules. The quality consistency of commercial CFF (CM-CFF) was also evaluated. It was shown that the relative molecular weights, the compositional monosaccharides and small molecules composition in CM-CFF and self-collected CFF (SC-CFF) samples were similar. A total of 32 small molecules including 6 phenylpropanoids, 7 flavonoids and 19 terpenoids were characterized in CFF. However, the variation was observed in the content of polysaccharides, luteolin, ursolic acid, as well as total contents of terponoids in CM-CFF samples, which implied that the holistic quality of CM-CFF was inconsistent. The results suggested that the proposed evaluation strategy could be applied as a potential approach for the quality control of CFF. And the quality of CM-CFF should be improved by Good Agriculture Practice (GAP) base and standard processing method.

Assessing Effects of Multi-Scale Landscape Pattern and Habitats Attributes on Taxonomic and Functional Diversity of Urban River Birds

Several studies have revealed that urban rivers with relatively complete habitat structures can support a high level of biodiversity in urban areas. However, few studies have analyzed the impact of the plan, design, and management of multi-scale urban riverside green space on bird communities by assessing several aspects of diversity (e.g., taxonomic and functional). In this study, we explored bird community variation (taxonomic and functional) among three rivers (28 sampling sites) with different levels of human disturbance along the urban development gradient in Kunming, Yunnan Province, China, during an annual cycle. This study related bird species richness and functional diversity to environmental variables at three spatial scales: landscape metrics at two different landscape scales (500 and 100 m radius) and vegetation structure at patch scales (20 m radius). Using partial least squares regression (PLSR) and multiple linear regression, we found that bird species richness and functional diversity were strongly related to various landscape- and patch-level variables. Multiple linear regression models revealed that, compared with the richness influenced by explanatory variables on three spatial scales (500, 100, and 20 m), the functional diversity was significantly influenced by explanatory variables on the 100 and 20 m scales. Tree cover at the 20 m scale had significantly positive impacts on bird species richness and functional diversity. Forest land in the 100 m scale had a significantly positive effect on bird species richness and functional diversity, while construction land in the two landscape scales (the 500- and 100 m scales) had a significantly negative effect on species richness. Accordingly, we suggest that urban riverside green space should be planned and managed at multiple scales.

Quality consistency evaluation of commercial Prunellae Spica by integrating determination of secondary metabolites and saccharides

INTRODUCTION

Prunellae Spica (PS) is a commonly used medicinal herb in China. Secondary metabolites and saccharides are major bioactive components of PS. However, holistic quality consistency of commercial PS is ambiguous due to lack of comprehensive evaluation methods and reliable quality control markers.

OBJECTIVES

Integrating multiple chromatographic and chemometric methods to comprehensively evaluate the holistic quality of PS.

MATERIAL AND METHODS

Ultrahigh-performance liquid chromatography coupled with triple-quadrupole tandem mass spectrometry (UPLC-TQ-MS/MS) was applied to quantify 12 secondary metabolites of PS. High-performance liquid chromatography coupled with photodiode array/evaporative light scattering detection (HPLC-PDA/ELSD) and high-performance gel permeation chromatography (HPGPC) methods were used to characterise the saccharides. Multivariate statistical analysis was adopted to evaluate the quality consistency of commercial PS and explore the potential quality control markers.

RESULTS

The contents of secondary metabolites and saccharides were significantly different among commercial PS. All samples could be classified into three groups with ferulic acid, protocatechualdehyde, gallic acid, ursolic acid/oleanolic acid, sucrose, p-coumaric acid, chlorogenic acid as the major contributing components responsible for the difference. The content of rosmarinic acid was correlated with that of betulinic acid, hyperposide, chlorogenic acid, rutin, caffeic acid, p-coumaric acid and glucose, whereas polysaccharides, ferulic acid, protocatechualdehyde and ursolic acid/oleanolic acid, quercetin, sucrose and majority monosaccharides were not.

CONCLUSION

The holistic quality of commercial PS was inconsistent. Together with rosmarinic acid, ferulic acid, protocatechualdehyde, ursolic acid/oleanolic acid, polysaccharides and sucrose might be recommended as potential quality control markers for the holistic quality control of PS.

RNA independent fragment partition method based on deep learning for RNA secondary structure prediction

The non-coding RNA secondary structure largely determines its function. Hence, accuracy in structure acquisition is of great importance. Currently, this acquisition primarily relies on various computational methods. The prediction of the structures of long RNA sequences with high precision and reasonable computational cost remains challenging. Here, we propose a deep learning model, RNA-par, which could partition an RNA sequence into several independent fragments (i-fragments) based on its exterior loops. Each i-fragment secondary structure predicted individually could be further assembled to acquire the complete RNA secondary structure. In the examination of our independent test set, the average length of the predicted i-fragments was 453 nt, which was considerably shorter than that of complete RNA sequences (848 nt). The accuracy of the assembled structures was higher than that of the structures predicted directly using the state-of-the-art RNA secondary structure prediction methods. This proposed model could serve as a preprocessing step for RNA secondary structure prediction for enhancing the predictive performance (especially for long RNA sequences) and reducing the computational cost. In the future, predicting the secondary structure of long-sequence RNA with high accuracy can be enabled by developing a framework combining RNA-par with various existing RNA secondary structure prediction algorithms. Our models, test codes and test data are provided at https://github.com/mianfei71/RNAPar .

