SERS Detection of Trace Carcinogenic Aromatic Amines Based on Amorphous MoO3 Monolayers.

Aromatic amines are important commercial chemicals, but their carcinogenicity poses a threat to humans and other organisms, making their rapid quantitative detection increasingly urgent. Here, amorphous MoO3 (a-MoO3) monolayers with localized surface plasmon resonance (LSPR) effect in the visible region are designed for the trace detection of carcinogenic aromatic amine molecules. The hot-electron fast decay component of a-MoO3 decreases from 301 fs to 150 fs after absorption with methyl orange (MO) molecules, indicating the plasmon-induced hot-electron transfer (PIHET) process from a-MoO3 to MO. Therefore, a-MoO3 monolayers present high SERS performance due to the synergistic effect of electromagnetic enhancement (EM) and PIHET, proposing the EM-PIHET synergistic mechanism in a-MoO3. In addition, a-MoO3 possesses higher electron delocalization and electronic state density than crystal MoO3 (c-MoO3), which is conducive to the PIHET. The limit of detection (LOD) for o-aminoazotoluene (o-AAT) is 10-9 M with good uniformity, acid resistance, and thermal stability. In this work, trace detection and identification of various carcinogenic aromatic amines based on a-MoO3 monolayers is realized, which is of great significance for reducing cancer infection rates.

Nitrogen migration and transformation during re-suspension and photo-induction in landscape water replenished by reclaimed water.

Sediment re-suspension plays a crucial role in releasing endogenous nitrogen and greenhouse gases in shallow urban waters. However, the impacts of repeated re-suspension and photo-induced processes on migration and transformation from endogenous nitrogen, as well as the emission of greenhouse gases, remain unclear. This study simulated three conditions: re-suspension (Rs), re-suspension combined with ultravioletirradiation (Rs + UV), and ultraviolet irradiation (UV). The findings revealed that both repeated sediment re-suspension and exposure to UV light altered the characteristics of surface sediments. Decrease of convertible nitrogen in sediments, leading to the release of ion-exchangeable nitrogen (IEF-N) into NH4+-N and NO3--N, influenced greenhouse gas production differently under various conditions. The study observed the highest concentration of dissolved N2O in under UV irradiation, positively correlated with NO2--N and NO3--N. Re-suspension increased the turbidity of the overlying water and accelerated nitrification, resulting in the highest NO3--N concentration and the lowest dissolved N2O concentration. Additionally, in the Rs + UV dissolved N2O maintained the higher concentrations than in Rs, with greatest amount of N conversion in surface sediments, and a 59.45% reduction in IEF-N. The production of N2O during re-suspension was mainly positively correlated with NH4+-N in the overlying water. Therefore, this study suggest that repeated re-suspension and light exposure significantly influence nitrogen migration and transformation processes in sediment, providing a theoretical explanation for the eutrophication of water and greenhouse gas emissions.

Improving water quality and mitigating CH4 and N2O production in urban landscape water simultaneously by optimizing calcium peroxide dosage.

Recent studies show that greenhouse gas (GHG) emissions from urban landscape water are significant and cannot be overlooked, underscoring the need to develop effective strategies for mitigating GHG production from global freshwater systems. Calcium peroxide (CaO2) is commonly used as an eco-friendly reagent for controlling eutrophication in water bodies, but whether CaO2 can reduce GHG emissions remains unclear. This study investigated the effects of CaO2 dosage on the production of methane (CH4) and nitrous oxide (N2O) in urban landscape water under anoxic conditions during summer. The findings reveal that CaO2 addition not only improved the physicochemical and organoleptic properties of simulated urban landscape water but also reduced N2O production by inhibiting the activity of denitrifying bacteria across various dosages. Moreover, CaO2 exhibited selective effects on methanogens. Specifically, the abundance of acetoclastic methanogen Methanosaeta and methylotrophic methanogen Candidatus_Methanofastidiosum increased whereas the abundance of the hydrogenotrophic methanogen Methanoregula decreased at low, medium, and high dosages, leading to higher CH4 production at increased CaO2 dosage. A comprehensive multi-objective evaluation indicated that an optimal dosage of 60 g CaO2/m2 achieved 41.21 % and 84.40 % reductions in CH4 and N2O production, respectively, over a 50-day period compared to the control. This paper not only introduces a novel approach for controlling the production of GHGs, such as CH4 and N2O, from urban landscape water but also suggests a methodology for optimizing CaO2 dosage, providing valuable insights for its practical application.

