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Abstract Severe community-acquired pneumonia (SCAP) is a serious respiratory inflammation disease with high morbidity and mortality. This study aimed to evaluate the prognostic value of the platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), basophil-to-lymphocyte ratio (BLR) and eosinophil-to-lymphocyte ratio (ELR) in patients with SCAP. The study retrospectively included 554 patients with SCAP, and the clinical data were obtained from the electronic patient record (EMR) system. The primary outcome was in-hospital mortality, and the secondary outcomes included hospital length of stay (LOS), overall survival (OS), admission to ICU, ICU LOS, and ICU mortality. The results showed that both NLR and BLR were significant but not independent prognostic factors for in-hospital mortality; NLR was negatively correlated with hospital LOS while ELR was positively correlated with hospital LOS; both increased NLR and increased BLR were associated with reduced OS, while increased ELR was associated with improved OS; increased PLR, NLR, MLR, and BLR were all correlated with elevated ICU admission rates, while increased ELR was correlated with a reduced ICU admission rate; ELR was positively correlated with ICU LOS; both higher NLR and higher BLR were associated with increased ICU mortality. In summary, NLR and BLR were useful prognostic factors for clinical outcomes in patients with SCAP.

Abstract Porcine epidemic diarrhea (PED), caused by porcine epidemic diarrhea virus (PEDV), has been frequently occurring in the southwestern region of China over the past few years, continuously affecting the development of the swine industry. However, the genetic diversity and prevalence of PEDV strains circulating in the swine population in southwestern China in recent years have not been well studied. To address this gap, a total of 478 clinical samples were collected from 125 pig farms experiencing piglet diarrhea in 18 cities in southwestern China. The detection results revealed that 227 out of 478 samples tested positive for PEDV nucleic acid, with a positivity rate of 47.49%. Complete S gene sequences of 28 PEDV strains were obtained and classified into four subgroups, G1-a subgroup (classical strain), G1-b subgroup (S-INDEL), and two G2 subgroups (G2-a and G2-b), accounting for 17.86% (5/28), 3.57% (1/28), 35.71% (10/28), 42.86% (12/28) of the total sequenced strains, respectively. The coexistence of multiple genotypes indicates the complex genetic background and prevalence of PEDV in southwest China. Amino acid comparisons of the S proteins showed that the 28 PEDV strains sequenced in the study showed different patterns of variation in the epitope domains compared to vaccine strains belonging to different genotypes and contained many unique amino acid mutations compared to the reference strains, which might lead to immune escape of PEDV. The complex epidemiology of PEDV with multiple subgroups co-circulating in Southwest China underscores the importance of selecting appropriate vaccine strains based on locally prevalent strains and the ongoing need for epidemiological surveillance of PEDV. The emergence of new variant strains also highlights the urgency of developing updated vaccines, and effective management practices remain crucial for controlling PED outbreaks in pig farms.

Abstract Magnesium (Mg) plays a pivotal role as an essential component of plant chlorophyll and functions as a critical coenzyme. However, research exploring the regulatory mechanisms of magnesium ions on the synthesis of secondary metabolites is still in its early stages. Sophora tonkinensis is a widely utilized medicinal plant in China, recognized for its diverse secondary metabolites with active properties. This study investigates variations in these ingredients in tissue-cultured seedlings under varying magnesium concentrations. Simultaneously, an omics data analysis was conducted on tissue-cultured seedlings subjected to treatments with magnesium and low magnesium. These comprehensive omics analyses aimed to elucidate the mechanisms through which magnesium influences active components, growth, and development. Magnesium exerts a pervasive influence on various metabolic pathways, forming an intricate network. Research findings indicate that magnesium impacts diverse metabolic processes, including the absorption of potassium and calcium, as well as photosynthetic activity. Consequently, these influences lead to discernible changes in the levels of pharmacologically active compounds and the growth and developmental status.This study is the first to employ a multi-omics data analysis in S. tonkinensis. This methodology allows us to uncover the overarching impact of metabolic networks on the levels of various active ingredients and specific phenotypes.

Abstract Background Traditional chemotherapeutic agents suffer from a lack of selectivity, poor targeting ability, and drug resistance. Developing tumor-specific therapies is crucial for precisely eliminating tumors while circumventing toxicity to normal tissues. Disulfiram (DSF), an FDA-approved drug for treating alcohol dependence, exhibits antitumor effect by forming complexes with copper ions (Cu(DDC)2). Here, we developed a Cu-doped polydopamine-based nanosystem (DSF@CuPDA-PEGM) to achieve in situ generation of toxic Cu(DDC)2. Results In cancer cells with elevated H2O2 contents, CuPDA responsively degrades to release Cu ions and DSF, allowing on-site synthesis of Cu(DDC)2 with potent antitumor activity. DSF@CuPDA-PEGM exhibits excellent therapeutic efficacy against both drug-sensitive and drug-resistant cancer cells while minimizing toxicity to noncancerous cells. Moreover, DSF@CuPDA-PEGM promotes the immune response by inducing cancer cell immunogenic death, thereby augmenting anti-PD-1-based immune checkpoint blockade therapy. Conclusion A tumor-specifically degradable Cu-doped polydopamine-based nanosystem is developed to achieve in situ synthesis of antitumor compounds, providing a promising approach to precisely eliminate tumors and heighten chemo-immunotherapy. Graphical Abstract