Structure-specific antitumor effects and potential gut microbiota-involved mechanisms of ginseng polysaccharides on B16F10 melanoma-bearing mice

Ginseng polysaccharides (GPs) have shown gut microbiota-related antitumor effects. However, the relation between their structures and antitumor functions remains unknown. Here, crude polysaccharide (GP-c) and its fractions neutral polysaccharide (GP-n) and pectin (GP-a) were prepared for structure characterization and anti-B16F10 melanoma effect evaluation, and their influence on gut microbiota diversities and short-chain fatty acids (SCFAs) were also analyzed. Spearman correlations among the altered gut microbiota, SCFAs, and antitumor effects were conducted to elucidate the structure-function relationships. It was shown that the structures of GP-c, GP-n, and GP-a varied in monosaccharide composition and molecular weight distribution. GP-n and GP-c showed anti-melanoma effects, whereas GP-a promoted its growth slightly. GP-n and GP-c restored SCFAs levels such as acetic acid and butyric acid; moreover, it improved the gut microbiota ecosystem by upregulating the abundance of Allobaculum and Bifidobacterium. However, the restoration effect of GP-a was weak, or even worse. In addition, these two bacteria were negatively correlated with the tumor weight and related with the altered SCFAs. In conclusion, GP-n is essential for the anti-melanoma effects of GP, and the potential mechanisms might be related with its specific regulation of Allobaculum and Bifidobacterium abundance, and tumor-associated SCFAs levels. The outcomes highlighted here enable a deeper insight into the structure-function relationship of GP and propose new opinions on its antitumor effect.

Azithromycin attenuates wheezing after pulmonary inflammation through inhibiting histone H3K27me3 hypermethylation mediated by EZH2

BACKGROUND

Histone methylation modification plays an irreplaceable role in the wheezing diseases. The aim of this study was to explore whether azithromycin (AZM) attenuates post-inflammatory wheezing through inhibiting hypermethylation of histone H3K27me3 mediated by EZH2.

RESULTS

A randomized controlled trial was conducted on 227 children who underwent fiber-optic bronchoscopy, and bronchoalveolar lavage fluid (BALF) was collected for analyses. The expressions of IL-6, IL-2, NF-κB P65, EZH2 and H3K27me3 in the BALF of wheezing cases were significantly increased when compared with levels in non-wheezing cases (P < 0.05), while IL-10 was decreased (P < 0.05). AZM attenuated the overexpression of NF-κB P65, EZH2 and H3K27me3 in wheezing cases (P < 0.05) and shortened the time of wheezing in wheezing cases (P < 0.05). An in vitro model of inflammation was established using rat alveolar macrophages induced by lipopolysaccharide (LPS). AZM, SN50 (a NK-κB inhibitor) and GSK126 (an EZH2 inhibitor) attenuated the overexpression of EZH2, NF-κB P65 and H3K27me3 induced by LPS in rat alveolar macrophages (P < 0.05). AZM, SN50 and GSK126 normalized the decreased expression of IL-10 induced by LPS in the same samples (P < 0.05). Co-immunoprecipitation results showed that H3K27me3 interacted with EZH2 and NF-κB P65, and immunofluorescence data showed that AZM and SN50 inhibited LPS-induced NF-κB P65 nuclear translocation in rat alveolar macrophages.

CONCLUSION

Histone H3K27me3 hypermethylation mediated by EZH2 may be involved in wheezing after pulmonary inflammation. AZM attenuated wheezing after pulmonary inflammation by inhibiting NF-κB P65-related hypermethylation of H3K27me3 mediated by EZH2.

Pyrolysis and oxidation of benzene and cyclopentadiene by NOx: A ReaxFF molecular dynamics study

Benzene (C6H6) and 1,3-cyclopentadiene (c-C5H6) are critical intermediate species in the combustion of fossil fuel and the formation of polycyclic aromatic hydrocarbons (PAHs). This study investigates the underlying mechanisms of...

Time-resolved fluorescence immunoassay (TRFIA) for the simultaneous detection of hs-CRP and lipoprotein(a) in serum

Elevated serum high-sensitivity C-reactive protein (hs-CRP) and lipoprotein(a) (Lp(a)) levels are associated with the development of native coronary atherosclerosis. We aimed to establish a new method for the simultaneous detection of hs-CRP and Lp(a) to predict the development of atherosclerosis. A one-step time-resolved fluorescence immunoassay (TRFIA) with europium(III) (Eu³⁺ ) or samarium(III) (Sm³⁺ ) labels was established, and the performance of this TRFIA (in terms of sensitivity, specificity, accuracy, and cutoff values) was evaluated using clinical serum samples and compared with those of registered kits. The sensitivity was 0.052 μg/ml for hs-CRP and 0.64 μg/ml for Lp(a). The intra-assay and inter-assay cross-reactivities (CVs) were very low, ranging from 2.05% to 4.67% for hs-CRP and from 2.42% to 6.43% for Lp(a). The CVs were very low (<0.34% and <2.65%, respectively) with five interferents. Additionally, there was a high Pearson coefficient between the present TRFIA method and the registered kits (R² = 0.9967 and 0.9906, respectively). These data indicate that this study developed a TRFIA method that can be used for the quantitative detection of hs-CRP and Lp(a) in serum with high sensitivity, specificity, and accuracy. This TRFIA provides a new method for predicting the development of atherosclerosis.

