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Flood control operation, a non-engineering measure, can efficiently manage flood disasters within a river basin. However, numerous uncertainties exit in the real-time operation of flood control systems, creating risks in decision-making. As an efficient tool to mitigate these risks, risk management has garnered increasing attention in real-time flood control operation. This communication offers a series of suggestions for future research concerning risk management in real-time flood control operation, including risk assessment, risk diagnosis, and risk control methods.

Background: Acting as mediators in cell-matrix and cell-cell communication, matricellular proteins play a crucial role in cancer progression. Thrombospondins (TSPs), a type of matricellular glycoproteins, are key regulators in cancer biology with multifaceted roles. Although TSPs have been implicated in anti-tumor immunity and epithelial-mesenchymal transition (EMT) in several malignancies, their specific roles to colon cancer remain elusive. Addressing this knowledge gap is essential, as understanding the function of TSPs in colon cancer could identify new therapeutic targets and prognostic markers. Methods: Analyzing 1981 samples from 10 high-throughput datasets, including six bulk RNA-seq, three scRNA-seq, and one spatial transcriptome dataset, our study investigated the prognostic relevance, risk stratification value, immune heterogeneity, and cellular origin of TSPs, as well as their influence on cancer-associated fibroblasts (CAFs). Utilizing survival analysis, unsupervised clustering, and functional enrichment, along with multiple correlation analyses of the tumor-microenvironment (TME) via Gene Set Variation Analysis (GSVA), spatial localization, Monocle2, and CellPhoneDB, we provided insights into the clinical and cellular implications of TSPs. Results: First, we observed significant upregulation of THBS2 and COMP in colon cancer, both of which displayed significant prognostic value. Additionally, we detected a significant positive correlation between TSPs and immune cells, as well as marker genes of EMT. Second, based on TSPs expression, patients were divided into two clusters with distinct prognoses: the high TSPs expression group (TSPs-H) was characterized by pronounced immune and stromal cell infiltration, and notably elevated T-cell exhaustion scores. Subsequently, we found that THBS2 and COMP may be associated with the differentiation of CAFs into pan-iCAFs and pan-dCAFs, which are known for their heightened matrix remodeling activities. Moreover, THBS2 enhanced CAFs communication with vascular endothelial cells and monocyte-macrophages. CAFs expressing THBS2 (THBS2+ CAFs) demonstrated higher scores across multiple signaling pathways, including angiogenic, EMT, Hedgehog, Notch, Wnt, and TGF-β, when compared to THBS2- CAFs. These observations suggest that THBS2 may be associated with stronger pro-carcinogenic activity in CAFs. Conclusions: This study revealed the crucial role of TSPs and the significant correlation between THBS2 and CAFs interactions in colon cancer progression, providing valuable insights for targeting TSPs to mitigate cancer progression.

ABSTRACTBackground Pneumococcal vaccines are effective in preventing pneumococcal diseases in adults. The evaluation of the antibodies persistence to the 23-valent pneumococcal polysaccharide vaccine (PPV23) could provide evidence on PPV23 revaccination.Research design and methods Adults aged ≥ 60 years were selected and vaccinated with PPV23 in Shanghai, and followed up for 5 years with blood samples collection of a 1-year interval. The geometric mean concentrations (GMC) of the IgG against 23 pneumococcal serotypes covered by PPV23 were detected using enzyme-linked immunosorbent assay. The antibodies to 23 pneumococcal serotypes among different groups was analyzed using statistical analysis.Results Overall, 517 participants completed all six visits over a 5-year period (2013–2018). The GMC of 23 serotypes in adults aged ≥ 60 years decreased slowly after PPV23 vaccination compared to baseline pre-vaccination (P

Abstract Background Circulating microRNAs (miRNAs) are recently a rapidly increasing of interest as non-invasive biomarkers for diagnosis and prognosis of acute myocardial infarction (AMI). Previous studies revealed that several miRNAs exhibited the capacity for diagnosis and prognosis of AMI, the reasons why these circulating miRNAs are concerned as targets for investigation are quite cryptogenic, presumably due to the lack of clues provided by global surveillance at the transcriptome level, and the current data for some miRNAs are controversial and inconsistent among independent studies. Methods To comprehensively profiling the potential miRNAs for diagnosis and prognosis of AMI, we reported transcriptomes of circulating miRNAs in the plasma of 27 healthy controls, 64 AMI patients (37 STEMI and 27 NSTEMI) and 20 AMI patients who were subjected to reperfusion therapy. Meanwhile, the cTnI of AMI patients was parallel determined. Differentially-circulated miRNAs were analyzed between each group. All detected circulating miRNAs were examined by ROC analysis and then LASSO dimension reduction to obtain an optimal panel for diagnosis of AMI. A five-year period follow-up towards the AMI and reperfusion patients was performed, and the prognostic value of circulating miRNAs in these patients was estimated by using the Cox regression model, ROC and Kaplan-Meier curves. Results Comprehensive global differences of miRNAs transcriptome among AMI, reperfusion patients and healthy controls were identified. A total of 40 miRNAs, called high diagnostic performance miRNAs, including several previous well-studied miRNAs with AUC greater than 0.85 were shown to discriminate AMI with healthy controls. In addition, 29 miRNAs were analyzed to be strongly correlated with the plasma cTnI level, of which 20 overlapped with high diagnostic performance miRNAs. These overlapped miRNAs are over-represented in the pathways which actually reflect the pathological cause of myocardial infarction, as well as the regulation of gene expression and energetic pathway of cellular response to hypoxia. Finally, two miRNAs were analyzed to be significantly correlated to all-cause mortality. Conclusion This is the first time to survey plasma miRNAs for the development of AMI diagnostic and prognostic biomarkers at the transcriptome level. A subset of miRNAs exhibited potential diagnostic and prognostic merits for AMI.

The concept of precision nutrition was first proposed almost a decade ago. Current research in precision nutrition primarily focuses on comprehending individualized variations in response to dietary intake, with little attention being given to other crucial aspects of precision nutrition. Moreover, there is a dearth of comprehensive review studies that portray the landscape and framework of precision nutrition. This review commences by tracing the historical trajectory of nutritional science, with the aim of dissecting the challenges encountered in nutrition science within the new era of disease profiles. This review also deconstructs the field of precision nutrition into four key components: the proposal of the theory for individualized nutritional requirement phenotypes; the establishment of precise methods for measuring dietary intake and evaluating nutritional status; the creation of multidimensional nutritional intervention strategies that address the aspects of what, how, and when to eat; and the construction of a pathway for the translation and integration of scientific research into healthcare practices, utilizing artificial intelligence and information platforms. Incorporating these four components, this review further discusses prospective avenues that warrant exploration to achieve the objective of enhancing health through precision nutrition.

Skin aging is an increasingly prominent topic in the context of healthy aging. During the aging process, the skin’s barrier function diminishes, its water content decreases, wrinkles begin to form, and changes occur in the gut microbiota composition. However, the relationship between gut microbiota and skin aging remains unclear. In this study, we explored skin rejuvenation in aged mice through fecal microbiota transplantation (FMT) using feces from young mice. The results demonstrated enhanced water retention, thickened stratum corneum, increased collagen content, and improved epithelial cell differentiation in aged mice following FMT. Notably, FMT particularly increased the abundance of Lactobacillus and Lactococcus in aged mice, which were nearly undetectable in untreated aged mice. Non-targeted and targeted metabolomics analyses indicated that FMT significantly elevated levels of tryptophan (Trp) and its microbiota metabolites (e.g., indole-3-lactic acid (ILA)) in the feces and serum of aged mice. Both Trp and ILA appeared to rejuvenate aged skin by activating the aryl hydrocarbon receptor (AhR) to promote epidermal cell differentiation. In conclusion, FMT from young mice rejuvenated aged skin via Trp-metabolizing bacteria (Lactobacillus and Lactococcus) and Trp-derived metabolites, suggesting that interventions targeting Trp metabolites may effectively improve skin aging.