Abstract Background Recent studies suggested that the combination of tobacco smoke exposure (TSE) and dietary nutrients intake may be related to a higher or lower risk of hypertension. However, the relationship between dietary magnesium (Mg) intake, TSE and the odds of hypertension remain unclear. This study aimed to evaluate the association of TSE, dietary Mg intake and the odds of hypertension among children and adolescents. Method Data of this study were extracted from the National Health and Nutrition Examination Surveys (NHANES) 2007–2018. Dietary Mg intake was calculated as the average of two days of dietary and supplementations intake. Serum cotinine concertation ≥ 0.05 µg/L or at least one-person smoking in the household was considered as exposing to the tobacco smoke. The weighted univariate and multivariate logistic regression models were utilized to explore the associations of dietary Mg intake, TSE and the odds of hypertension among children and adolescents with the evaluation index of odds ratio (ORs) and 95% confidence intervals (CIs). Subgroup analyses based on different age, gender and overweight were further assessed these associations. Results A total of 7,122 children and adolescents aged 8–17 years old and with the blood pressure measurement were included. Of which, 948 (13.31%) had hypertension. After adjusting all covariates, we observed children and adolescents exposed to tobacco smoke was related to higher odds of hypertension (OR = 1.34, 95%CI: 1.01–1.78); children and adolescents not reached the dietary Mg references intakes was related to higher odds of hypertension (OR = 1.48, (95%CI: 1.11–1.97); compared to children and adolescents non-TSE and reached the DRIs of Mg, those not reached the DRIs of Mg and exposed to tobacco smoke have the highest odds of hypertension (OR = 1.94, 95%CI: 1.30–2.89, P for trend = 0.002). These associations of dietary Mg intake, TSE and hypertension remain robust after the stratified analysis based on age, gender and overweight was conducted. Conclusion Our findings suggested there were a robust association between dietary Mg intake, TSE and hypertension in children and adolescents. Those children and adolescents with deficiency dietary Mg intake and exposed to tobacco smoke may have the high odds of hypertension. More restrictions on smoking as well as Mg supplementation in the prevention and treatment of hypertension among children and adolescents might be justified.

Establishing a base on the Moon is one of the new goals of human lunar exploration in recent years. Sintered lunar regolith is one of the most potential building materials for lunar bases. The physical, mechanical and thermal properties of sintered lunar regolith are vital performance indices for the structural design of a lunar base and analysis of many critical mechanical and thermal issues. In this study, the HUST-1 lunar regolith simulant (HLRS) was sintered at 1030, 1040, 1050, 1060, 1070, and 1080 °C. The effect of sintering temperature on the compressive strength was investigated, and the exact value of the optimum vacuum sintering temperature was determined between 1040 and 1060 °C. Then, the microstructure and material composition of vacuum sintered HLRS at different temperatures were characterized. It was found that the sintering temperature has no significant effect on the mineral composition in the temperature range of 1030–1080 °C. Besides, the heat capacity, thermal conductivity, and coefficient of thermal expansion (CTE) of vacuum sintered HLRS at different temperatures were investigated. Specific heat capacity of sintered samples increases with the increase of test temperature within the temperature range from −75 to 145 °C. Besides, the thermal conductivity of the sintered sample is proportional to density. Finally, the two temperatures of 1040 and 1050 °C were selected for a more detailed study of mechanical properties. The results showed that compressive strength of sintered sample is much higher than tensile strength. This study reveals the effects of sintering temperature on the physical, mechanical and thermal properties of vacuum sintered HLRS, and these material parameters will provide support for the construction of future lunar bases.

With the continuous advancement in socioeconomic development and transportation infrastructure, the daily traffic volume on highways has been steadily increasing, resulting in the growing frequency of traffic congestion incidents. Thus, the accurate prediction of highway traffic flow is of great significance for implementing traffic congestion warnings, guiding traffic diversion, and developing the concept of intelligent highways. Traffic flow exhibits intricate spatial and temporal dependencies: in the spatial dimension, the relationships between various traffic nodes are not fixed, changing dynamically over time; in the temporal dimension, multiple temporal patterns of traffic flow sequences are entangled with each other. In addition, an efficient method for fusing spatiotemporal relationships is lacking, making the accurate prediction of traffic flow a challenging endeavor. In this regard, a methodology for forecasting highway traffic flow is proposed based on dynamic graph convolutional networks and spatiotemporal feature extraction modules. Given the challenge posed by the static nature of predefined graph structures in capturing dynamic spatial relationships among traffic nodes, a dynamic graph adjustment module is introduced. Initially, the spatial features of each traffic node are extracted. Subsequently, utilizing these extracted spatial features, spatial similarity scores between traffic nodes are computed. Based on these scores, a traffic network graph structure is adapted: connections between nodes with high similarity scores, previously unlinked, are established with a certain probability, while connections between nodes with low similarity scores, previously linked, are severed with a certain probability. Furthermore, by employing the spatiotemporal feature extraction module and leveraging the updated graph structure, spatial relationships are extracted through graph convolution. This is complemented by integrating a patch concept from temporal processing methodologies. Herein, a one-dimensional traffic flow sequence is decomposed and transformed into two-dimensional data. Through convolutional operations, temporal features within and between periods are simultaneously extracted before reverting the data back to its original dimensionality. This comprehensive approach enables the modeling of spatiotemporal dependencies within the traffic flow data. To validate the effectiveness of the proposed model, experiments were conducted on four highway traffic datasets, contrasting its performance with baseline models. The proposed model achieved the mean absolute error (MAE) values of 15.6, 19.7, 16.8, and 5.21 on the PeMS03, PeMS04, PeMS08, and Fuzhou Jingtai highway datasets, respectively. These results show that the proposed method reaches an advanced level in traffic flow forecasting. Lastly, to assess the efficacy of individual model components, ablative experiments were conducted, and their results were compared. These experiments validate the effectiveness of each component, thereby affirming the efficacy of the proposed model in highway traffic flow forecasting.

Abstract Maladaptive changes of metabolic patterns in the lumbar dorsal root ganglion (DRG) are critical for nociceptive hypersensitivity genesis. The accumulation of branched-chain amino acids (BCAAs) in DRG has been implicated in mechanical allodynia and thermal hyperalgesia, but the exact mechanism is not fully understood. This study aimed to explore how BCAA catabolism in DRG modulates pain sensitization. Wildtype male mice were fed a high-fat diet (HFD) for 8 weeks. Adult PP2Cmfl/fl mice of both sexes were intrathecally injected with pAAV9-hSyn-Cre to delete the mitochondrial targeted 2 C-type serine/threonine protein phosphatase (PP2Cm) in DRG neurons. Here, we reported that BCAA catabolism was impaired in the lumbar 4–5 (L4-L5) DRGs of mice fed a high-fat diet (HFD). Conditional deletion of PP2Cm in DRG neurons led to mechanical allodynia, heat and cold hyperalgesia. Mechanistically, the genetic knockout of PP2Cm resulted in the upregulation of C-C chemokine ligand 5/C-C chemokine receptor 5 (CCL5/CCR5) axis and an increase in transient receptor potential ankyrin 1 (TRPA1) expression. Blocking the CCL5/CCR5 signaling or TRPA1 alleviated pain behaviors induced by PP2Cm deletion. Thus, targeting BCAA catabolism in DRG neurons may be a potential management strategy for pain sensitization.