Co-existing polysaccharides affect the systemic exposure of major bioactive ingredients in Chang-Kang-Fang, a multi-herb prescription for treatment of irritable bowel syndrome

ETHNOPHARMACOLOGICAL RELEVANCE

Chang-Kang-Fang (CKF) is a traditional Chinese herbal formula used for treatment of irritable bowel syndrome (IBS) in China. Decoction is the administration form of CKF in clinical practice. Previously, CKF has been confirmed with activities of releasing pain and reversing disorders of intestinal propulsion. And alkaloids, monoglycosides, chromones were found as the main bioactive components potentially contributing to the efficacy of CKF. Polysaccharide was also a major constituent in CKF. But if and how polysaccharides influence the systemic exposure of bioactive components in CKF is unknown.

AIM OF THE STUDY

In this study, we aimed to demonstrate the contribution of the co-existed polysaccharides on the systemic exposure of the major bioactive components from CKF in normal and IBS model rats.

MATERIALS AND METHODS

An UPLC-TQ-MS with multiple reaction monitoring (MRM) scan method was developed and validated for quantifying six major small molecular bioactive ingredients of CKF in the plasma samples, including magnoflorine (MAG), berberine (BBR), albiflorin (ALB), paeoniflorin (PAE), 5-O-methylvisamminol (5-OM) and prim-O-glucosylcimifugin (POG). The rats received CKF decoction (CKF) and CKF small molecule portion (knockout of polysaccharides, CKFSM), respectively. IBS model rats were induced by daily bondage and gavage of Sennae Folium decoction (derived from the leaf of Cassia angustifolia Vahl). The effects of the co-existing polysaccharides on the pharmacokinetic parameters of six small molecular bioactive components in normal and IBS model rats were systematically evaluated. The potential gut microbiota involved mechanisms of the effects was validated by broad-spectrum antibiotic (ABX) treatment.

RESULTS

The selectivity, precision, accuracy, recovery and matrix effect of the established quantification method were all within acceptable limits of biological sample. In normal rats, the co-existing polysaccharides significantly reduced the AUC_(0-t) of MAG and PAE compared with CKFSM group. The C_max and AUC_(0-t) of other four compound were not influenced by co-existing polysaccharides. However, in IBS model rats, compared with CKFSM group, the C_max and AUC_(0-t) of the six ingredients significantly increased in CKF group. For CKF + ABX group, the C_max of six ingredients decreased significantly when compared with CKF group, and the AUC_(0-t) of MAG, BBR, ALB, PAE also reduced with significant differences.

CONCLUSIONS

A reliable and sensitive UPLC-TQ-MS method was successfully developed and validated for evaluating influence of co-existing polysaccharides on pharmacokinetic behavior of six major small molecules components in CKF. The co-existing polysaccharides enhanced the systemic exposure of six bioactive small molecules in CKF under IBS pathological state potentially via gut microbiota involvement.

Integrating Multi-Type Component Determination and Anti-Oxidant/-Inflammatory Assay to Evaluate the Impact of Pre-Molting Washing on the Quality and Bioactivity of Cicadae Periostracum

Cicadae Periostracum (CP) is a traditional Chinese medicinal herb derived from the slough that is molted from the nymph of the insect Cryptotympana pustulata Fabricius. Washing with water to remove residual silt is a primary processing method of CP that is recommended by the Chinese Pharmacopoeia, but how washing methods affect the quality and bioactivity of CP is unknown. In this study, the quality and bioactivity of non-washed CP (CP-NW), post-molting-washed CP (CP-WAT), and pre-molting-washed CP (CP-WBT) were comparatively investigated. The quality of these CP samples was evaluated in terms of the UPLC-QTOF-MS/MS-based chemical profiling and semi-quantification of 39 N-acetyldopamine oligomers (belonging to six chemical types), the HPLC-UV-based quantification of 17 amino acids, the ICP-MS-based quantification of four heavy metals, and the contents of ash; the bioactivities of the samples were compared regarding their anti-oxidant and anti-inflammatory activities. It was found that, compared with CP-NW, both CP-WBT and CP-WAT had significantly lower contents of ash and heavy metals. Moreover, compared with CP-WAT, CP-WBT contained lower levels of total ash, acid-insoluble ash, and heavy metals and higher contents of N-acetyldopamine oligomers and amino acids. It also had enhanced anti-oxidant and anti-inflammatory activities. A Spearman's correlation analysis found that the contents of N-acetyldopamine oligomers and free amino acids were positively correlated with the anti-oxidant/-inflammatory activities of CP. All these results suggest that pre-molting washing can not only remove the residual silt but can also avoid the loss of the bioactive components and assure higher bioactivities. It is concluded that pre-molting washing could enhance the quality and bioactivity of CP and should be a superior alternative method for the primary processing of qualified CP.