Intestinal stem cells (ISCs) initiate intestinal epithelial regeneration and tumorigenesis, and they experience rapid refilling upon various injuries for epithelial repair as well as tumor reoccurrence. It is crucial to reveal the mechanism underlying such plasticity for intestinal health. Recent studies have found that metabolic pathways control stem cell fate in homeostasis, but the role of metabolism in the regeneration of ISCs after damage has not been clarified. Here, we find that in a human colorectal cancer dataset, miR-29a and b (miR-29a/b) are metabolic regulators highly associated with intestinal tumorigenesis and worse prognostic value of radiotherapy. We also show that these two microRNAs are required for intestinal stemness maintenance in mice, and their expression is induced in regenerated ISCs after irradiation injury, resulting in skewed ISC fate from differentiation towards self-renewal. This upregulation of miR-29a/b expression in ISCs leads to suppression of fatty acid oxidation (FAO) and depression of oxidative phosphorylation, which in turn controls the balance between self-renewal and differentiation of ISCs. Deletion of miR-29a/b prevents these effects and thus impairs ISC-mediated epithelial recovery. Finally, we filter the potential targets of miR-29a/b and identify Hnf4g, a transcription factor, that drives this metabolic reprogramming through regulating FAO-related enzymes. Our work discovers an important metabolic mechanism of ISC-mediated regeneration and potentially pave the way for more targeted and effective therapeutic strategies for intestinal repair as well as tumor treatment.

Abstract The impact of climate change on medicinal plants has significantly altered their suitable environments, thereby affecting the quality of herbal medicines. Notopterygium franchetii (N. franchetii), a medicinal plant intricately linked to its natural habitat, exhibits substantial quality variations influenced by the ecological conditions of its native region. In this study, comprehensive field surveys were conducted to gather occurrence records and samples of N. franchetii. The Maxent model and ArcGIS software were employed to predict the suitable habitats of N. franchetii during different time periods. A high-performance liquid chromatography (HPLC) method was developed to establish the chemical fingerprints of 21 sample batches. Fourteen common peaks were subjected to cluster analysis, principal component analysis, and orthogonal partial least squares-discriminant analysis. The findings revealed quality variations correlated with their geographic origins, identifying peaks 10, 1, 14, 3, and 4 as crucial for quality differentiation. The study indicates that precipitation, temperature, and altitude significantly influence the distribution of N. franchetii. Under current climate conditions, the suitable habitat area for N. franchetii is estimated to be approximately 94,637.33 km2. However, projections under three future climate scenarios suggest a declining trend in suitable habitat areas. A quality zoning map of N. franchetii was developed, integrating a correlation model between chemical composition and environmental variables with the spatial analysis and visualization capabilities of ArcGIS. The high-quality regions for N. franchetii are predominantly located in the Gannan, Linxia, Dingxi, Longnan, and Wuwei districts. These research outcomes offer a valuable reference for identifying suitable cultivation areas and assessing the quality of N. franchetii in Gansu Province.

Abstract With global climate change, ecosystems are affected, some of which are more vulnerable than others, such as alpine ecosystems. Microbes play an important role in environmental change in global ecosystems. Plants and microbes are tightly associated, and symbiotic or commensal microorganisms are crucial for plants to respond to stress, particularly for alpine plants. The current study of alpine and subalpine plant microbiome only stays at the community structure scale, but its ecological function and mechanism to help plants to adapt to the harsh environments have not received enough attention. Therefore, it is essential to systematically understand the structure, functions and mechanisms of the microbial community of alpine and subalpine plants, which will be helpful for the conservation of alpine and subalpine plants using synthetic microbial communities in the future. This review mainly summarizes the research progress of the alpine plant microbiome and its mediating mechanism of plant cold adaptation from the following three perspectives: (1) Microbiome community structure and their unique taxa of alpine and subalpine plants; (2) The role of alpine and subalpine plant microbiome in plant adaptation to cold stress; (3) Mechanisms by which the microbiome of alpine and subalpine plants promotes plant adaptation to low-temperature environments. Finally, we also discussed the future application of high-throughput technologies in the development of microbial communities for alpine and subalpine plants. The existing knowledge could improve our understanding of the important role of microbes in plant adaptation to harsh environments. In addition, perspective further studies on microbes’ function confirmation and microbial manipulations in microbiome engineering were also discussed.

Abstract Aims/Introduction To assess whether the sodium–glucose cotransporter 2 inhibitor, henagliflozin, improves cognitive impairment in patients with type 2 diabetes. Materials and Methods We carried out a prospective study on 290 patients with type 2 diabetes and cognitive impairment. Montreal Cognitive Assessment scores and plasma phosphorylated tau181 levels were used to assess cognition. The association between henagliflozin use and changes in cognition was examined using multivariable logistic regression analysis. Results Montreal Cognitive Assessment scores at enrollment and after 6 months were 21 (interquartile range [IQR]19–23) versus 22 (IQR 20–25; P 0.05) in the non‐sodium–glucose cotransporter 2 inhibitor group. Logistic regression analysis showed that henagliflozin treatment was associated with Montreal Cognitive Assessment score improvement independent of potential confounders (odds ratio [OR] 3.670, 95% confidence interval [CI] 2.224–6.056, P

Abstract Background Childhood emotional maltreatment, non-suicidal self-injury and depression are prevalent among adolescents with mood disorders. While existing model indicated that childhood emotional maltreatment, functions of non-suicidal self-injury and depression are interrelated, not much is understood about the interplay of functions of non-suicidal self-injury in the relationship between childhood emotional maltreatment and depression. Thus, the goal of this research was to ascertain how functions of non-suicidal self-injury relate to childhood emotional maltreatment and depression. Methods The participants were adolescents with mood disorders from three hospitals in Sichuan Province, data was collected using self-administered questionnaires, including the Childhood Trauma Questionnaire, Ottawa Self-injury Inventory-Functions, and Childhood Depression Inventory. SPSS26.0 software and PROCESS v3.3 model 4 were used for analysis. Results In all, 235 adolescents (M age=14.8, SD = 1.62) participated in the research. The functions of non-suicidal self-injury (r = 0.289, P

Abstract Background The prevalence of non-small cell lung cancer (NSCLC) is notably elevated in individuals diagnosed with idiopathic pulmonary fibrosis (IPF). Secreted phosphoprotein 1 (SPP1), known for its involvement in diverse physiological processes, including oncogenesis and organ fibrosis, has an ambiguous role at the intersection of IPF and NSCLC. Our study sought to elucidate the function of SPP1 within the pathogenesis of IPF and its subsequent impact on NSCLC progression. Methods Four GEO datasets was analyzed for common differential genes and TCGA database was used to analyze the prognosis. The immune infiltration was analyzed by TIMER database. SPP1 expression was examined in human lung tissues, the IPF fibroblasts and the BLM-induced mouse lung fibrosis model. Combined with SPP1 gene gain- and loss-of-function, qRT-PCR, Western blot, EdU and CCK-8 experiments were performed to evaluate the effects and mechanisms of SPP1 in IPF progression. Effect of SPP1 on NSCLC was detected by co-cultured IPF fibroblasts and NSCLC cells. Results Through bioinformatics analysis, we observed a significant overexpression of SPP1 in both IPF and NSCLC patient datasets, correlating with enhanced immune infiltration of cancer-associated fibroblasts in NSCLC. Elevated levels of SPP1 were detected in lung tissue samples from IPF patients and bleomycin-induced mouse models, with partial colocalization observed with α-smooth muscle actin. Knockdown of SPP1 inhibits TGF-β1-induced differentiation of fibroblasts to myofibroblasts and the proliferation of IPF fibroblasts. Conversely, SPP1 overexpression promoted IPF fibroblast proliferation via PI3K/Akt/mTOR pathway. Furthermore, IPF fibroblasts promoted NSCLC cell proliferation and activated the PI3K/Akt/mTOR pathway; these effects were attenuated by SPP1 knockdown in IPF fibroblasts. Conclusions Our findings suggest that SPP1 functions as a molecule promoting both fibrosis and tumorigenesis, positioning it as a prospective therapeutic target for managing the co-occurrence of IPF and NSCLC.