Abstract Parkinson’s disease (PD) exhibits heterogeneity in terms of symptoms and prognosis, likely due to diverse neuroanatomical alterations. This study employs a contrastive deep learning approach to analyze Magnetic Resonance Imaging (MRI) data from 932 PD patients and 366 controls, aiming to disentangle PD-specific neuroanatomical alterations. The results reveal that these neuroanatomical alterations in PD are correlated with individual differences in dopamine transporter binding deficit, neurodegeneration biomarkers, and clinical severity and progression. The correlation with clinical severity is verified in an external cohort. Notably, certain proteins in the cerebrospinal fluid are strongly associated with PD-specific features, particularly those involved in the immune function. The most notable neuroanatomical alterations are observed in both subcortical and temporal regions. Our findings provide deeper insights into the patterns of brain atrophy in PD and potential underlying molecular mechanisms, paving the way for earlier patient stratification and the development of treatments to slow down neurodegeneration.

Abstract Background For the treatment of coronoid process fractures, medial, lateral, anterior, anteromedial, and posterior approaches have been increasingly reported; however, there is no general consensus on the method of fixation of coronal fractures. Here, we present a highly-extensile minimally invasive approach to treat coronoid process fractures using a mini-plate that can achieve anatomic reduction, stable fixation, and anterior capsular repair. Further, the study aimed to determine the complication rate of the anterior minimally invasive approach and to evaluate functional and clinical patient-reported outcomes during follow-up. Methods Thirty-one patients diagnosed with coronoid fractures accompanied with a “terrible triad” or posteromedial rotational instability between April 2012 and October 2018 were included in the analysis. Anatomical reduction and mini-plate fixation of coronoid fractures were performed using an anterior minimally invasive approach. Patient-reported outcomes were evaluated using the Mayo Elbow Performance Index (MEPI) score, range of motion (ROM), and the visual analog score (VAS). The time of fracture healing and complications were recorded. Results The mean follow-up time was 26.7 months (range, 14–60 months). The average time to radiological union was 3.6 ± 1.3 months. During the follow-up period, the average elbow extension was 6.8 ± 2.9° while the average flexion was 129.6 ± 4.6°. According to Morrey’s criteria, 26 (81%) elbows achieved a normal desired ROM. At the last follow-up, the mean MEPI score was 98 ± 3.3 points. There were no instances of elbow instability, elbow joint stiffness, subluxation or dislocation, infection, blood vessel complications, or nerve palsy. Overall, 10 elbows (31%) experienced heterotopic ossification. Conclusion An anterior minimally invasive approach allows satisfactory fixation of coronoid fractures while reducing incision complications due to over-dissection of soft tissue injuries. In addition, this incision does not compromise the soft tissue stability of the elbow joint and allows the patient a more rapid return to rehabilitation exercises.

ABSTRACT Background and Aims The immune microenvironment (IME) plays a crucial role in the progression of hepatocellular carcinoma (HCC). In HCC, the IME is often compromised by hepatitis B virus (HBV) infection, chronic inflammation, and fibrosis. Both antiviral therapy (AVT) and the alleviation of inflammation and fibrosis (AIF) have been shown to improve prognosis. However, the relationship among the IME of HCC, AVT, and AIF remains unclear. Methods A total of 140 and 110 primary HBV‐related HCC patients were enrolled as training and validation sets, respectively, to establish a HCC‐immune microenvironment score (H‐IME score). Immunohistochemistry was performed to assess the number of granzyme B+ (GrB+) and Foxp3+ cells, as well as the expression of CTLA‐4, PD‐1, LAG3, TIGIT, TIM3, and VISTA. Another cohort consisting of 114 recurrent HBV‐related HCC patients with paired primary and recurrent tissues was used to study the relationship among the IME of HCC, AVT, and AIF. Results The H‐IME score, including GrB, Foxp3, CTLA‐4, PD‐1, LAG3, and TIGIT, was established to evaluate the IME. A higher H‐IME score indicates stronger immunosuppressive activities. Both AVT and AIF were found to inhibit immunosuppressive activities in the IME. Compared to primary tumors, the H‐IME scores of recurrent tumors in the effective AVT group (e‐AVT, classified by HBV DNA) with AIF decreased, while the scores increased in the non‐AVT group without AIF. Conclusions The IME of HCC is closely related to AVT and AIF. e‐AVT can enhance anti‐tumor activities in the IME by alleviating inflammation and fibrosis.

ABSTRACT Pseudorabies virus (PRV), a member of the alpha-herpesviruses, can infect both the nervous and reproductive systems of pigs, causing neonatal mortality and reproductive failure in sows, which incurs substantial economic losses. Neurotropism is a common characteristic of various viruses, allowing them to cross the blood-brain barrier and access the central nervous system. However, the precise mechanisms by which PRV affects the blood-brain barrier are not well understood. To investigate the mechanism of PRV’s interaction with the blood-brain barrier and its engagement with the PI3K/Akt signaling pathway during infection, an in vitro monolayer cell model of the blood-brain barrier was established. Our research found that PRV activates Matrix metallopeptidase 2 (MMP2), which degrades Zonula occludens-1 (ZO-1) and consequently enhances the permeability of the blood-brain barrier. PRV infection elevated the transcriptional levels of tissue inhibitor of metalloproteinases 1 (TIMP1) and inhibited its degradation through the ubiquitin-proteasome pathway, leading to higher intracellular concentrations of TIMP1 protein. TIMP1 regulates apoptosis and inhibits PRV replication in mouse brain microvascular endothelial cells through the PI3K/Akt/mTOR signaling pathway. In summary, our study delineates the mechanism through which PRV compromises the blood-brain barrier and provides insights into the host’s antiviral defense mechanisms post-infection.IMPORTANCEPRV, known for its neurotropic properties, is capable of inducing severe neuronal damage. Our study discovered that following PRV infection, the expression of MMP2 was upregulated, leading to the degradation of ZO-1. Furthermore, upon PRV infection in the host, the promoter of TIMP1 is significantly activated, resulting in a significant increase in TIMP1 protein levels. This upregulation of TIMP1 inhibits the proliferation of PRV through the PI3K/Akt signaling pathway. This study elucidated the mechanism through which PRV, including the PRV XJ delgE/gI/TK strains, compromises the blood-brain barrier and identifies the antiviral response characterized by the activation of the PI3K/Akt signaling pathway within infected host cells. These findings provide potential therapeutic targets for the clinical management and treatment of PRV.