Tertiary treatment of municipal wastewater in an IBFR dominated by PD/A with unique niche.

To explore the feasibility of biofilter reactor to treat municipal secondary effluent deeply without extra carbon source, this paper proposed an integrated biofilter reactor (IBFR) coupling partial denitrification (PD) with anammox (A) to treat the secondary effluent and raw sewage with the flow ratio of 3:1 together. The results show that the effluent concentration of TN and COD in IBFR could be reduced to 10 mg/L and 15 mg/L, respectively, under hydraulic retention time of 1.5 h and nitrogen loading rate of 0.55 kg/(m3·d). The highest specific anammox activity (19.2 mg N/(g TVS·d)) and the maximum extracellular polymeric substance (EPS) content (107.21 mg/g TVS) occurred at the 25-50 cm section of IBFR, where Thauera, Candidatus Anammoximicrobium and Candidatus Brocadia were the dominant denitrifiers and anammox bacteria. Furthermore, the cyclic self-stratification occurred along the reactor height, where the utilization, decomposition, transformation and cross-feeding of EPS enhanced the performance stability of nitrogen and carbon removal, strengthened the niche structure and promoted the synergistic symbiosis. In conclusion, IBFR coupling PD and A demonstrated the possibility to treat secondary effluent without additional carbon sources, which is expected as an alternative approach for tertiary treatment of municipal wastewater.

Reliable Delineation of Clinical Target Volumes for Cervical Cancer Radiotherapy on CT/MR Dual-Modality Images.

Accurate delineation of the clinical target volume (CTV) is a crucial prerequisite for safe and effective radiotherapy characterized. This study addresses the integration of magnetic resonance (MR) images to aid in target delineation on computed tomography (CT) images. However, obtaining MR images directly can be challenging. Therefore, we employ AI-based image generation techniques to "intelligentially generate" MR images from CT images to improve CTV delineation based on CT images. To generate high-quality MR images, we propose an attention-guided single-loop image generation model. The model can yield higher-quality images by introducing an attention mechanism in feature extraction and enhancing the loss function. Based on the generated MR images, we propose a CTV segmentation model fusing multi-scale features through image fusion and a hollow space pyramid module to enhance segmentation accuracy. The image generation model used in this study improves the peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) from 14.87 and 0.58 to 16.72 and 0.67, respectively, and improves the feature distribution distance and learning-perception image similarity from 180.86 and 0.28 to 110.98 and 0.22, achieving higher quality image generation. The proposed segmentation method demonstrates high accuracy, compared with the FCN method, the intersection over union ratio and the Dice coefficient are improved from 0.8360 and 0.8998 to 0.9043 and 0.9473, respectively. Hausdorff distance and mean surface distance decreased from 5.5573 mm and 2.3269 mm to 4.7204 mm and 0.9397 mm, respectively, achieving clinically acceptable segmentation accuracy. Our method might reduce physicians' manual workload and accelerate the diagnosis and treatment process while decreasing inter-observer variability in identifying anatomical structures.

Systematic analysis of the codon usage patterns of African swine fever virus genome coding sequences reveals its host adaptation phenotype.