Oxidation and hydrogenation of monolayer MoS2 with compositing agent under environmental exposure: The ReaxFF Mo/Ti/Au/O/S/H force field development and applications

An atomistic modeling tool is essential to an in-depth understanding upon surface reactions of transition metal dichalcogenides (TMDs), such as molybdenum disulfide (MoS2), with the presence of compositing agents, including Ti and Au, under different environmental exposures. We report a new ReaxFF reactive force field parameter set for Mo, Ti, Au, O, S, and H interactions. We apply the force field in a series of molecular dynamics (MD) simulations to unravel the impact of the Ti dopant on the oxidation/hydrogenation behaviors of MoS2 surface. The simulation results reveal that, in the absence of Ti clusters, the MoS2 surface is ruptured and oxidized at elevated temperatures through a process of adsorption followed by dissociation of the O2 molecules on the MoS2 surface during the temperature ramp. When the MoS2 surface is exposed to H2O molecules, surface hydrogenation is most favored, followed by oxidation, then hydroxylation. The introduction of Ti clusters to the systems mitigates the oxidation/hydrogenation of MoS2 at a low or intermediate temperature by capturing the O2/H2O molecules and locking the O/H-related radicals inside the clusters. However, OH− and H3O+ are emitted from the Ti clusters in the H2O environment as temperature rises, and the accelerating hydrogenation of MoS2 is consequently observed at an ultra-high temperature. These findings indicate an important but complex role of Ti dopants in mitigating the oxidation and hydrogenation of MoS2 under different environmental exposures. The possible mechanisms of oxidation and hydrogenation revealed by MD simulations can give an insight to the design of oxidation resistant TMDs and can be useful to the optical, electronic, magnetic, catalytic, and energy harvesting industries.

Integrating Network Pharmacology and Experimental Verification to Investigate the Mechanisms of Shuangshi Tonglin Capsule to Treat Chronic Prostatitis

Background and Objective:

Chronic prostatitis (CP) is one of the most common diseases in young and middle-aged men but lacks effective treatment. Shuangshi Tonglin Capsule (SSTLC) is a clinical drug for the treatment of chronic prostatitis. However, the underlying molecular mechanisms of SSTLC in treating CP are still unclear. In this study, we researched the underlying mechanisms of SSTLC in treating chronic prostatitis.

Methods:

The ingredients of SSTLC were received from the TCMSP and BATMAN databases, the CP targets were collected based on GeneCards and OMIM. Then, the PPI network and the “drug-ingredient-target” network map was constructed. GO and KEGG enrichment analyses by using DAVID. Molecular docking was performed by using AutoDock 4.2 and PyMol. And, using animal experiment to verify the potential effect of SSTLC in CP.

Results:

SSTLC contained 10 herbs, 158 chemical ingredients and 277 targets, 2002 disease-related targets were obtained. Network analysis outcomes indicated that VEGFA, TNF, MAPK1, EGFR, and MAPK8 as the key targets of SSTLC in the treatment of chronic prostatitis. Furthermore, molecular docking revealed that quercetin, luteolin, and kaempferol exhibited a strong binding effect. Animal experimental indicated that SSTLC can reduce the pathological damage to prostate tissue. And, we found that high-dose SSTLC significantly reduced the level of TNF-α and downregulated the expression of EGFR, p-p38 and p-ERK1/2 (P<0.05).

Conclusions:

This study determined the pharmacological effects of SSTLC and potential mechanism of action on SSTLC treat CP, it provides a new idea for traditional Chinese medicinal to treat chronic prostatitis.

Review detection of Newcastle disease virus

Newcastle disease (ND) is an acute and highly contagious disease caused by the Newcastle disease virus (NDV) infecting poultry, which has caused great harm to the poultry industry around the world. Rapid diagnosis of NDV is important to early treatment and early institution of control measures. In this review, we comprehensively summarize the most recent research into NDV, including historical overview, molecular structure, and infection mechanism. We then focus on detection strategies for NDV, including virus isolation, serological assays (such as hemagglutination and hemagglutination-inhibition tests, enzyme linked immunosorbent assay, reporter virus neutralization test, Immunofluorescence assay, and Immune colloidal gold technique), molecular assays (such as reverse transcription polymerase chain reaction, real-time quantitative PCR, and loop-mediated isothermal amplification) and other assays. The performance of the different serological and molecular biology assays currently available was also analyzed. To conclude, we examine the limitations of currently available strategies for the detection of NDV to lay the groundwork for new detection assays.

Effects of sulfur-fumigated ginseng on the global quality of Si-Jun-Zi decoction, a traditional ginseng-containing multi-herb prescription, evaluated by metabolomics and glycomics strategies

Si-Jun-Zi decoction (SJZD) with ginseng as the principal medicinal herb is a traditional Chinese Medicine multi-herb prescription that commonly employed to treat colorectal cancer etc. Previous studies showed that nearly half of the commercial ginseng was sulfur-fumigated, one of the postharvest processing methods that commonly causes sulfur-dioxide (SO₂) residue and chemical composition transformation in medical herbs. In this study, the effect of sulfur-fumigated ginseng on global quality of SJZD was evaluated by UPLC-QTOF-MS/MS based metabolomics and multiple chromatographic techniques based glycomics strategies. For non-saccharides components, sulfur-fumigated ginseng led to the emergence of sulfur-containing derivatives and alteration of saponins and flavonoids in SJZD. For saccharide components, sulfur-fumigated ginseng decreased the total contents and molecular weights of polysaccharides, changed the monosaccharide composition of polysaccharides, and increased the contents of oligosaccharides and free monosaccharides of SJZD. The alterations of SJZD were aggravated with the sulfur-fumigated content of ginseng. Those phenomena might be attributed to 1) sulfur-fumigation caused the generation of sulfur-containing derivatives in ginseng, which further transferred to SJZD, and 2) sulfur-fumigation caused the residue of SO₂ in ginseng, which reduced the pH value and further changed the dissolution of saponins and flavonoids and accelerated the degradation of the polysaccharides to oligosaccharides and/or monosaccharides in SJZD. Furthermore, although storage reduced the SO₂ residue in sulfur-fumigated ginseng, it couldn't recover the alterations of chemical profiles in SJZD. In conclusion, sulfur-fumigated ginseng altered the global quality of SJZD, which promoted that extra attention must be paid during the application of herbal formulas that containing sulfur-fumigated herbs.