Herein, deep learning‐ghost imaging (DLGI) based on a digital micromirror device is realized to avoid the difficulties of a charge‐coupled device (CCD) scientific camera being unable to obtain the sample images in extremely weak illumination conditions and to solve the problem of the inverse relationship between imaging quality and imaging time in practical applications. Deep learning for computational ghost imaging typically requires the collection of a large set of labeled experimental data to train a neural network. Herein, we demonstrate that a practically usable neural network can be prepared based on the simulation results. The acquisition results of the CCD scientific camera and the simulation results with low sampling are used as the training set (1000 observations) and we can complete the data acquisition process within one hour. The results show that the proposed DLGI method can be used to significantly improve the quality of the reconstructed images when the sampling rate is 60%. This method also reduces the imaging time and the memory usage, while simultaneously improving the imaging quality. The imaging results of the proposed DLGI method have great significance for application in clinical diagnosis.

The G1/S transition is crucial for regulating the initiation of cell division and is highly conserved across eukaryotes. This phase of the cell cycle involves intricate transcriptional controls that are essential for understanding cell proliferation dynamics. The G1/S transition integrates diverse intracellular and extracellular signals, including growth factors and cell sizes. Saccharomyces cerevisiae, an important model organism, plays an integral role in unveiling the regulatory mechanisms of the G1/S transition. Recent studies on the G1/S transition in both yeast and vertebrates have demonstrated a direct correlation between dysregulation of the G1/S transition and the development of cancer. This review explores the G1/S transition regulatory network and its association with cancer formation, providing a theoretical foundation for future research in fundamental cell cycle dynamics and cancer.

Cardiovascular disease (CVD) is responsible for approximately 30% of annual global mortality rates, yet existing treatments for this condition are considered less than ideal. Despite being previously overlooked, lactate, a byproduct of glycolysis, is now acknowledged for its crucial role in the cellular functions of the cardiovascular system. Recent studies have shown that lactate influences the proliferation, differentiation, and activation of immune cells through its modulation of post-translational protein modifications, thereby affecting the development and prognosis of cardiovascular disease. Consequently, there has been a notable increase in interest towards drug targets targeting lactylation in immune cells, prompting further exploration. In light of the swift advancements in this domain, this review article is dedicated to examining lactylation in cardiovascular disease and potential drug targets for regulating lactylation, with the aim of enhancing comprehension of this intricate field.

Purpose: This study aims to address therapy-related toxicities and quality of life in prostate cancer patients undergoing transperineal ultrasound (TPUS) guided radiotherapy (RT). Methods: Acute and late gastrointestinal (GI) and genitourinary (GU) toxicities were assessed by physicians using CTCAE v5.0. Patient-reported quality of life outcomes were evaluated using EORTC QLQ-C30, -PR25 and IPSS. We utilized Volumetric Modulated Arc Therapy (VMAT) or intensity modulated radiation therapy (IMRT) as the RT technique for this study. The assessments were carried out before RT, at RT end, 3 months after RT and subsequently at 1-year intervals. Prostate-specific antigen (PSA) was also evaluated at each follow-up. Results: In this study, a total of 164 patients were enrolled, while among them, 112 patients delivered quality-of-life data in a prospective evaluation. The median pre-treatment PSA was 7.9 ng/mL (range: 1.8–169 ng/ml). At the median follow-up of 19 months (3–82 months), the median PSA decreased to 0.22 ng/ml. Acute grade II GI and GU toxicities occurred in 8.6 % and 21.5 % patients at RT end. Regarding late toxicities, 2.2 % patients experienced grade II GI toxicities at 27 months and only one patient at 51 months, whereas no grade II GU late toxicities were reported at these time points. Quality of life scores also indicated a well-tolerated treatment. Patients mainly experienced acute clinically relevant symptoms of fatigue, pain, as well as deterioration in bowel and urinary symptoms. However, most symptoms normalized at 3 months and remained stable thereafter. Overall functioning showed a similar decline at RT end but improved over time. Conclusion: The outcomes of TPUS-guided RT demonstrated promising results in terms of minimal physician-reported toxicities and satisfactory patient-reported QoL.

Rumors spread on social media overshadow the truth and trigger public panic. One effective countermeasure to address this issue is online rumor-combating. However, its effectiveness on social media has not been fully verified. In this study, drawing on construal level theory, we use temporal distance—the time interval between a rumor-combating post being released and receiving responses from social media users—to measure the effectiveness of rumor-combating. We also adopt elaboration likelihood model to explore the factors that could enhance this effectiveness. The empirical results show that perceptible (central route) factors, including the author’s authoritative combating methods, media richness, and positive emotions, are negatively related to temporal distance and are more effective for enhancing rumor-combating effectiveness than imperceptible (peripheral route) factors, such as the author’s influence and activeness. In addition, media richness exerts positive moderating effects on the relationship between perceptible route factors and rumor-combating effectiveness, implying that with the help of images or videos, rumor-combating effectiveness improves. This study addresses the need to enhance the effectiveness of rumor-combating and has practical implications for combating rumors in the social media.