African swine fever (ASF) is a severe haemorrhagic disease caused by the African swine fever virus (ASFV), transmitted by ticks, resulting in high mortality among domestic pigs and wild boars. The global spread of ASFV poses significant economic threats to the swine industry. This study employs diverse analytical methods to explore ASFV's evolution and host adaptation, focusing on codon usage patterns and associated factors. Utilizing phylogenetic analysis methods including neighbour-joining and maximum-likelihood, 64 ASFV strains were categorized into four clades. Codon usage bias (CUB) is modest in ASFV coding sequences. This research identifies multiple factors - such as nucleotide composition, mutational pressures, natural selection and geographical diversity - contributing to the formation of CUB in ASFV. Analysis of relative synonymous codon usage reveals CUB variations within clades and among ASFVs and their hosts. Both Codon Adaptation Index and Similarity Index analyses confirm that ASFV strains are highly adapted to soft ticks (Ornithodoros moubata) but less so to domestic pigs, which could be a result of the long-term co-evolution of ASFV with ticks. This study sheds light on the factors influencing ASFV's codon usage and fitness dynamics, enriching our understanding of its evolution, adaptation and host interactions.

Two somatic mutations in the androgen receptor N-terminal domain are oncogenic drivers in hepatocellular carcinoma.

The androgen receptor (AR) plays an important role in male-dominant hepatocellular carcinoma, and specific acquired somatic mutations of AR have been observed in HCC patients. Our previous research have established the role of AR wild type as one of the key oncogenes in hepatocarcinogenesis. However, the role of hepatic acquired somatic mutations of AR remains unknown. In this study, we identify two crucial acquired somatic mutations, Q62L and E81Q, situated close to the N-terminal activation function domain-1 of AR. These mutations lead to constitutive activation of AR, both independently and synergistically with androgens, making them potent driver oncogene mutations. Mechanistically, these N-terminal AR somatic mutations enhance de novo lipogenesis by activating sterol regulatory element-binding protein-1 and promote glycogen accumulation through glycogen phosphorylase, brain form, thereby disrupting the AMPK pathway and contributing to tumorigenesis. Moreover, the AR mutations show sensitivity to the AMPK activator A769662. Overall, this study establishes the role of these N- terminal hepatic mutations of AR as highly malignant oncogenic drivers in hepatocarcinogenesis and highlights their potential as therapeutic targets for patients harboring these somatic mutations.

Bone marrow sparing oriented multi-model image registration in cervical cancer radiotherapy.

Cervical cancer poses a serious threat to the health of women and radiotherapy is one of the primary treatment methods for this condition. However, this treatment is associated with a high risk of causing acute hematologic toxicity. Delineating the bone marrow (BM) for sparing based on computer tomography (CT) images before radiotherapy can effectively avoid this risk. Unfortunately, compared to magnetic resonance (MR) images, CT images lack the ability to express the activity of BM. Therefore, medical practitioners currently manually delineate the BM on CT images by corresponding to MR images. However, the manual delineation of BM is time-consuming and cannot guarantee accuracy due to the inconsistency of the CT-MR multimodal images. This study proposes a multimodal image-oriented automatic registration method for pelvic BM sparing. The proposed method includes three-dimensional (3D) bone point clouds reconstruction and an iterative closest point registration based on a local spherical system for marking BM on CT images. By introducing a joint coordinate system that combines the global Cartesian coordinate system with the local point clouds' spherical coordinate system, the increasement of point descriptive dimension avoids the local optimal registration and improves the registration accuracy. Experiments on the dataset of patients demonstrate that our proposed method can enhance the multimodal image registration accuracy and efficiency for medical practitioners in BM-sparing of cervical cancer radiotherapy. The method proposed in this contribution might also provide a solution to multimodal registration, especially in multimodal sequential images in other clinical applications, such as the diagnosis of cervical cancer and the preservation of normal organs during radiotherapy.

Ag-Coated Ternary Layered Double Hydroxide as a High-Performance SERS Sensor for Aldehydes.