Abstract Background Previous studies have indicated that social connectedness can serve as a protective buffer against negative outcomes associated with online victimization. However, the role of social connectedness between Internet gaming disorder and somatic symptoms is still unclear. This study aims to examine the mediating effect of social connectedness on the association between Internet gaming disorder and somatic symptoms. Methods A cross-sectional design was utilized, using questionnaires for data collection and multi-stage stratified cluster sampling. The general demographic questionnaire, Nine-Item Internet Gaming Disorder Scale–Short Form, Social Connectedness Scale-Revised and Patient Health Questionnaire Physical Symptoms were used to collect data. We adopted Pearson’s correlation analysis and the PROCESS Macro Model in regression analysis to explore the relationships among Internet gaming disorder, social connectedness and somatic symptoms. Results Internet gaming disorder was positively correlated with somatic symptoms (r = 0.20, P

The paper addresses the challenges of task migration and resource allocation in heterogeneous cloud–edge environments, where dynamic and stochastic conditions complicate efficient scheduling. To tackle this, the authors propose a novel scheduling algorithm combining soft actor–critic (SAC) agent with masked layer and graph convolutional network (GCN), namely MGSAC algorithm. MGSAC utilizes GCN to extract hidden structural features from the environment, enabling better adaptation to dynamic changes. Additionally, a learnable mask layer filters out ineffective actions, refining the selection of scheduling strategies and improving overall performance. By evaluating MGSAC on the real-world Bit-Brain dataset and simulating it using Cloud-Sim, experimental results demonstrate its superiority over existing algorithms in energy consumption, task response time, task migration time, and task Service-Level-Agreement violations rate, showcasing its effectiveness in real-world scenarios.

Abstract Nutritional intervention can greatly benefit people who suffer from side effects of medical treatments by improving intestinal post‐damage recovery. The recovery process is dependent on the regeneration of intestinal epithelial cells, which is driven by Lgr5+ intestinal stem cells (ISCs). Lactoferrin (LF) is a natural milk‐abundant protein with several gut health‐related functions such as antibacterial and immunoregulation activities, thus protecting intestine from damage. However, it is unclear whether LF also plays a role in the repair of the injured intestine, despite limited clues on its ability to modulate intestinal epithelial cell growth in vitro. Here, we show that LF accelerates intestinal epithelial recovery after both dextran sulfate sodium challenge on mice and TNF‐α treatment on intestinal organoids. Furthermore, we find LF gives rise to ISC‐mediated epithelial regeneration by directly activating the Lgr5+ stem cells. Finally, we identify Lrp5/Wnt signaling as the key pathway for LF‐enhancing ISC stemness and function. Overall, our study reveals the potential of LF as a nutrient that can be applied to promote intestinal healing.

Abstract This study aimed to assess the potential of home monitoring using a monitoring application for the early prediction of acute exacerbations (AEs) in patients with fibrosing interstitial lung diseases (F-ILDs) by tracking symptoms, peripheral blood oxygen saturation (SpO2), and heart rate (HR). Data on symptoms, SpO2, and HR before and after a 1-min sit-to-stand test (1STST) were collected using an online home monitoring application. Symptoms were recorded at least 3 times a week, including cough intensity and frequency (Cough Assessment Test scale (COAT) score), breathlessness grade (modified Medical Research Council (mMRC) score), and SpO2 and HR before and after 1STST. Eighty-five patients with stable F-ILDs were enrolled. We observed a significant increase in COAT and mMRC scores, alongside a significant decrease in SpO2 before and after 1STST, 2 weeks before the first recorded AE. Furthermore, a combination of variables-an increase in COAT (≥ 4) and mMRC(≥ 1) scores, a decrease in SpO2 at rest (≥ 5%), and a decrease in SpO2 after 1STST (≥ 4%)- proved the most effective in predicting AE onset in patients with F-ILDs at 2 weeks before the first recorded AE. Home telemonitoring of symptoms, SpO2 holds potential value for early AE detection in patients with F-ILDs.

In China, despite the continuous efforts to preserve traditional villages in recent years, a significant amount of cultural heritages continue to vanish. Commonly observed issues such as the lack of coordination between preservation and development, the imbalance in spatial environment conservation and utilization, are pervasive. Regrettably, there is a conspicuous absence of theoretical underpinning in addressing these challenges. In this study, The evaluation factor of spatial environmental protection was selected, and these factors were weighted through expert surveys and the Analytic Hierarchy Process, and applied the multi-objective linear weighting function method to obtain a comprehensive evaluation calculation formula. Subsequently, we conducted an assessment of 28 representative traditional villages in the southern Chinese regions of Guangdong, Fujian, and Jiangxi. Their current issues were systematically analyzed and cluster analysis was applied to discern 11 distinct typologies of traditional village development. Besides, the temporal evolution patterns of these villages were delved into, and their development were categorized into five stages: initiation, enhancement, prosperity, over-development, and decline. Ultimately, based on the spatial environment characteristics of each development type and evolution stage, corresponding guidelines for spatial environment conservation and utilization are proposed, which provides necessary theoretical frameworks for future work this region.

Abstract The HBV core protein (HBc) is an important viral protein of HBV that plays an indispensable role in the lifecycle of HBV, including capsid assembly and transport, reverse transcription and virus release. In recent years, evidence has shown that HBc may be involved in the malignant progression of HCC. Thus, HBc is an attractive target for antiviral agents and provides a new strategy for the treatment of HBV-related HCC. Here, we identified a novel anti‐HBc compound—colchicine, an alkaloid compound—that promoted selective autophagic degradation of HBc through the AMPK/mTOR/ULK1 signalling pathway. We further confirmed that colchicine promoted the selective autophagy of HBc by enhancing the binding of HBc to the autophagy receptor p62. Finally, we evaluated the effects of colchicine on HBV replication and HBc-mediated HCC metastasis in vitro and in vivo. Our research indicated that the inhibitory effects of colchicine on HBV and HBV-related HCC depend on the selective autophagic degradation of HBc. Thus, colchicine is not only a promising therapeutic strategy for chronic hepatitis B but also a new treatment for HBV-related HCC.

Abstract Astragaloside IV, a prime active component of Astragalus membranaceus, has potential as a neuroprotectant. We aimed to identify the active ingredients in A. membranaceus and assess if Astragaloside IV can improve cerebral ischemia-reperfusion injury (CIRI) cell apoptosis by reducing P-Src and P-GRK2 via ryanodine receptor (RyR) expression inhibition. We used bioinformatics analysis to examine the effects of A. membranaceus on ischemic stroke. We studied brain samples from middle cerebral artery occlusion (MCAO) mice treated with normal saline, Astragaloside IV, and sham mice for pathology and Western blot tests. We also tested PC12 cells in vitro with or without Astragaloside IV or GSK180736A using Western blotting and fluorescence assays. Our bioinformatics analysis suggested a possible association between A. membranaceus, calcium ion pathways, and apoptosis pathways. Western blot data indicated Astragaloside IV significantly decreased RyR, p-Src, and downstream phosphorylated GRK2, PLC, CaMKII, and IP3R levels in MCAO mice brains. Astragaloside IV also considerably inhibited pro-apoptotic and oxidative stress-associated proteins’ expression while boosting anti-apoptotic protein expression. The results suggest Astragaloside IV can inhibit RyR expression, subsequently reducing brain cell apoptosis.