Gut Microbiota Mediates the Protective Effects of Traditional Chinese Medicine Formula Qiong-Yu-Gao against Cisplatin-Induced Acute Kidney Injury

Our previous study found that Qiong-Yu-Gao (QYG), a traditional Chinese medicine formula derived from Rehmanniae Radix, Poria, and Ginseng Radix, has protective effects against cisplatin-induced acute kidney injury (AKI), but the underlying mechanisms remain unknown. In the present study, the potential role of gut microbiota in the nephroprotective effects of QYG was investigated. We found that QYG treatment significantly attenuated cisplatin-induced AKI and gut dysbiosis, altered the levels of bacterial metabolites, with short-chain fatty acids (SCFAs) such as acetic acid and butyric acid increasing and uremic toxins such as indoxyl sulfate and p-cresyl sulfate reducing, and suppressed histone deacetylase expression and activity. Spearman's correlation analysis found that QYG-enriched fecal bacterial genera Akkermansia, Faecalibaculum, Bifidobacterium, and Lachnospiraceae_NK4A136_group were correlated with the altered metabolites, and these metabolites were also correlated with the biomarkers of AKI, as well as the indicators of fibrosis and inflammation. The essential role of gut microbiota was further verified by both the diminished protective effects with antibiotics-induced gut microbiota depletion and the transferable renal protection with fecal microbiota transplantation. All these results suggested that gut microbiota mediates the nephroprotective effects of QYG against cisplatin-induced AKI, potentially via increasing the production of SCFAs, thus suppressing histone deacetylase expression and activity, and reducing the accumulation of uremic toxins, thereby alleviating fibrosis, inflammation, and apoptosis in renal tissue. IMPORTANCE Cisplatin-induced acute kidney injury is the main limiting factor restricting cisplatin's clinical application. Accumulating evidence indicated the important role of gut microbiota in pathogenesis of acute kidney injury. In the present study, we have demonstrated that gut microbiota mediates the protective effects of traditional Chinese medicine formula Qiong-Yu-Gao against cisplatin-induced acute kidney injury. The outputs of this study would provide scientific basis for future clinical applications of QYG as prebiotics to treat cisplatin-induced acute kidney injury, and gut microbiota may be a promising therapeutic target for chemotherapy-induced nephrotoxicity.

Cost-effective carbon fiber precursor selections of polyacrylonitrile-derived blend polymers: carbonization chemistry and structural characterizations

Blending polyacrylonitrile (PAN) with plastic wastes and bio-based polymers provides a convenient and inexpensive method to realize cost-effective carbon fiber (CF) precursors. In this work, PAN-based blend precursors are investigated using ReaxFF reactive molecular dynamics simulations with respect to the formation of all-carbon rings, the evolutions of oxygen-containing and nitrogen-containing species, and the migration of carbon atoms to form turbostratic graphene. From these simulations, we identify that PAN/cellulose (CL) blend manifests the highest carbon yield and the most substantial all-carbon ring formation. This ReaxFF-based finding is confirmed by Raman and TEM experiments indicating high crystallinity for PAN/CL-derived blend CFs. We trace the pathway of gasification and carbonization of PAN/CL to elaborate the mechanism of the formation of all-carbon ring networks. We discover that the acetals of CL can catalyze the cyclization of the blend precursor, allowing for the search for CL derivatives or the other kinds of bio-based polymers with similar functionalities as alternative blends. In addition, we examine the structural characteristics using the carbon-carbon (C-C) radial distribution functions, C-C bond length distributions, and sp² C atom ratios for the four representative precursors, i.e., PAN, oxidized PAN, PAN/nylon 6,6, and PAN/CL. Our simulation results show the most extensive all-carbon ring cluster and graphitic structure growths for PAN/CL. Therefore, we propose PAN/CL as a cost-effective alternative CF precursor, since (a) CL is naturally abundant and eco-friendly for production, (b) the blend precursor PAN/CL does not require oxidation treatment, (c) PAN/CL has a high carbon yield with substantial all-carbon ring formation, and (d) PAN/CL based CFs potentially provide a mechanical property enhancement.

Multifunctional Electronic Skins Enable Robots to Safely and Dexterously Interact with Human

Human-robot collaboration is playing more and more important roles in current deployments of robotic systems in our lives. Haptic perception and intelligent control are essential to ensure safety and efficiency of human-robot interaction. However, existing robotic sensory and control systems are deficient in terms of performance issues, complexity, and cost. Here, the authors report a multifunctional electronic skin (e-skin) incorporating multiple perceptions with intelligent robotic control, by which robots can safely and dexterously interact with humans. The e-skin with a simple and cost-effective sensory structure has multimodal perceptions of proximity, temperature, contact force, and contact position with broad measuring range, high sensitivity, and fast response. The e-skin is applied onto robots to accomplish obstacle avoidance, safe and dexterous human-robot interaction, smart teaching, and playing Tai-Chi, which demonstrate a broad range of applications for intelligent robots equipped with e-skins.