Volatile organic compounds (VOCs) are common environmental pollutants and important biomarkers for early diagnosis of lung cancer. However, aldehydes are difficult to detect directly due to their small Raman scattering cross-section and gaseous phase. Here, a Ag-coated ternary layered double hydroxide (LDH) was designed for the detection and identification of various aldehydes. The specific surface area of CoNi-LDH was increased by doping Fe3+, which provides abundant active sites to capture gas molecules. Furthermore, the energy band gap (Eg) was decreased due to the local amorphous FeCoNi-LDH with an extended band tail, promoting the excitonic transition of Fe0.07(CoNi)0.93-LDH. In addition, the Fermi level of Ag prevented the recombination of electron-hole pairs of Fe0.07(CoNi)0.93-LDH, providing a new bridge for charge transfer between the substrate and the molecule. Ag/Fe0.07(CoNi)0.93-LDH presented excellent surface-enhanced Raman scattering (SERS) performance for aldehyde VOCs by modification with 4-aminothiophenol (4-ATP) to capture aldehydes and realized the detection of benzaldehyde (BZA) at 10 ppb. The enhancement and Raman shift of the b2 mode indicated the contribution of chemical enhancement to the SERS system, so the substrate presented good uniformity. The recycling of the SERS substrate is realized based on the reversibility of the Schiff base reaction. These results manifested that Ag/FeCoNi-LDH has a wide prospect in the application in the trace detection of aldehydes.

Implementation of a graph-embedded topic model for analysis of population-level electronic health records.

To address the need for systematic investigation of the phenome enabled by ever-growing genotype and phenotype data, we describe our step-by-step software implementation of a graph-embedded topic model, including data preprocessing, graph learning, topic inference, and phenotype prediction. As a demonstration, we use simulated data that mimic the UK Biobank data as in our original study. We will demonstrate topic analysis to discover disease comorbidities and computational phenotyping via the inferred topic mixture for each subject. For complete details on the use and execution of this protocol, please refer to Wang et al. (2022).1.

Self-defining memories and past academic stress in Chinese and American college students: a replication and extension of Wang and Singer (2021).

The current study replicated Wang and Singer's ([2021]. A cross-cultural study of self-defining memories in Chinese and American college students. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.622527) finding that Chinese college students from the People's Republic of China (PRC) recalled more self-defining memories (SDMs) focused on high school academic stress than their American counterparts. Seventy-eight American students from a private 4-year liberal arts college and 96 Chinese students from 13 different Chinese universities recalled two SDMs and rated them for affect, recall frequency, and importance. Once again, Chinese college students were more likely than American students to recall academic stress SDMs, but also expressed more redemptive themes in these memories. Overall, Chinese students rated their SDMs as more positive than the Americans, while the American sample tended to recall their negative memories more frequently. Contrasting the SDMs, American students self-reported higher levels of stress about their high school workload and less academic self-confidence. Regressions linked more negative affect in American SDMs to these work load and self-confidence concerns. Chinese students' SDM negative affect was most strongly predicted by perceived academic stress linked to parental and teachers' expectations. The discussion highlights the potential influence of Confucian values in the Chinese students' responses to past academic stress and their internalisation of academic stress memories in their narrative identity.

The Porcine Cyclic GMP-AMP Synthase-STING Pathway Exerts an Unusual Antiviral Function Independent of Interferon and Autophagy.