Abstract Background The impact of exercise dosages based on American College of Sports Medicine(ACSM) recommendations on lipid metabolism in patients after PCI remains unclear. This study conducted a meta-analysis of reported exercise dosages from the literature to address this knowledge gap. Methods A comprehensive search of databases was conducted to identify eligible randomized controlled studies of exercise interventions in patients after PCI, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Based on the recommended exercise dosages from ACSM for patients with coronary heart disease, exercise doses in the literature that met the inclusion criteria were categorized into groups that were highly compliant with ACSM recommendations and those with low or uncertain ACSM recommendations. The topic was the effect of exercise dose on lipid metabolism in post-PCI patients. This was assessed using standardized mean difference (SMD) and 95% confidence intervals (95% CI) for changes in triglycerides, total cholesterol, LDL, and HDL. Results This systematic review included 10 randomized controlled studies. The subgroup analysis revealed statistically significant differences in the high compliance with ACSM recommendations group for triglycerides [SMD=-0.33 (95% CI -0.62, -0.05)], total cholesterol [SMD=-0.55 (95% CI -0.97, -0.13)], low-density lipoprotein [SMD=-0.31 (95% CI -0.49, -0.13)], high-density lipoprotein [SMD = 0.23 (95% CI 0.01, 0.46)], and body mass index [SMD=-0.52 (95% CI -0.87, -0.17)]. Compared to the low or uncertain compliance with ACSM recommendations group, the high compliance group exhibited significant differences in improving TC levels (-0.55(H) vs. -0.46(L)), HDL levels (0.23(H) vs. 0.22(L)), and BMI (-0.52(H) vs. -0.34(L)). Conclusions This study supports that high compliance with ACSM-recommended exercise dosages has significant impacts on improving TC levels, HDL levels, and BMI. However, no advantage was observed for TG or LDL levels.

Abstract Background This study aimed to investigate risk factors for acute exacerbation of idiopathic pulmonary fibrosis (AE-IPF) based on baseline high-resolution computed tomography (HRCT). Methods This prospective observational study enrolled patients with IPF treated at the General Hospital of Ningxia Medical University between January 2019 and January 2021. HRCT-derived quantitative parameters at baseline were analyzed. Results A total of 102 patients [92 (90.2%) males with a mean age of 67 years] with IPF were included, with a median follow-up of 32 (24-40.5) months. AE occurred in 30 (29.4%) IPF patients. Multivariable logistic regression analysis identified Doppler transthoracic echocardiography suggestive of pulmonary hypertension (PH) (13.43; 95% CI: 4.18–41.09; P

Abstract Aberrant RNA editing has emerged as a pivotal factor in the pathogenesis of hepatocellular carcinoma (HCC), but the impact of RNA co-editing within HCC remains underexplored. We used a multi-step algorithm to construct an RNA co-editing network in HCC, and found that HCC-related RNA editings are predominantly centralized within the network. Furthermore, five pairs of risk RNA co-editing events were significantly correlated with the overall survival in HCC. Based on presence of risk RNA co-editings resulted in the categorization of HCC patients into high-risk and low-risk groups. Disparities in immune cell infiltrations were observed between the two groups, with the high-risk group exhibiting a greater abundance of exhausted T cells. Additionally, seven genes associated with risk RNA co-editing pairs were identified, whose expression effectively differentiates HCC tumor samples from normal ones. Our research offers an innovative perspective on the etiology and potential therapeutics for HCC.

Regular physicochemical and microbiological properties and volatile flavors of Sichuan Wu xiang-style sausages collected from Chengdu City were analyzed and used to reveal the quality characteristics of Sichuan Wu xiang-style sausage. The results showed that moisture content was 11.73%±1.64%, pH value was 5.68±0.06, TBARS value was 1.47±0.48 mg/kg, nitrite content was 1.31±0.12 mg/kg, and L*, a*, and b* was 48.12±1.46, 16.08±0.91, 18.31±0.73 respectively. The aerobic plate count, suspected staphylococci count, suspected lactic acid bacteria count, and Enterobacteriaceae count was 7.09±0.14, 5.74±0.23, 7.64±0.14 and 4.27±0.15 lg CFU/g, respectively. 97 kinds of volatile compounds were totally detected from Sichuan Wu xiang-style sausage samples, and 22 shared volatile compounds with odor activity value (OAV) greater than 1 were regarded as the main volatile flavors. Furthermore, it was showed that (+)-limonene, linalool and artemisia brain contributed most to the typical flavor of Wu xiang-style sausage through the loading plot of principal component analysis, imparting citrus, mint, floral, lavender, liquorice, and aniseed odors. The results obtained revealed the main volatile compounds and typical flavor characteristics of Sichuan Wu xiang-style sausage, and laid foundations for further researches on the flavor characteristics of Sichuan Wu xiang-style sausage.

Abstract Background Boars fed a mixed form of inorganic and organic iron in excess of the NRC recommended levels still develop anemia, which suggested that the current level and form of iron supplementation in boar diets may be inappropriate. Therefore, 56 healthy Topeka E line boars aged 15–21 months were randomly divided into 5 groups: basal diet supplemented with 96 mg/kg ferrous sulfate (FeSO4) and 54 mg/kg glycine chelated iron (Gly-Fe, control); 80 mg/kg or 115 mg/kg Gly-Fe; 80 mg/kg or 115 mg/kg methionine hydroxyl analogue chelated iron (MHA-Fe, from Calimet-Fe) for 16 weeks. The effects of dietary iron supplementation with different sources and levels on semen quality in boars were investigated. Results 1) Serum Fe and hemoglobin concentrations were not affected by reduced dietary iron levels in the 80 mg/kg or 115 mg/kg Gly-Fe and MHA-Fe groups compared with the control group (P > 0.05). 2) Serum interleukin-6 (IL-6) and sperm malondialdehyde (MDA) levels in the 80 mg/kg or 115 mg/kg MHA-Fe groups were lower than those in the control group (P

Background Primary myelofibrosis (PMF) is the most advanced subtype among the classic Philadelphia chromosomenegative myeloproliferative neoplasms (MPNs). A majority of patients carry one of three mutually-exclusive somatic driver mutations: JAK2 (60–65%), CALR (20–25%), or MPL (5%). Co-occurrence of these mutations is rarely reported. Here we report a case with a triple positive combination of JAK2, CALR and MPL driver mutations.Case presentation A 69-year-old male was admitted to hospital for acute exacerbation of chronic obstructive pulmonary disease (COPD) and was found to have splenomegaly and leukocytosis. Nextgeneration revealed JAK2, CALR, MPL mutations, and additional variants in SF3B1, SRSF2, and STAG2. The patient was diagnosed with PMF and treated with ruxolitinib and COPD therapy. Due to nausea, the ruxolitinib dose was reduced. After therapy, spleen volume decreased and hematologic responses were poor. Another genetic mutation of ASXL1 was later found. After adjusting the medication and adding antiemetics, the patient's condition improved.Conclusions The rare coexistence of JAK2, CALR, and MPL mutations challenges the assumption of their mutual exclusivity. Further study of these mutations is essential for developing better treatment strategies.