Optimization and validation of direct gas chromatography-mass spectrometry method for simultaneous quantification of ten short-chain fatty acids in rat feces

Short-chain fatty acids (SCFAs) play key roles in maintaining health and treating disease. Quantification of important fecal SCFAs is necessary to facilitate the clarification of their biological roles. However, the existing quantifying methods mainly depend on complicated precolumn derivatization, and/or are unable to determine formic acid, a SCFA commonly associated with toxicity. In this study, a direct gas chromatography-mass spectrometry (GC-MS) method for simultaneous quantification of ten SCFAs including formic acid in rat feces was developed. The approach was optimized in terms of chromatographic and spectrometric conditions as well as sample preparation. DB-FFAP capillary column with temperature programming was used to get baseline separation and symmetrical peak shape of SCFAs without precolumn derivatization in a relatively short running time (8 min). Multiple reaction monitoring (MRM) scan mode was employed to enhance the sensitivity and selectivity of SCFAs. Acidification with 50% HCl and immediate extraction with diethyl ether were utilized to achieve sample preparation of ten SCFAs from feces. Furthermore, the developed method was validated with wide linear range, high sensitivity and precision, low matrix effect and acceptable accuracy. The established method was successfully applied to compare the contents of fecal SCFAs between normal and immunosuppressed animal models.

Heat shock protein A12A activates migration of hepatocellular carcinoma cells in a monocarboxylate transporter 4-dependent manner

Metastasis is responsible for most of the hepatocellular carcinoma (HCC)-associated death. However, its underlying mechanism has yet to be fully elucidated. Glycolysis-derived lactate has been shown to be a powerful regulator of cancer metastasis. Heat shock protein A12A (HSPA12A) encodes a novel member of HSP70 family. We have recently demonstrated that heat shock protein A12A (HSPA12A) inhibited renal cancer cell migration by suppressing lactate output and glycolytic activity, which were mediated by unstabilizing CD147 and promoting its degradation. By striking contrast, here we demonstrated that HSPA12A promoted migration of human HCC cells. Extracellular acidification, lactate export, and glycolytic activity in HCC cells were also promoted following HSPA12A overexpression. Further analysis revealed that HSPA12A interacted with MCT4 and increased its membrane localization, thereby promoting export of lactate generated from glycolysis; this led, ultimately, to HCC cell migration. Our results revealed the opposite effect of HSPA12A on migration of renal cancer cells and that of HCC cells. Of note, in contrast to the inhibitory effect on CD147 expression in renal cancer cells, we found that HSPA12A increased CD147 expression in HCC cells, indicating that the expression of CD147 might exist heterogeneity in different cancer cell types. Taken together, we identified HSPA12A as an activator of HCC migration, a role opposite to that of renal cancer cells. Inhibiting HSPA12A might be a potential therapeutic intervention for HCC metastasis.

EGCG prevents pressure overload‑induced myocardial remodeling by downregulating overexpression of HDAC5 in mice

Myocardial remodeling is a complex pathological process and its mechanism is unclear. The present study investigated whether epigallocatechin gallate (EGCG) prevents myocardial remodeling by regulating histone acetylation and explored the mechanisms underlying this effect in the heart of a mouse model of transverse aortic constriction (TAC). A TAC mouse model was created by partial thoracic aortic banding (TAB). Subsequently, TAC mice were injected with EGCG at a dose of 50 mg/kg/day for 12 weeks. The hearts of mice were collected for analysis 4, 8 and 12 weeks after TAC. Histopathological changes in the heart were observed by hematoxylin and eosin, Masson trichrome and wheat germ agglutinin staining. Protein expression levels were investigated using western blotting. Cardiac function of mice was detected by echocardiography. The level of histone acetylated lysine 27 on histone H3 (H3K27ac) first increased and then decreased in the hearts of mice at 4, 8 and 12 weeks after TAC. The expression levels of two genes associated with pathological myocardial remodeling, atrial natriuretic peptide (ANP) and brain natriuretic peptide (BNP), also increased initially but then decreased. The expression levels of histone deacetylase 5 (HDAC5) gradually increased in the hearts of mice at 4, 8 and 12 weeks after TAC. Furthermore, EGCG increased acetylation of H3K27ac by inhibiting HDAC5 in the heart of TAC mice treated with EGCG for 12 weeks. EGCG normalized the transcriptional activity of heart nuclear transcription factor myocyte enhancer factor 2A in TAC mice treated for 12 weeks. The low expression levels of myocardial remodeling‑associated genes (ANP and BNP) were reversed by EGCG treatment for 12 weeks in TAC mice. In addition, EGCG reversed cardiac enlargement and improved cardiac function and survival in TAC mice when treated with EGCG for 12 weeks. Modification of the HDAC5‑mediated imbalance in histone H3K27ac served a key role in pathological myocardial remodeling. The present results show that EGCG prevented and delayed myocardial remodeling in TAC mice by inhibiting HDAC5.

Cross-platform transcriptomic profiling of the response to recombinant human erythropoietin

RNA-seq has matured and become an important tool for studying RNA biology. Here we compared two RNA-seq (MGI DNBSEQ and Illumina NextSeq 500) and two microarray platforms (GeneChip Human Transcriptome Array 2.0 and Illumina Expression BeadChip) in healthy individuals administered recombinant human erythropoietin for transcriptome-wide quantification of differential gene expression. The results show that total RNA DNB-seq generated a multitude of target genes compared to other platforms. Pathway enrichment analyses revealed genes correlate to not only erythropoiesis and oxygen transport but also a wide range of other functions, such as tissue protection and immune regulation. This study provides a knowledge base of genes relevant to EPO biology through cross-platform comparisons and validation.