IntroductionPorcine circovirus type 2 (PCV2) and Porcine epidemic diarrhea virus (PEDV) are highly prevalent in Sichuan, significantly affecting the swine industry’s development. PCV2, known for its immunosuppressive effects, can compromise pigs’ immune systems, while PEDV typically causes diarrhea in piglets, leading to high mortality rates. Despite their impact, recent studies on the epidemiology and genetic diversity of PCV2 and PEDV within Sichuan Province remain limited.MethodsThis study examines clinical samples from 352 diarrheal piglets across 63 pig farms in 17 regions of Sichuan Province, revealing positivity rates of 42.33% (149/352) for PCV2 and 50.28% (177/352) for PEDV, with a co-infection rate of 27.56% (97/352). Notably, the highest positivity rates were observed in Ziyang for PCV2 at 61.90% (13/21), and in Meishan for PEDV at 73.81% (31/42), both regions also reported the highest co-infection rates of 47.62%.Results and discussionSeasonal analysis indicated that PEDV infections peaked during winter, whereas PCV2 showed no significant seasonal trends. Phylogenetic analysis identified 14 PCV2 strains, categorizing 2 as PCV2b (14.29%), 10 as PCV2d (71.43%), and 2 as PCV2e (14.29%). Among the 16 PEDV strains, 2 were classified as G1a (12.5%) and 14 as G2a (87.5%), with PCV2d and PEDV G2a identified as the predominant strains in the region. The study also highlights a high mutation rate at the antigenic sites of both viruses, potentially affecting vaccine efficacy. These findings underscore the need for ongoing surveillance and vaccine development tailored to the prevalent strains to improve control measures within the province.

ObjectivePrevious studies have suggested a potential association between gut microbiota and the development of alcohol-related liver disease (ALD). However, the causal relationship between gut microbiota and ALD, as well as the role of inflammatory cytokines as mediators, remains unclear. This study aims to explore the causal relationship between gut microbiota and ALD using Mendelian randomization (MR) methods, and to analyze the mediating role of inflammatory cytokines.MethodsGut microbiota, 91 inflammatory cytokines, and ALD were identified from summary data of large-scale genome-wide association studies (GWAS). MR was employed to investigate the causal relationship between gut microbiota, cytokines, and ALD, with the inverse variance-weighted method (IVW) as the primary statistical approach. Additionally, we examined whether inflammatory cytokines act as mediating factors in the pathway from gut microbiota to ALD.ResultsThe IVW results confirmed two positive and one negative causal effect between genetic liability in the gut microbiota and ALD. Escherichia coli (P= 0.003) was identified as a protective factor for ALD, while Roseburia hominis (P=0.023) and Family Porphyromonadaceae (P=0.038) were identified as risk factors for ALD. Furthermore, there were five positive and two negative causal effects between inflammatory cytokines and ALD, with CUB domain-containing protein 1 (P= 0.035), Macrophage colony-stimulating factor 1 (P=0.047), Cystatin D (P = 0.035), Fractalkine (P=0.000000038), Monocyte chemoattractant protein-1 (P=0.004) positively associated with ALD onset. CD40L receptor (P= 0.044) and Leukemia inhibitory factor (P = 0.024) exhibited protective effects against ALD. Mediation MR analysis indicated that CUB domain-containing protein 1 (mediation proportion=1.6%, P=0.035), Cystatin D (mediation proportion=1.5%, P=0.012), and Monocyte chemoattractant protein-1 (mediation proportion=3.3%, P=0.005) mediated the causal effect of Roseburia hominis on ALD.ConclusionIn conclusion, our study supports a causal relationship among gut microbiota, inflammatory cytokines and ALD, with inflammatory cytokines potentially acting as mediating factors in the pathway from gut microbiota to ALD.

Heterogeneous drought stress (HED) is prevalent in drought-resistant practices such as deficit irrigation, root zone irrigation and strip intercropping. The mechanisms and improvement of crop drought resistance under HED are not fully understood. This study used double-root grafted Nandou 12 (ND12) soybean seedlings to simulate HED treatment under controlled conditions. Seedlings were transplanted into root cups with waterproof partitions to establish different soil moisture treatments: sufficient irrigation (SI) with 80 % soil moisture on both sides, HED with 80 % on one side and 40 % on the other, and homogeneous drought stress (HOD) with 60 % on both sides. The results indicated that soybean plants treated with HED exhibited healthier growth compared to those treated with HOD. Photosynthesis rate (Pn), stomatal conductance (cond.), transpiration rate (Tr), and relative water content (RWC) decreased by 10.24 %, 43.90 %, 152.66 %, and 8.69 % in HED-treated plants, respectively, but dry biomass increased by 3.38 %. Conversely, HOD conditions led to a significant decline in these parameters. Metabolomic and transcriptomic analyses revealed significant changes in the biosynthesis and signaling pathways of key phytohormones and metabolites, including abscisic acid (ABA), gibberellin (GA), jasmonic acid (JA), isoflavones, starch, and sugars. In HED-treated plants, GmNCED downregulation resulted in 54.22 % less ABA than HOD. GA levels increased under HED with upregulation of GmGA3OX1 and GmGA3OX2. JA content in HED-treated roots was 90.90 % higher than in HOD-treated roots. Isoflavones concentration including genistein (73.01 %), genistin (63.63 %), malonylgenistin (20.58 %), malonylgenistin (65 %), diadzin (38.15 %), and malonyldiadzin (47.61 %) levels, were significantly higher in HED-treated plants. Antioxidant enzyme activities indicated a 20 % increase in peroxidase (POD) activity under HED, while malondialdehyde (MDA) content was 27 % higher in HOD-treated plants, indicating greater oxidative stress. Chlorophyll content remained stable, and starch concentration increased by 33.33 % in HED-treated plants compared to HOD-treated plants. HED enhances phytohormonal responses and metabolic adjustments in soybean plants, boosting photosynthetic efficiency, antioxidant capabilities, growth, and drought resilience. This regulatory mechanism balances growth promotion and drought resistance, highlighting HED potential in improving crop resilience.

The construction of extraterrestrial bases has become a new goal in the active exploration of deep space. Among the construction techniques, in situ resource-based construction is one of the most promising because of its good sustainability and acceptable economic cost, triggering the development of various types of extraterrestrial construction materials. A comprehensive survey and comparison of materials from the perspective of performance was conducted to provide suggestions for material selection and optimization. Thirteen types of typical construction materials are discussed in terms of their reliability and applicability in extreme extraterrestrial environment. Mechanical, thermal and optical, and radiation-shielding properties are considered. The influencing factors and optimization methods for these properties are analyzed. From the perspective of material properties, the existing challenges lie in the comprehensive, long-term, and real characterization of regolith-based construction materials. Correspondingly, the suggested future directions include the application of high-throughput characterization methods, accelerated durability tests, and conducting extraterrestrial experiments.