Objective High serum levels of B-cell activation factor (BAFF) and a proliferation-inducing ligand (APRIL) have been observed in patients with idiopathic membranous nephropathy (iMN); however, their relationships with disease severity and progression remain unclear.Methods Patients with iMN diagnosed via renal biopsy were enrolled in this study. The concentrations of BAFF and APRIL were determined using ELISA kits. Proteinuria remission, including complete remission (CR) and partial remission (PR), and renal function deterioration were defined as clinical events. The Cox proportional hazards method was used to analyze the relationship between cytokine levels and disease progression.Results Seventy iMN patients were enrolled in this study, with a median follow-up time of 24 months (range 6–72 months). The serum levels of BAFF and APRIL were higher in iMN patients than in healthy controls but lower than those in minimal change disease (MCD) patients. The serum BAFF level was positively correlated with the serum APRIL level, serum anti-phospholipase A2 receptor (anti-PLA2R) antibody level, and 24-h proteinuria and negatively correlated with the serum albumin (ALB) level. However, no significant correlation was observed between the serum APRIL level and clinical parameters. According to the multivariate Cox proportional hazards regression model adjusted for sex, age, systolic blood pressure (SBP), estimated glomerular filtration rate (eGFR), immunosuppressive agent use, 24-h proteinuria, APRIL level, and anti-PLA2R antibody, only the serum BAFF level was identified as an independent predictor of PR (HR, 0.613; 95% CI, 0.405–0.927; p = 0.021) and CR of proteinuria (HR, 0.362; 95% CI, 0.202–0.648; p

ABSTRACTObjectives: Relapsed/refractory acute B-cell lymphoblastic leukemia (R/R B-ALL) often responds poorly to induction chemotherapy. However, recent research has shown a novel and effective drug treatment for R/R B-ALL.Methods: A total of eight patients with R/R B-ALL were enrolled in the study from November 2021 to August 2022. All patients received chemotherapy based on a combination regimen of venetoclax and azacitidine. The regimen was as follows venetoclax 100 mg d1, 200 mg d2, 400 mg d3–14, azacitidine 75 mg/m2 d1–7.Results: Five of eight patients achieved very deep and complete remission (CR) with minimal residual disease (MRD) less than 0.1%. One patient achieved partial remission. Two patients did not achieve remission. There were no serious adverse events and all patients were well tolerated. Three patients were eligible for consolidation chemotherapy and were bridged to CAR-T therapy.Conclusions: The combined regimen of venetoclax and azacitidine may be beneficial for patients with R/R B-ALL.

According to the infrared patch image (IPI) model theory, the infrared image background has a low rank and the target is sparse. The low-rank model can be used to separate the background and identify the target. However, in a noisy environment, the recognition effect will be affected. The higher the noise, the harder it would be to detect a small target. The residual strong fault and background edges could reduce the detection rate and increase false alarms. The traditional IPI model is adaptable to the background with the lower noise. This paper combines weighted nuclear norm minimization (WNNM) optimization with sparse representation based on the local IPI model. The background details are described more prominently by improving the nuclear norm weighting factor. The target is much easier to detect under the specific bright clouds and ground buildings background with high noise. At the same time, post-processing with image local contrast analysis is performed to compare traditional spatial filtering and local infrared patch image model algorithms. Our method has a good suppression effect on complex noise backgrounds and achieves a higher signal to clutter ratio gain (SCRG). It could also improve the target detection rate and reduce false alarms.

BackgroundSynbiotics, combining specific probiotics and selected prebiotics, may benefit health issues like obesity, but evidence remains inconsistent.ObjectiveThis study aimed to verify the effect of a pre-screened synbiotics combination [containing Bifidobacterium animalis subsp. lactis MN-Gup (MN-Gup), galacto-oligosaccharides (GOS) and xylo-oligosaccharides (XOS)] on obesity in the population.MethodsIn a randomized, double-blind, placebo-controlled trial, 80 individuals with obesity consumed daily synbiotics (containing MN-Gup 1 × 1011 CFU/day, GOS 0.7 g/day, and XOS 0.7 g/day) or placebo for 12 weeks. Body composition, blood lipids, serum hormone, bile acids, and gut microbiota were measured pre-and post-intervention.ResultsSynbiotics supplementation significantly decreased body fat percentage, waist, and serum low-density lipoprotein cholesterol (LDL-C), increased peptide YY, cholecystokinin, oxyntomodulin, GSH (glutathione peroxidase) in individuals with obesity. Additionally, synbiotic supplementation led to an enrichment of beneficial bacteria and bile acids chenodeoxycholic acid (CDCA). Bifidobacterium and Romboutsia were significantly positively correlated with CDCA. A more favorable effect was observed in individuals with obesity and abnormal LDL-C compared to those without dyslipidemia.ConclusionTwelve-week synbiotics intervention reduced body fat percentage, waist, and serum LDL-C, especially in individuals with obesity and abnormal LDL-C. The possible mechanisms may be related to changes in gut microbiota, bile acids and gut hormones.Clinical trial registrationChictr.org.cn, identifier ChiCTR2200064156.

ObjectiveThe Mediterranean diet (MedDiet) has been found to have benefits for diabetes mellitus (DM), but a bibliometric analysis of its association with DM has yet to be conducted. This paper aims to explore the current status and research hotspots on the connection between the Mediterranean diet and DM from 2014 to 2024, providing a reference for future studies.MethodsWe retrieved articles published between 2014 and 2024 from the Web of Science database and analyzed them using R software, VOSviewer, and CiteSpace.ResultsA total of 2,806 articles were included in this study. Research on the relationship between the MedDiet and DM showed a steady increase in publication volume from 2014 to 2019, followed by a sharp rise from 2020 to 2023. Spain was the leading country in terms of publication volume, followed by Italy, the United States, China, and Greece. Spain also led in international collaborations, with CIBER—Centro de Investigación Biomédica en Red and Harvard University being the most prominent collaboration centers. Nutrients was the most frequently published and cited journal in this field. Common keywords in this literature included components such as olive oil, legumes, and red wine. Mechanisms studied in this field primarily focused on antioxidant effects, improvements in insulin sensitivity and secretion, regulation of lipid metabolism, and modulation of gut microbiota.ConclusionResearch on the beneficial effects of the MedDiet on DM patients has garnered significant attention from researchers worldwide, and it is expected to become a major focus for future DM prevention and treatment. This study provides a comprehensive analysis of the current status and research hotspots regarding the relationship between the MedDiet and DM, offering valuable references for future research.

Abstract Diabetes, a metabolic disorder characterized by hyperglycemia, underscores the importance of normal pancreatic β‐cell development and function in maintaining glucose homeostasis. Poly(A)‐specific ribonuclease (PARN) serves as the principal regulator of messenger RNA (mRNA) stability, yet its specific role in pancreatic β cells remains unclear. This study utilizes mice with targeted PARN deficiency in β cells to elucidate this role. Notably, Parn conditional knockout mice present unaltered β‐cell development and insulin sensitivity but reduced glucose‐stimulated insulin secretion (GSIS). The observed outcomes are corroborated in NIT‐1 cells. Furthermore, transcriptomic analyses reveal aberrant mRNA expression of genes crucial for insulin secretion in PARN‐deficient β cells. Insights from linear amplification of complementary DNA ends and sequencing and coimmunoprecipitation experiments reveal an interaction between PARN and polypyrimidine tract‐binding protein 1 (PTBP1), regulating the RNA stability of solute carrier family 30, member 8 (Slc30a8) and carbohydrate sulfotransferase 3 (Chst3). Interference with either PARN or PTBP1 disrupts this stability. These data indicate that PARN deficiency hampers GSIS and insulin maturation by destabilizing Slc30a8 and Chst3 RNAs. These findings provide compelling evidence indicating that PARN is a potential therapeutic target for enhancing insulin maturation and secretion.