Efficacy and safety of transcatheter arterial chemoembolization combined with ginsenosides in hepatocellular carcinoma treatment

BACKGROUND

Transcatheter arterial chemoembolization (TACE) is a standard therapy to treat hepatocellular carcinoma (HCC), but often limited for its complications. Ginsenosides, including total ginsenosides (GS), Rg3, Rh2 and CK, have been clinically used as adjuvants of TACE in HCC therapy. However, partial clinical observations concerning the efficacy and safety of the combinational treatment were contradictory.

PURPOSE

To investigate the efficacy and safety of TACE and ginsenosides combination for HCC therapy.

METHODS

Randomized controlled trials (RCTs) regarding TACE and ginsenosides for HCC up to May 2021 were screened from six databases (PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, Chinese VIP Information and Web of Science). The outcomes of tumor response, adverse reactions (ADRs), quality of life (QOL), survival rates (OS) and liver function were extracted and evaluated by meta-analysis, respectively.

RESULTS

A total of 18 RCTs with 1308 HCC patients were enrolled, and most of the eligible studies had unclear bias risk. Compared with TACE, combining ginsenosides improved objective response rate [ORR, risk ratio (RR) 1.39, 95% confidence intervals (CI) 1.20∼1.61], disease control rate (DCR, RR 1.21, 95% CI 1.12∼1.30), QOL (RR 1.54, 95% CI 1.25∼1.90), one- (RR 1.37, 95% CI 1.16∼1.62) and two- (RR 1.43, 95% CI 1.06∼1.95) year OS, and A level of Child-pugh, as well as reduced the risks of nausea and vomiting, pyrexia, ache, hyperbilirubinemia, anorexia, fatigue, leukopenia, thrombocytopenia and myelosuppression. Subgroup analyses showed that both short- and long- treatment durations of ginsenosides enhanced the A level of Child-pugh, and reduced nausea and vomiting, ache and hyperbilirubinemia. Besides, combining Rg3 benefited DCR, ORR and QOL, and alleviated nausea and vomiting, hyperbilirubinemia, leukopenia, myelosuppression, thrombocytopenia and α-fetoprotein, while combining GS alleviated nausea and vomiting, ache and hyperbilirubinemia, combining Rh2 alleviated thrombocytopenia, and combining CK alleviated nausea and vomiting, pyrexia, ache and leukopenia, respectively.

CONCLUSION

The results suggested that combining ginsenosides could continuously benefit the efficacy and safety of TACE in HCC treatment, and Rg3 is the prior selection during the combination.

Time-resolved Fluorescence Immunoassay (TRFIA) for the Simultaneous Detection of MMP-9 and Lp-PLA2 in Serum

Currently, atherosclerosis accounts for the majority of cardiovascular morbidity and mortality worldwide, and predicting the stability of atherosclerotic plaque is the main method to prevent atherosclerotic death. This study aims to establish a dual-label time-resolved fluorescence immunoassay (TRFIA) of matrix metalloprotein-9 (MMP-9) and lipoprotein-associated phospholipaseA2 (Lp-PLA2) to predict atherosclerotic plaque stability. A dual-label TRFIA was introduced for the simultaneous quantification of MMP-9 and Lp-PLA2 using fluorescent lanthanide (Eu³⁺ and Sm³⁺) chelates. The performance (sensitivity, specificity, accuracy, precision and reference intervals in different subjects) of this TRFIA was evaluated and compared with commercial kit. The sensitivity of the TRFIA for MMP-9 was 0.85 ng/mL and for Lp-PLA2 was 0.68 ng/mL with high affinity and specificity. The average recoveries were 94.58% to 109.82%, and 104.32% to 109.26%, respectively. All intra- and inter-assay CVs ranged from 3.10% to 5.46%. For the normal subjects, the cutoff value was 160.70 ng/mL for MMP-9 and 183.73 ng/mL for LP-PLA2; for the subjects with stable plaque, the cutoff value was 181.98~309.22 ng/mL for MMP-9 and 194.73~337.89 ng/mL for LP-PLA2; for the subjects with unstable plaque, the cutoff value was 330.43 ng/mL for MMP-9 and 343.23 ng/mL for LP-PLA2. This TRFIA detection results agreed well with the results of commercial kit (R²=0.9567 and R²=0.9771, respectively) in clinical serum samples. The TRFIA developed has a wide detection range and good sensitivity for the high-throughput simultaneous detection of MMP-9 and Lp-PLA2 in serum, which provides a new method for predicting the stability of atherosclerotic plaque.

Review of machine learning methods for RNA secondary structure prediction

Secondary structure plays an important role in determining the function of noncoding RNAs. Hence, identifying RNA secondary structures is of great value to research. Computational prediction is a mainstream approach for predicting RNA secondary structure. Unfortunately, even though new methods have been proposed over the past 40 years, the performance of computational prediction methods has stagnated in the last decade. Recently, with the increasing availability of RNA structure data, new methods based on machine learning (ML) technologies, especially deep learning, have alleviated the issue. In this review, we provide a comprehensive overview of RNA secondary structure prediction methods based on ML technologies and a tabularized summary of the most important methods in this field. The current pending challenges in the field of RNA secondary structure prediction and future trends are also discussed.