In recent years, the deep integration of basic research and clinical translational research of nanotechnology and oncology has led to the emergence of a new branch, namely integrated nano-oncology. This is an emerging and important interdisciplinary field, which plays an irreplaceable role in the diagnosis, treatment, early warning, monitoring and prevention of tumors, and has become a new interdisciplinary frontier. Here main advances of integrated nano-oncology was reviewed, mainly included controlled preparation of nanomaterials, ultra-sensitive detection of tumor biomarkers, multi-functional nanoimaging probes and integrated diagnosis and treatment technology, innovative nano drugs and nano drug delivery system, DNA nanotechnology, RNA nanotechnology, nano self-assembly technology, nanosensors, intelligent nanorobots, nanotherapeutic machines. The terms, concepts, trends and challenges are also discussed with the aim of promoting the application of nanotechnology in integrated oncology and solving the scientific and key technical problems in basic and clinical translational research of cancer.

Abstract Background Wolbachia-infected thelytokous Trichogramma wasps have been considered as potential effective biocontrol agents against lepidopteran pests in agriculture and forests. However, intra-specific competition may arise when Wolbachia-infected thelytokous Trichogramma coexist with their uninfected bisexual counterparts in fields or during mass-rearing procedures. This competition could potentially impact the efficacy of Trichogramma females in biological control programs. Results This study examined the parasitic capacities of bisexual (TdB) and Wolbachia-infected thelytokous (TdT) strains of Trichogramma dendrolimi as influenced by host density (ranging from 5 to 70 host eggs) and wasp density (two, four, and six females per arena). The experiments involved inter-strain competition between TdB and TdT strains (Inter-Td) as well as intra-strain competition within the TdT (Intra-TdT) or TdB (Intra-TdB) strains. Results revealed that females in the Inter-Td group exhibited a higher attack rate compared to those in the Intra-TdT and Intra-TdB groups, irrespective of wasp density. Specifically, when six females were present, the Inter-Td group showed significantly shorter host handling times than the Intra-TdT group. Within intra-strain cohorts, TdT females displayed a lower attack rate than TdB females when four or six females were present, and longer host handling times when six females were present. Mutual interference between individuals was not affected by competition types. Females of the Inter-Td group exhibited a higher probability of superparasitism than those of the Intra-TdB group or Inter-Td group. When both strains coexisted, the proportion of TdT offspring with six females was higher than that with two females or four females. Male ratios of bisexual offspring in Inter-Td groups were higher than those in Intra-TdB groups. The male ratio of bisexual offspring in the Inter-Td group increased with wasp density. Conclusions Our study highlights the negative impact of Wolbachia on parasitic capacity of Trichogramma females, increasing the likelihood of superparasitism. The coexistence of both strains enhances total parasitic efficacy, albeit resulting in a higher proportion of male offspring compared to scenarios with only uninfected females. The results will provide the reference for the usage of Wolbachia-infected thelytokous strain of T. dendrolimi in augmentative biological control programs.

Abstract Background The identification of survival predictors is crucial for early intervention to improve outcome in acute myeloid leukemia (AML). This study aim to identify chest computed tomography (CT)-derived features to predict prognosis for acute myeloid leukemia (AML). Methods 952 patients with pathologically-confirmed AML were retrospectively enrolled between 2010 and 2020. CT-derived features (including body composition and subcutaneous fat features), were obtained from the initial chest CT images and were used to build models to predict the prognosis. A CT-derived MSF nomogram was constructed using multivariate Cox regression incorporating CT-based features. The performance of the prediction models was assessed with discrimination, calibration, decision curves and improvements. Results Three CT-derived features, including myosarcopenia, spleen_CTV, and SF_CTV (MSF) were identified as the independent predictors for prognosis in AML (P

Abstract Fast computational ghost imaging with high quality and ultra-high-definition resolution reconstructed images has important application potential in target tracking, biological imaging and other fields. However, as far as we know, the resolution (pixels) of the reconstructed image is related to the number of measurements. And the limited resolution of reconstructed images at low measurement times hinders the application of computational ghost imaging. Therefore, in this work, a new computational ghost imaging method based on saliency variable sampling detection is proposed to achieve high-quality imaging at low measurement times. This method physically variable samples the salient features and realizes compressed detection of computational ghost imaging based on the salient periodic features of the bucket detection signal. Numerical simulation and experimental results show that the reconstructed image quality of our method is similar to the compressed sensing method at low measurement times. Even at 500 (sampling rate $$0.76\%$$ 0.76 % ) measurement times, the reconstructed image of the method still has the target features. Moreover, the $$2160\times 4096$$ 2160 × 4096 (4K) pixels ultra-high-definition resolution reconstructed images can be obtained at only a sampling rate of $$0.11\%$$ 0.11 % . This method has great potential value in real-time detection and tracking, biological imaging and other fields.

IntroductionAccurate and rapid identification of cabbage posture is crucial for minimizing damage to cabbage heads during mechanical harvesting. However, due to the structural complexity of cabbages, current methods encounter challenges in detecting and segmenting the heads and roots. Therefore, exploring efficient cabbage posture prediction methods is of great significance.MethodsThis study introduces YOLOv5-POS, an innovative cabbage posture prediction approach. Building on the YOLOv5s backbone, this method enhances detection and segmentation capabilities for cabbage heads and roots by incorporating C-RepGFPN to replace the traditional Neck layer, optimizing feature extraction and upsampling strategies, and refining the C-Seg segmentation head. Additionally, a cabbage root growth prediction model based on Bézier curves is proposed, using the geometric moment method for key point identification and the anti-gravity stem-seeking principle to determine root-head junctions. It performs precision root growth curve fitting and prediction, effectively overcoming the challenge posed by the outer leaves completely enclosing the cabbage root stem.Results and discussionYOLOv5-POS was tested on a multi-variety cabbage dataset, achieving an F1 score of 98.8% for head and root detection, with an instance segmentation accuracy of 93.5%. The posture recognition model demonstrated an average absolute error of 1.38° and an average relative error of 2.32%, while the root growth prediction model reached an accuracy of 98%. Cabbage posture recognition was completed within 28 milliseconds, enabling real-time harvesting. The enhanced model effectively addresses the challenges of cabbage segmentation and posture prediction, providing a highly accurate and efficient solution for automated harvesting, minimizing crop damage, and improving operational efficiency.