IntroductionThe XuLing JianGu recipe (XLJGR) is an empirical traditional Chinese medicine formula used for the treatment of osteoporosis. This study aims to explore the effects of XLJGR on the intestinal microbiota composition and endogenous metabolites in ovariectomized (OVX) rats.MethodsAn OVX rat model was established to evaluate the intervention effects of XLJGR. The measured indicators included bone density, serum bone metabolism markers, and an analysis of the types and abundances of intestinal microbiota, along with changes in endogenous metabolites. Additionally, MC3T3-E1 cells were used to validate the differential metabolites.ResultsXLJGR significantly reduced the abundance of Bacteroides, Butyricicoccus, and other bacterial strains in the gut. KEGG metabolic pathway enrichment analysis showed that XLJGR intervention led to notable changes in pathways such as peptidoglycan biosynthesis, carbapenem biosynthesis, and vancomycin resistance. Moreover, XLJGR significantly upregulated key intestinal microbiota metabolites, including gabapentin(GAB), camphoric acid(CAA), and nonanedioic acid(AZA), thereby promoting the proliferation and osteogenic differentiation of MC3T3-E1 cells.DiscussionThis study highlights the potential biomedical applications of XLJGR in promoting bone health by positively affecting intestinal microbiota and metabolic characteristics. These findings suggest that XLJGR may serve as a viable alternative in the treatment of osteoporosis, warranting further exploration of its therapeutic mechanisms and clinical applications.

BackgroundHepatocellular carcinoma (HCC) ranks among the most prevalent and lethal malignancies worldwide. Histone modifications (HMs) play a pivotal role in the initiation and progression of HCC. However, our understanding of HMs in HCC remains limited due to the disease’s heterogeneity and the complexity of HMs.MethodsWe integrated multi-omics data from multiple cohorts, including single-cell RNA sequencing, bulk RNA sequencing, and clinical information. Weighted gene co-expression network analysis (WGCNA) and consensus clustering were employed to identify histone-related genes. We developed a histone modification-related signature (HMRS) using 117 machine learning methods. Comprehensive analyses of molecular characteristics, immune landscape, and drug sensitivity associated with the HMRS were performed.ResultsThrough integrative analysis, we defined 110 histone-related genes and identified 45 HCC-HM-related genes (HCC-HMRgenes). The HMRS demonstrated robust prognostic value across multiple cohorts. Patients with high HMRS scores exhibited distinct genomic alterations, including higher tumor heterogeneity and TP53 mutations. The high-risk group showed enrichment in cell cycle, DNA repair, and metabolic pathways. Immune landscape analysis revealed significant differences in immune cell infiltration and pathway activities between high- and low-risk groups. Drug sensitivity prediction suggested potential therapeutic strategies for different risk groups.ConclusionOur study provides a comprehensive understanding of HMs in HCC and establishes a robust prognostic signature. The HMRS not only stratifies patients into distinct risk groups but also offers insights into underlying molecular mechanisms, immune characteristics, and potential therapeutic strategies, paving the way for personalized medicine in HCC.

The gut microbiota is implicated in the pathogenesis of hyperuricemia (HUA) and gout. However, it remains unclear whether probiotics residing in the host gut, such as Lactobacillus, can prevent HUA development. Herein, we isolated Lactobacillus plantarum SQ001 from the cecum of HUA geese and conducted in vitro assays on uric acid (UA) and nucleoside co-culture. Metabolomics and genome-wide analyses, revealed that this strain may promote nucleoside uptake and hydrolysis through its nucleoside hydrolase gene. The functional role of iunH gene was confirmed via heterologous expression and gene knockout studies. Oral administration of L. plantarum SQ001 resulted in increased abundance of Lactobacillus species and reduced serum UA levels. Furthermore, it downregulated hepatic xanthine oxidase, a key enzyme involved in UA synthesis, as well as renal reabsorption protein GLUT9, while enhancing the expression of renal excretion protein ABCG2. Our findings suggest that L. plantarum has potential to ameliorate gut microbial dysbiosis with HUA, thereby offering insights into its potential application as a probiotic therapy for individuals with HUA or gout.

Abstract Background The immunoglobulin superfamily protein Trem2 (triggering receptor expressed on myeloid cells 2) is primarily expressed on myeloid cells where it functions to regulate macrophage‐related immune response induction. While macrophages are essential mediators of diabetic wound healing, the specific regulatory role that Trem2 plays in this setting remains to be established. Objective This study was developed to explore the potential importance of Trem2 signalling in diabetic wound healing and to clarify the underlying mechanisms through which it functions. Methods and results Following wound induction, diabetic model mice exhibited pronounced upregulation of Trem2 expression, which was primarily evident in macrophages. No cutaneous defects were evident in mice bearing a macrophage‐specific knockout of Trem2 (T2‐cKO), but they induced more pronounced inflammatory responses and failed to effectively repair cutaneous wounds, with lower levels of neovascularization, slower rates of wound closure, decreased collagen deposition following wounding. Mechanistically, we showed that interleukin (IL)‐4 binds directly to Trem2, inactivating MAPK/AP‐1 signalling to suppress the expression of inflammatory and chemoattractant factors. Co‐culture of fibroblasts and macrophages showed that macrophages from T2‐cKO mice suppressed the in vitro activation and proliferation of dermal fibroblasts through upregulation of leukaemia inhibitory factor (Lif). Injecting soluble Trem2 in vivo was also sufficient to significantly curtail inflammatory responses and to promote diabetic wound healing. Conclusions These analyses offer novel insight into the role of IL‐4/Trem2 signalling as a mediator of myeloid cell‐fibroblast crosstalk that may represent a viable therapeutic target for efforts to enhance diabetic wound healing.

Social animals frequently exhibit huddling sleep behaviors in response to nocturnal ecological pressures. However, there remain significant gaps in our understanding of the decision-making process promoting huddle sleep. Exploring how such decision-making processes are initiated and programmed in nonhuman primates offers additional insights into various animals, with a particular focus on humans. The present research examined the social factors and individual influences involved in initiating huddle sleep among a population of wild Tibetan macaques (Macaca thibetana) at Mt. Huangshan in Anhui, China. The results showed that social rank, age, and social centrality were involved in the decision-making process for huddle sleep. Individuals with higher rank and greater social centrality not only tended to act as leaders but also frequently took on followers. Younger individuals were more inclined to be followers. If an individual consistently followed a specific member during huddles, we referred to her/him as a fan. Individuals with more fans (fandom) and those that were consistently fans of others were also more socially central in their group. Such different selection factors fostered coordination among individuals and promoted huddle formation. The study has enhanced our understanding of nocturnal huddling behavior in social nonhuman primates and the intricate mechanisms involved in decision-making. The findings provide valuable insights into the sleep behavior of wild animals, thereby increasing our understanding of how monkeys maintain long-term survival. The analysis of sleep behavior has significant theoretical and practical implications for the conservation of Tibetan macaques.

As people live longer, the burden of aging-related brain diseases, especially dementia, is increasing. Brain aging increases the risk of cognitive impairment, which manifests as a progressive loss of neuron function caused by the impairment of synaptic plasticity via disrupting lipid homeostasis. Therefore, supplemental dietary lipids have the potential to prevent brain aging. This review summarizes the important roles of dietary lipids in brain function from both structure and mechanism perspectives. Epidemiological and animal studies have provided evidence of the functions of polyunsaturated fatty acids (PUFAs) in brain health. The results of interventions indicate that phospholipids—including phosphatidylcholine, phosphatidylserine, and plasmalogen—are efficient in alleviating cognitive impairment during aging, with plasmalogen exhibiting higher efficacy than phosphatidylserine. Plasmalogen is a recognized nutrient used in clinical trials due to its special vinyl ether bonds and abundance in the postsynaptic membrane of neurons. Future research should determine the dose-dependent effects of plasmalogen in alleviating brain-aging diseases and should develop extraction and storage procedures for its clinical application.