Treadmill exercise overcomes memory deficits related to synaptic plasticity through modulating ionic glutamate receptors

Neuronal death and synaptic loss are major pathogensis of Alzheimer's disease (AD), which may be related to the ionic glutamate receptors abnormality. Ionic glutamate receptors are important postsynaptic membrane receptors that regulate excitatory synaptic transmission and are also major component of the postsynaptic density. Beta-Amyloid (Aβ) attacks ionic glutamate receptors to reduce synaptic efficacy and synaptic plasticity, resulting in neuronal death and synaptic loss. The current study aimed to investigate whether exercise-ameliorated AD was associated with changes in ionic glutamate receptors. Transgenic APP/PS1 mice (TgAPP/PS1) and age-matched littermate wild mice were divided into wild type control group, wild type exercise group, transgenic control group and transgenic exercise group. The mice in exercise groups were subjected to treadmill training for 12 weeks. The results showed that 12-week treadmill exercise improved the spatial learning and memory abilities of TgAPP/PS1 mice. Moreover, exercise decreased the contents of Aβ40, Aβ42 and amyloid plaque deposition in hippocampus of TgAPP/PS1 mice. The number of synapses and the length and thickness of postsynaptic densities (PSD) in the hippocampal CA1 region of TgAPP/PS1 mice were significantly increased after exercise. Concomitantly, TgAPP/PS1 displayed obstacles in synaptic plasticity as evidenced by significant decreases in the levels of synaptic structural plasticity-related proteins SYN, PSD95, MAP2 and NCAM, as well as ionic glutamate neuroreceptor subunit proteins GluN2B and GluA1. Interestingly, exercise alleviated these synaptic plasticity disorder in TgAPP/PS1 mice. Thus, this study demonstrates that 12-week treadmill exercise reduces Aβ levels in the hippocampus and mitigates cognitive decline in TgAPP/PS1 mice, which may be mediated by improvements in synaptic structural plasticity and excitatory neurotransmission.

Interactions between the ERK1/2 signaling pathway and PCAF play a key role in PE‑induced cardiomyocyte hypertrophy

Cardiomyocyte hypertrophy is a compensatory phase of chronic heart failure that is induced by the activation of multiple signaling pathways. The extracellular signal-regulated protein kinase (ERK) signaling pathway is an important regulator of cardiomyocyte hypertrophy. In our previous study, it was demonstrated that phenylephrine (PE)-induced cardiomyocyte hypertrophy involves the hyperacetylation of histone H3K9ac by P300/CBP-associated factor (PCAF). However, the upstream signaling pathway has yet to be fully identified. In the present study, the role of the extracellular signal-regulated protein kinase (ERK)1/2 signaling pathway in PE-induced cardiomyocyte hypertrophy was investigated. The mice cardiomyocyte hypertrophy model was successfully established by treating cells with PE in vitro. The results showed that phospho-(p-)ERK1/2 interacted with PCAF and modified the pattern of histone H3K9ac acetylation. An ERK inhibitor (U0126) and/or a histone acetylase inhibitor (anacardic acid; AA) attenuated the overexpression of phospho-ERK1/2 and H3K9ac hyperacetylation by inhibiting the expression of PCAF in PE-induced cardiomyocyte hypertrophy. Moreover, U0126 and/or AA could attenuate the overexpression of several biomarker genes related to cardiac hypertrophy (myocyte enhancer factor 2C, atrial natriuretic peptide, brain natriuretic peptide and β-myosin heavy chain) and prevented cardiomyocyte hypertrophy. These results revealed a novel mechanism in that AA protects against PE-induced cardiomyocyte hypertrophy in mice via the ERK1/2 signaling pathway, and by modifying the acetylation of H3K9ac. These findings may assist in the development of novel methods for preventing and treating hypertrophic cardiomyopathy.

Integrating multiple-chromatographic approaches to evaluate chemical consistency of Chang-Kang-Fang preparations from mixed-herb decoction and combined single-herb decoction

Chang-Kang-Fang formula (CKF), a multi-herbs traditional Chinese medicine (TCM) prescription for treating irritable bowel syndrome (IBS), has been clinically applied in the traditional form of mixed-herb decoction (MHD), or in the modern form of combined single-herb decoction (cSHD, so called dispensing granule decoction) in the near decades, but the chemical consistency between the MHD and cSHD is still unknown. Herein, a new strategy by integrating multiple-chromatographic approaches to characterize both polysaccharides and small molecules was developed to compare the chemical consistency between MHD and cSHD. Sixteen small molecules were simultaneously qualified and quantified by UPLC-QTOF-MS/MS, the molecular weight distribution of polysaccharides was characterized by HPGPC-ELSD, while the monosaccharide composition and total saccharides content were determined by HPLC-PDA and UV-VIS, respectively. It was found that the molecular weight range and monosaccharide composition of polysaccharides, as well as the composition of small molecules, were identical between MHD and cSHD. However, the contents of berberine, epiberberine, coptisine, palmatine, albiflorin and paeoniflorin in MHD were significantly lower than those in cSHD, whereas the content of polysaccharides in MHD was higher than that in cSHD, indicating that there is a significant difference in the quality between MHD and cSHD, in particular for the relative contents of major small molecules and polysaccharides. Whether or not these quality variations affect the efficacy and safety of CKF deserves further investigation.