The innate immune DNA-sensing cyclic GMP-AMP synthase (cGAS)-stimulator of interferon (IFN) gene (STING) pathway exerts strong antiviral activity through downstream IFN production; however, it has been recently recognized that an IFN-independent activity of STING also plays an important role in antiviral functions. Nevertheless, the IFN-independent antiviral activity of STING is not fully understood. Here, we showed that porcine STING (pSTING) played a critical role against herpes simplex virus 1 (HSV-1) and vesicular stomatitis virus (VSV) infections, and IFN-defective mutants, including pSTING pLxIS sub, S365A, and △CTT, all exhibited similar antiviral functions, compared to wild-type (WT) pSTING. Furthermore, all of these IFN-defective pSTING mutants possessed comparable autophagy activity, relative to WT pSTING, as expected. From pSTING WT, S365A, and △CTT, the residues responsible for autophagy, including L333A/R334A, Y167A/L170A, and Y245A/L248A, were mutated. Surprisingly, all of these autophagy-defective pSTING mutants still resisted the two viral infections, demonstrating that the pSTING antiviral function is independent of IFN as well as autophagy. On the other hand, all of the autophagy-defective pSTING mutants triggered cell apoptosis, which was associated with and participated in the antiviral functions. Additionally, pSTING lost its antiviral activity in TANK-binding kinase 1 (TBK1)-/- and IFN regulatory factor 3 (IRF3)-/- porcine macrophages, indicating the involvement of TBK1 and IRF3 in other STING activities such as apoptosis. Collectively, our results revealed that STING exerts both IFN- and autophagy-independent antiviral activity, and they also suggested that STING-triggered cell apoptosis resists viral infections. IMPORTANCE The IFN-independent antiviral function of the cGAS-STING pathway has attracted great attention in recent years; however, the nature of this IFN-independent antiviral function is unknown, although STING-induced autophagy has been shown to mediate the STING antiviral activity. First, we analyzed the antiviral activity through the porcine cGAS-pSTING pathway and established that pSTING signaling exerts an IFN-independent antiviral function. Second, we found that pSTING-induced IFN-independent autophagy and the antiviral activity of pSTING are independent of both IFN and autophagy. Finally, pSTING signaling activates cell apoptosis independently of IFN and autophagy, and the apoptosis is associated with antiviral activity. Our results suggest that pSTING-activated apoptosis at least partially mediates the antiviral activity or multiple pSTING-activated signals, including IFN production, nuclear factor κ light chain enhancer of activated B cells (NF-κB) expression, autophagy, and apoptosis, exert a redundant antiviral role. Thus, the work reveals a new layer of complexity in STING antiviral activity.

CD163-Expressing Porcine Macrophages Support NADC30-like and NADC34-like PRRSV Infections.

Porcine reproductive and respiratory syndrome virus (PRRSV) has a strict cell tropism. In addition to the primary alveolar macrophages, PRRSV is strictly cytotropic to African green monkey kidney cells, such as MARC-145 cells; however, MARC-145 cells are not infected by most NADC30-like and NADC34-like PRRSV strains. The essential scavenger receptor CD163 has been proved to mediate productive infection of PRRSV in various non-permissive cell lines. In this study, we systematically tested the porcine CD163 stably expressing 3D4/21 cells for infections with various PRRSV strains. The results showed that the porcine CD163-expressing macrophages support the infections of PRRSV2 of lineages 1, 5, and 8, as evidenced by Western blotting, immunofluorescence assay, quantitative PCR, and virus titration assay. Considering the current prevalence of NADC30-like and NADC34-like PRRSV2 of lineage 1 in China, the CD163-expressing macrophages are very useful for PRRSV research and disease management.

The Porcine and Chicken Innate DNA Sensing cGAS-STING-IRF Signaling Axes Exhibit Differential Species Specificity.