Mg–3Nd–0.2Zn–0.4Zr (NZ30K, wt.%) alloy is a new kind of high-performance metallic biomaterial. The combination of the NZ30K Magnesium (Mg) alloy and selective laser melting (SLM) process seems to be an ideal solution to produce porous Mg degradable implants. However, the microstructure evolution and mechanical properties of the SLMed NZ30K Mg alloy were not yet studied systematically. Therefore, the fabrication defects, microstructure, and mechanical properties of the SLMed NZ30K alloy under different processing parameters were investigated. The results show that there are two types of fabrication defects in the SLMed NZ30K alloy, gas pores and unfused defects. With the increase of the laser energy density, the porosity sharply decreases to the minimum first and then slightly increases. The minimum porosity is 0.49 ± 0.18%. While the microstructure varies from the large grains with lamellar structure inside under low laser energy density, to the large grains with lamellar structure inside & the equiaxed grains & the columnar grains under middle laser energy density, and further to the fine equiaxed grains & the columnar grains under high laser energy density. The lamellar structure in the large grain is a newly observed microstructure for the NZ30K Mg alloy. Higher laser energy density leads to finer grains, which enhance all the yield strength (YS), ultimate tensile strength (UTS) and elongation, and the best comprehensive mechanical properties obtained are YS of 266 ± 2.1 MPa, UTS of 296 ± 5.2 MPa, with an elongation of 4.9 ± 0.68%. The SLMed NZ30K Mg alloy with a bimodal-grained structure consisting of fine equiaxed grains and coarser columnar grains has better elongation and a yield drop phenomenon.

Abstract Background and aims The cardiotoxicity related to 5-Fluorouracil (5-FU) in cancer patients has garnered widespread attention. The systemic immune-inflammation index (SII) has recently been identified as a novel predictive marker for the development of cardiovascular illnesses in individuals without pre-existing health conditions. However, it remains unclear whether the levels of SII are linked to cardiotoxicity related to 5-FU. This retrospective study aims to fill this knowledge gap by examining the correlation between SII and cardiotoxicity related to 5-FU in a colorectal cancer cohort. Methods The study comprised colorectal cancer patients who received 5-FU-based chemotherapy at the affiliated cancer hospital of Guizhou Medical University between January 1, 2018 and December 31, 2020. After adjustment for confounders and stratification by tertiles of the interactive factor, linear regression analyses, curve fitting and threshold effect analyses were conducted. Results Of the 754 patients included final analysis, approximately 21% (n = 156) of them ultimately experienced cardiotoxicity related to 5-FU. Monocytes (M) was found as an influential element in the interaction between SII and cardiotoxicity related to 5-FU. In the low tertile of M (T1: M ≤ 0.38 × 109/L), increasing log SII was positively correlated with cardiotoxicity related to 5-FU (Odds Ratio [OR], 8.04; 95% confidence interval [95%CI], 1.68 to 38.56). However, a curvilinear relationship between log SII and cardiotoxicity was observed in the middle tertile of M (T2: 0.38 0.52 × 109/L), there was a tendency towards a negative linear correlation between the log SII and cardiotoxicity was observed (OR, 0.85; 95%CI, 0.37 to 1.98). Conclusion Our findings suggest that SII may serve as a potential biomarker for predicting cardiotoxicity related to 5-FU in colorectal cancer patients. SII is an independent risk factor for cardiotoxicity related to 5-FU with low monocytes levels (T1). Conversely, in the middle monocytes levels (T2), SII is a protective factor for cardiotoxicity related to 5-FU but with a threshold effect.

Abstract Objective This study aimed to develop and apply a nomogram with good accuracy to predict the risk of CRAB infections in neuro-critically ill patients. In addition, the difficulties and expectations of application such a tool in clinical practice was investigated. Methods A mixed methods sequential explanatory study design was utilized. We first conducted a retrospective study to identify the risk factors for the development of CRAB infections in neuro-critically ill patients; and further develop and validate a nomogram predictive model. Then, based on the developed predictive tool, medical staff in the neuro-ICU were received an in-depth interview to investigate their opinions and barriers in using the prediction tool during clinical practice. The model development and validation is carried out by R. The transcripts of the interviews were analyzed by Maxqda. Results In our cohort, the occurrence of CRAB infections was 8.63% (47/544). Multivariate regression analysis showed that the length of neuro-ICU stay, male, diabetes, low red blood cell (RBC) count, high levels of procalcitonin (PCT), and number of antibiotics ≥ 2 were independent risk factors for CRAB infections in neuro-ICU patients. Our nomogram model demonstrated a good calibration and discrimination in both training and validation sets, with AUC values of 0.816 and 0.875. Additionally, the model demonstrated good clinical utility. The significant barriers identified in the interview include “skepticism about the accuracy of the model”, “delay in early prediction by the indicator of length of neuro-ICU stay”, and “lack of a proper protocol for clinical application”. Conclusions We established and validated a nomogram incorporating six easily accessed indicators during clinical practice (the length of neuro-ICU stay, male, diabetes, RBC, PCT level, and the number of antibiotics used) to predict the risk of CRAB infections in neuro-ICU patients. Medical staff are generally interested in using the tool to predict the risk of CRAB, however delivering clinical prediction tools in routine clinical practice remains challenging.

Abstract Cloud environment is a virtual, online, and distributed computing environment that provides users with large-scale services. And cloud monitoring plays an integral role in protecting infrastructures in the cloud environment. Cloud monitoring systems need to closely monitor various KPIs of cloud resources, to accurately detect anomalies. However, due to the complexity and highly dynamic nature of the cloud environment, anomaly detection for these KPIs with various patterns and data quality is a huge challenge, especially those massive unlabeled data. Besides, it’s also difficult to improve the accuracy of the existing anomaly detection methods. To solve these problems, we propose a novel Dynamic Graph Transformer based Parallel Framework (DGT-PF) for efficiently detect system anomalies in cloud infrastructures, which utilizes Transformer with anomaly attention mechanism and Graph Neural Network (GNN) to learn the spatio-temporal features of KPIs to improve the accuracy and timeliness of model anomaly detection. Specifically, we propose an effective dynamic relationship embedding strategy to dynamically learn spatio-temporal features and adaptively generate adjacency matrices, and soft cluster each GNN layer through Diffpooling module. In addition, we also use nonlinear neural network model and AR-MLP model in parallel to obtain better detection accuracy and improve detection performance. The experiment shows that the DGT-PF framework have achieved the highest F1-Score on 5 public datasets, with an average improvement of 21.6% compared to 11 anomaly detection models.

Abstract Background Predicting whether Carbapenem-Resistant Gram-Negative Bacterial (CRGNB) cause bloodstream infection when giving advice may guide the use of antibiotics because it takes 2–5 days conventionally to return the results from doctor's order. Methods It is a regional multi-center retrospective study in which patients with suspected bloodstream infections were divided into a positive and negative culture group. According to the positive results, patients were divided into the CRGNB group and other groups. We used the machine learning algorithm to predict whether the blood culture was positive and whether the pathogen was CRGNB once giving the order of blood culture. Results There were 952 patients with positive blood cultures, 418 patients in the CRGNB group, 534 in the non-CRGNB group, and 1422 with negative blood cultures. Mechanical ventilation, invasive catheterization, and carbapenem use history were the main high-risk factors for CRGNB bloodstream infection. The random forest model has the best prediction ability, with AUROC being 0.86, followed by the XGBoost prediction model in bloodstream infection prediction. In the CRGNB prediction model analysis, the SVM and random forest model have higher area under the receiver operating characteristic curves, which are 0.88 and 0.87, respectively. Conclusions The machine learning algorithm can accurately predict the occurrence of ICU-acquired bloodstream infection and identify whether CRGNB causes it once giving the order of blood culture.

Abstract The rapid advancement of microservice architecture in the cloud has led to the necessity of effectively detecting, classifying, and diagnosing run failures in microservice applications. Due to the high dynamics of cloud environments and the complex dependencies between microservices, it is challenging to achieve robust real-time system fault identification. This paper proposes an interpretable fault diagnosis framework tailored for microservice architecture, namely Multi-scale Learnable Transformation Graph for Fault Classification and Diagnosis(MTG_CD). Firstly, we employ multi-scale neural transformation and graph structure adjacency matrix learning to enhance data diversity while extracting temporal-structural features from system monitoring metrics Secondly, a graph convolutional network (GCN) is utilized to fuse the extracted temporal-structural features in a multi-feature modeling approach, which helps to improve the accuracy of anomaly detection. To identify the root cause of system faults, we finally conduct a coarse-grained level diagnosis and exploration after obtaining the results of classifying the fault data. We evaluate the performance of MTG_CD on the microservice benchmark SockShop, demonstrating its superiority over several baseline methods in detecting CPU usage overhead, memory leak, and network delay faults. The average macro F1 score improves by 14.05%.