Background: Radiation-induced lung fibrosis (RILF) is a life-threatening complication of thoracic radiotherapy. Ferroptosis, a recently discovered type of cell death, is believed to contribute to RILF, though the associated mechanisms are unknown. This study aimed to investigate the potential mechanism of ferroptosis in RILF and examine the contribution of different cell types to ferroptosis during RILF progression. Methods: Histopathological changes in RILF lung tissue were assessed through H&E and Masson staining. IHC staining investigated ferroptosis markers (GPX4, ACSL4, NCOA4). Ferroptosis-related genes (FRG) and pathway scores were derived from RILF transcriptome microarray data. The sc-RNAseq analysis detected FRG score dynamics across cell types, validated by IF staining for PDGFR-α and ACSL4. Results: ACSL4 and NCOA4 protein levels were significantly higher and GPX4 lower in IR than control. FRG scores were positively correlated with fibrosis-related pathway scores in the RILF transcriptome data. FRG and ECM scores were concurrently upregulated in myofibroblasts. Enhanced co-staining of PDGFR-α and ACSL4 were observed in the fibrotic areas of RILF lungs. Conclusions: Our research indicated that in RILF, fibroblasts undergoing ferroptosis may release increased levels of ECM, potentially accelerating the progression of lung fibrosis. This finding presents ferroptosis as a potential therapeutic target in RILF.

BackgroundPrevious research has demonstrated an association between gut microbiota and immune status with the development of several diseases. However, whether these factors contribute to polyps remains unclear. This study aims to use Mendelian randomization (MR) to investigate the causal relationship between gut microbiota and 4 types of polyps (nasal, gallbladder, colon, and gastric polyps), as well as to analyze the mediating role of immune traits.MethodsThis study utilized large-scale GWAS meta-analyses of gut microbiota (MiBioGen Consortium), 731 immune traits, and 4 types of polyps (one from the FinnGen Consortium and three from the NBDC Human Database). Univariate MR with the inverse variance weighted (IVW) estimation method was employed as the primary analytical approach. A two-step MR analysis was performed to identify potential mediating immune traits. Additionally, multivariable MR approach based on Bayesian model averaging (MR-BMA) was employed to further prioritize gut microbiota and immune traits associated with polyp development.ResultsBased on IVW method in univariate MR analysis, we identified 39 gut microbial taxa and 135 immune traits significantly causally associated with at least one type of polyp. For nasal polyps, 13 microbial taxa and 61 immune traits were causally associated. After false discovery rate (FDR) correction, CD3 on Central Memory CD8+ T cells and CD3 on CD4 regulatory T cells remained significant. MR-BMA identified 4 gut microbial taxa and 4 immune traits as high priority. For gallbladder polyps, 9 microbial taxa and 30 immune traits were causally associated. MR-BMA identified 8 microbial taxa and 6 immune traits as higher importance. For colon polyps, 6 microbial taxa and 21 immune traits were causally associated. MR-BMA identified 4 microbial taxa and 3 immune traits as higher importance. For gastric polyps, 12 microbial taxa and 33 immune traits were causally associated. Actinobacteria remained significant after FDR correction, and MR-BMA identified 7 gut microbial taxa and 6 immune traits as high priority. We identified 16 causal pathways with mediator directions consistent with the direction of gut microbiome-polyp association. Of these, 6 pathways were associated with the mechanism of nasal polyps, 1 with gallbladder polyps, 2 with colon polyps, and 7 with gastric polyps.ConclusionsOur findings shed light on the causal relationships between gut microbiota, immune traits, and polyp development, underscoring the crucial roles of gut microbiota and immune status in polypogenesis. Furthermore, these findings suggest potential applications in polyp prevention, early screening, and the development of effective strategies to reduce polyp risk.

Flexible pressure sensors are lightweight and highly sensitive, making them suitable for use in small portable devices to achieve precise measurements of tiny forces. This article introduces a low-cost and easy-fabrication strategy for piezoresistive flexible pressure sensors. By embedding silver nanowires into a polydimethylsiloxane layer with micro-pyramids on its surface, a flexible pressure sensor is created that can detect low pressure (17.3 Pa) with fast response (

An improved understanding of the oxidation resistance of HfC-TaC ultra-high temperature ceramics (UHTCs) is developed through modeling of the phase equilibria in the Hf-Ta-O system and HfO2-Ta2O5 isoplethal section. CALculation of PHAse Diagrams (CALPHAD) thermodynamic models of the systems are developed in conjunction with experimental data from the literature and first-principles calculations. Density functional theory (DFT) calculations accurately describe thermodynamic properties of binary oxides in the Hf-Ta-O system and predict cation disorder in Hf(n-5)/2Ta2On. The ternary modeling includes revised models of the Hf–O system and existing models of the Ta–O and Hf–Ta systems. The Hf(n-5)/2Ta2On ternary oxide series is modeled as three entropically stabilized solid solutions with disordered cation sublattices that increase in stability with structure size. Hf4Ta2O13 is considered a metastable phase based on the present models and phase diagram, consistent with the lack of experimental data supporting its stability. The calculated phase diagrams improve upon prior ones and predict optimal thermal resistance of HfC-TaC ceramics at compositions between 3HfC-1TaC and 4HfC-1TaC.

This paper evaluates the macroeconomic effects of monetary policy for a central bank digital currency rule with traditional monetary policy in an open environment. We build a dynamic stochastic general equilibrium small open model economy with interest-bearing central bank digital currency assets. The redistribution of asset holdings and the change in asset price are the two pathways through which a retail central bank digital currency rule under the traditional monetary policy affects the macroeconomy. Fiat's digital and traditional monetary policies complement one another in lowering macroeconomic fluctuations. As a result, the real exchange rate, current accounts, and consumption are more stable in transmitting foreign shocks. These results occur when price-based or quantitative-based fiat digital monetary policy parallels traditional price-based monetary policy.