The innate immune DNA sensing cyclic GMP-AMP synthase (cGAS)-stimulator of IFN genes (STING) signaling pathway plays a key role in host antiviral function. Although the cGAS-STING pathway has been extensively studied, the cGAS-STING signaling in livestock and poultry is not well understood, and whether the species specificity exists is still unknown. In this study, we found that porcine and chicken STING, but not cGAS, exhibit species differences in regulation of IFN; that is, porcine (p)STING mediates good induction of IFN in mammalian cells and low IFN induction in chicken DF-1 cells; on the contrary, chicken (ch)STING mediates IFN induction only in chicken cells but not in mammalian cells. Furthermore, it was found that the motifs pLxIS of pSTING and pLxVS of chSTING are responsible for the species disparity, with the IFN activity of pSTING and chSTING exchanged by swapping the two pLxI/VS motifs. The pLxI/VS motifs mediated the interactions of various STING with downstream IFN regulatory factors (IRFs), reflecting the species-specific pIRF3 and chIRF7. Next, the STING, IRFs, and STING-IRFs were reconstituted in porcine and chicken macrophages that were genetically knocked out for STING and/or IRFs by the CRISPR-Cas9 approach. The results showed that pSTING plus pIRF3 or chIRF7 are able to induce IFN; however, chSTING plus chIRF7 but not pIRF3 are able to induce IFN, suggesting that pIRF3 is specific and stringent, which underlies the inability of chSTING to induce IFN in mammalian cells. In summary, our findings reveal the differential species specificity in the cGAS-STING pathway and the underlying mechanisms, thus providing valuable insights on the cGAS-STING-IRF signaling axis for comparative immunology.

A graph-embedded topic model enables characterization of diverse pain phenotypes among UK biobank individuals.

Large biobank repositories of clinical conditions and medications data open opportunities to investigate the phenotypic disease network. We present a graph embedded topic model (GETM). We integrate existing biomedical knowledge graph information in the form of pre-trained graph embedding into the embedded topic model. Via a variational autoencoder framework, we infer patient phenotypic mixture by modeling multi-modal discrete patient medical records. We applied GETM to UK Biobank (UKB) self-reported clinical phenotype data, which contains 443 self-reported medical conditions and 802 medications for 457,461 individuals. Compared to existing methods, GETM demonstrates good imputation performance. With a more focused application on characterizing pain phenotypes, we observe that GETM-inferred phenotypes not only accurately predict the status of chronic musculoskeletal (CMK) pain but also reveal known pain-related topics. Intriguingly, medications and conditions in the cardiovascular category are enriched among the most predictive topics of chronic pain.

Inferring multimodal latent topics from electronic health records.

Electronic health records (EHR) are rich heterogeneous collections of patient health information, whose broad adoption provides clinicians and researchers unprecedented opportunities for health informatics, disease-risk prediction, actionable clinical recommendations, and precision medicine. However, EHRs present several modeling challenges, including highly sparse data matrices, noisy irregular clinical notes, arbitrary biases in billing code assignment, diagnosis-driven lab tests, and heterogeneous data types. To address these challenges, we present MixEHR, a multi-view Bayesian topic model. We demonstrate MixEHR on MIMIC-III, Mayo Clinic Bipolar Disorder, and Quebec Congenital Heart Disease EHR datasets. Qualitatively, MixEHR disease topics reveal meaningful combinations of clinical features across heterogeneous data types. Quantitatively, we observe superior prediction accuracy of diagnostic codes and lab test imputations compared to the state-of-art methods. We leverage the inferred patient topic mixtures to classify target diseases and predict mortality of patients in critical conditions. In all comparison, MixEHR confers competitive performance and reveals meaningful disease-related topics.

A Cross-Cultural Study of Self-Defining Memories in Chinese and American College Students.

Self-defining memories (SDMs) are touchstones in individuals' narrative identity. This is the first SDM study to compare college students from the mainland People's Republic of China (PRC) to American college students. It examined SDMs, Big Five personality traits, and memory function in 60 students from each country (n = 120). Participants rated their memories for affect, recall frequency, and importance. Chinese students recalled their most positively rated memories more frequently and with greater importance, while American students did not show this pattern. American students who scored higher in Openness were more likely to recall negative memories. Memory content coding revealed that Chinese students recalled significantly more guilt/shame events than American students. Further analysis indicated that these memories were particularly focused on academic performance and parental expectations. The discussion suggests that follow-up studies look at differing emotion regulation strategies in the two countries, as well as at how the two different educational systems are affecting late adolescent identity formation processes.