BackgroundPortal vein tumor thrombus (PVTT) is a major risk factor of recurrence of hepatocellular carcinoma (HCC) after hepatectomy. Whether postoperative adjuvant immunotherapy and molecular targeted therapy (I-O and MTT) is effective in reducing the risk of recurrence of HCC with minimal portal invasion after hepatectomy and improving prognosis is unknown.MethodsWe collected the data of HCC with Vp1 or Vp2 PVTT patients who underwent hepatectomy at our center between January 2019 and June 2022 from the hospital database. We utilized propensity score matching (PSM) to establish a 1:1 match between the postoperative group treated with I-O and MTT and the postoperative group without I-O and MTT. To compare the recurrence-free survival (RFS) and overall survival (OS) between the two groups, we employed the Kaplan-Meier method. Additionally, we conducted Cox regression analysis to identify the prognostic factors that influence patient prognosis. To account for different high-risk factors, subgroup analyses were carried out.ResultsAmong the 189 patients included in the study, 42 patients received postoperative adjuvant I-O and MTT. After PSM, the 1, 2-years RFS were 59.2%, 21.3% respectively in the I-O and MTT group and 40.8%, 9.6% respectively in the non-I-O and MTT group. The median RFS was 13.2 months for the I-O and MTT group better than 7.0 months for the non-I-O and MTT group (P = 0.028). 1, 2-years OS were 89.8%, 65.8% respectively in the I-O and MTT group and 42.4%, 27.7% respectively in the non-I-O and MTT group. The median OS was 23.5 months for the I-O and MTT group better than 17.2 months for the non-I-O and MTT group (P = 0.027). Multivariate analysis showed that postoperative adjuvant I-O and MTT was a prognostic protective factor associated with OS and RFS. The most frequent AE observed in this study was pruritus, and rare AEs included decreased platelet, hypothyroidism, proteinuria, myocarditis and hypoadrenocorticism. The incidence of GRADE ≥3 AE with no deaths recorded.ConclusionThe study suggested that postoperative adjuvant I-O and MTT strategy was beneficial to improve the prognosis of HCC patients with PVTT patients, while the therapy was safe and reliable.

This case report describes a 3-month-old male infant diagnosed with severe mitral stenosis (MS) and mitral regurgitation (MR) by transthoracic echocardiography. The male infant initially underwent complex mitral valve repair surgery. However, postoperative deterioration occurred with hemodynamic instability and shock, necessitating multiple resuscitation efforts and ultimately requiring support from Extracorporeal Membrane Oxygenation (ECMO). Given the serious conditions, the cardiac team decided to perform mitral valve replacement with a fresh allograft aortic valve. Postoperatively, the patient was promptly weaned off ECMO support, and the valve demonstrated sustained functionality throughout the long-term follow-up.

Acute myeloid leukemia (AML) is a common hematological malignancy with overall poor prognosis. Exploring novel targets is urgent and necessary to improve the clinical outcome of relapsed and refractory (RR) AML patients. Through clinical specimens, animal models and cell-level studies, we explored the specific mechanism of 3-hydroxy-3-methylglutaryl coenzyme A synthase 1 (HMGCS1) in AML and the mechanism of targeting HMGCS1 to attenuate cell proliferation, increase chemotherapy sensitivity and improve the occurrence and development of AML. Here, we reveal that HMGCS1 is overexpressed in RR patients and negatively related to overall survival (OS). Knocking out HMGCS1 in AML cells attenuated cell proliferation and increased chemotherapy sensitivity, while stable overexpression of HMGCS1 had the opposite effects. Mechanistically, we identified that knockout of HMGCS1 suppressed mitogen-activated protein kinase (MAPK) pathway activity, while overexpression of HMGCS1 could remarkably enhance the pathway. U0126, a MEK1 inhibitor, offset the effects of HMGCS1 overexpression, indicating that HMGCS1 promotes RR AML through the MAPK pathway. Further, we verified that hymeglusin, a specific inhibitor of HMGCS1, decreases cell growth both in AML cell lines and primary bone marrow cells of AML patients. Furthermore, combination of hymeglusin and the common chemotherapeutic drug cytarabine and adriamycin (ADR) had synergistic toxic effects on AML cells. Our study demonstrates the important role of HMGCS1 in AML, and targeting this protein is promising for the treatment of RR AML.

The adult mammalian cardiomyocyte has a limited capacity for self-renewal, which leads to the irreversible heart dysfunction and poses a significant threat to myocardial infarction patients. In the past decades, research efforts have been predominantly concentrated on the cardiomyocyte proliferation and heart regeneration. However, the heart is a complex organ that comprises not only cardiomyocytes but also numerous noncardiomyocyte cells, all playing integral roles in maintaining cardiac function. In addition, cardiomyocytes are exposed to a dynamically changing physical environment that includes oxygen saturation and mechanical forces. Recently, a growing number of studies on myocardial microenvironment in cardiomyocyte proliferation and heart regeneration is ongoing. In this review, we provide an overview of recent advances in myocardial microenvironment, which plays an important role in cardiomyocyte proliferation and heart regeneration.

Efficient, non-destructive cabbage harvesting is crucial for preserving its flavor and quality. Current cabbage harvesting mainly relies on mechanized automatic picking methods. However, a notable deficiency in most existing cabbage harvesting devices is the absence of a root posture recognition system to promptly adjust the root posture, consequently impacting the accuracy of root cutting during harvesting. To address this issue, this study introduces a cabbage root posture recognition method that combines deep learning with traditional image processing algorithms. Preliminary detection of the main root Region of Interest (ROI) areas of the cabbage is carried out through the YOLOv5s deep learning model. Subsequently, traditional image processing methods, the Graham algorithm, and the method of calculating the minimum circumscribed rectangle are employed to specifically detect the inclination angle of cabbage roots. This approach effectively addresses the difficulty in calculating the inclination angle of roots caused by occlusion from outer leaves. The results demonstrate that the precision and recall of this method are 98.7 % and 98.6 %, respectively, with an average absolute error of 0.80° and an average relative error of 1.34 % in posture. Using this method as a reference for mechanical harvesting can effectively mitigate cabbage damage rates.