Abstract Various substances in the blood plasma serve as prognostic indicators of the progression of COVID-19. Consequently, multi-omics studies, such as proteomic and metabolomics, are ongoing to identify accurate biomarkers. Cytokines and chemokines, which are crucial components of immune and inflammatory responses, play pivotal roles in the transition from mild to severe illness. To determine the relationship between plasma cytokines and the progression of COVID-19, we used four study cohorts to perform a systematic study of cytokine levels in patients with different disease stages. We observed differential cytokine expression between patients with persistent-mild disease and patients with mild-to-severe transformation. For instance, IL-4 and IL-17 levels significantly increased in patients with mild-to-severe transformation, indicating differences within the mild disease group. Subsequently, we analysed the changes in cytokine and chemokine expression in the plasma of patients undergoing two opposing processes: the transition from mild to severe illness and the transition from severe to mild illness. We identified several factors, such as reduced expression of IL-16 and IL-18 during the severe phase of the disease and up-regulated expression of IL-10, IP-10, and SCGF-β during the same period, indicative of the deterioration or improvement of patients’ conditions. These factors obtained from fine-tuned research cohorts could provide auxiliary indications for changes in the condition of COVID-19 patients.

Abstract Purpose To determine the correlation between HPV (human papillomavirus) 52 viral load, multiple infections and ThinPrep cytology test (TCT), to inform clinical management of HPV52-positive women after cervical cancer screening. Methods A total of 1,882 female patients who had positive quantitative HPV tests at Yuebei People's Hospital from January 2020 to December 2022, of whom 533 tested positive for HPV52. We excluded patients who combined HPV16 and/or HPV 18 positivity and whom HPV52 viral load could not be calculated. The final enrollment was 488 patients, including 400 NILM, 48 ASC-US, 28 LSIL and 12 HSIL. The HPV test is a quantitative multiplexed fluorescent PCR assay that provides both HPV genotyping and viral load. Results In our study, there were differences in the median distribution of viral loads among various cytological class categories. The risk of TCT results (LSIL or worse) was increased with the increase of HPV52 viral load, for every LOG unit increase in HPV52 viral load, the risk increased by 26.6%. More importantly, we found a nonlinear relationship between HPV52 viral load and TCT results (LSIL or worse) in both single and multiple infections. When the viral load reaches a threshold, the risk of abnormal cytological results increases significantly. Conclusion HPV52 viral load is an independent risk factor for TCT results (LSIL or worse). The relationship between HPV52 viral load and TCT results (LSIL or worse) is not linear. Viral load may be used as a triage indicator for HPV52-positive patients, thus improving the post-screening clinical management of HPV52-positive women.

Abstract Emerging evidence has highlighted that dysregulation of lipid metabolism in clear cell renal cell carcinoma (ccRCC) is associated with tumor development and progression. HIF-2α plays an oncogenic role in ccRCC and is involved in abnormal lipid accumulation. However, the underlying mechanisms between these two phenomena remain unknown. Here, MED15 was demonstrated to be a dominant factor for HIF-2α-dependent lipid accumulation and tumor progression. HIF-2α promoted MED15 transcriptional activation by directly binding the MED15 promoter region, and MED15 overexpression significantly alleviated the lipid deposition inhibition and malignant tumor behavior phenotypes induced by HIF-2α knockdown. MED15 was upregulated in ccRCC and predicted poor prognosis. MED15 promoted lipid deposition and tumor progression in ccRCC. Mechanistic investigations demonstrated that MED15 acts as SREBP coactivator directly interacting with SREBPs to promote SREBP-dependent lipid biosynthesis enzyme expression, and promotes SREBP1 and SREBP2 activation through the PLK1/AKT axis. Overall, we describe a molecular regulatory network that links MED15 to lipid metabolism induced by the SREBP pathway and the classic HIF-2α pathway in ccRCC. Efforts to target MED15 or inhibit MED15 binding to SREBPs as a novel therapeutic strategy for ccRCC may be warranted.

Abstract Objectives This study aims to compare the efficacy of peripheral add multifocal soft contact lenses (SCLs) (excluding bifocal SCLs) with single vision contact lenses or spectacles in controlling myopia progression. Method A comprehensive literature search was conducted in the Pubmed, EMBASE, Web of Science, and Cochrane Library databases until October 2023. The literature was thoroughly screened based on predetermined eligibility criteria. Pooled odds ratios (ORs) were calculated for dichotomous data and weighted mean differences (WMD) for continuous data. Results A total of 11 articles comprising 787 participants were included in this meta-analysis. Our pooled results demonstrated that the peripheral add multifocal SCLs groups exhibited significantly reduced refraction progression (MD = 0.20; 95%CI, 0.14 ∼ 0.27; P

Abstract Background Polycystic ovary syndrome (PCOS) is an endocrinological and metabolic disorder that can lead to female infertility. Lipid metabolomics and proteomics are the new disciplines in systems biology aimed to discover metabolic pathway changes in diseases and diagnosis of biomarkers. This study aims to reveal the features of PCOS to explore its pathogenesis at the protein and metabolic level. Methods We collected follicular fluid samples and granulosa cells of women with PCOS and normal women who underwent in vitro fertilization(IVF) and embryo transfer were recruited. The samples were for the lipidomic study and the proteomic study based on the latest metabolomics and proteomics research platform. Results Lipid metabolomic analysis revealed abnormal metabolism of glycerides, glycerophospholipids, and sphingomyelin in the FF of PCOS. Differential lipids were strongly linked with the rate of high-quality embryos. In total, 144 differentially expressed proteins were screened in ovarian granulosa cells in women with PCOS compared to controls. Go functional enrichment analysis showed that differential proteins were associated with blood coagulation and lead to follicular development disorders. Conclusion The results showed that the differential lipid metabolites and proteins in PCOS were closely related to follicle quality,which can be potential biomarkers for oocyte maturation and ART outcomes.

The uncertainty principle for vector-valued functions of $ L^2({\mathbb{R}}^n, {\mathbb{R}}^m) $ with $ n\ge 2 $ are studied. We provide a stronger uncertainty principle than the existing one in literature when $ m\ge 2 $. The phase and the amplitude derivatives in the sense of the Fourier transform are considered when $ m = 1 $. Based on these definitions, a generalized uncertainty principle is given.

Abstract Background The combination of rituximab and chemotherapy is a first-line treatment for patients with B-cell non-Hodgkin lymphoma. Lenalidomide is an immunomodulatory drug that has shown promising properties and activity in a variety of hematological malignancies. This study evaluated the efficacy and safety of lenalidomide-based regimens in the treatment of B-cell non-Hodgkin lymphoma. Methods The PubMed, Science Direct, ClinicalTrials.gov, and Web of Science databases were searched for relevant studies published up to May 2022. Studies with patients diagnosed with non-Hodgkin B-cell lymphoma, who were randomly assigned to a lenalidomide treatment group or a non-lenalidomide control group were considered for inclusion in this review and meta-analysis. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) of the time-to-event outcomes and risk ratios (RRs) with 95% CIs of dichotomous data were estimated. Results A total of 3593 patients from 10 studies were evaluated. The results of the pooled analysis indicated that the lenalidomide-based regimen was associated with prolonged overall survival (HR, 0.85; 95% CI 0.74–0.97; P = 0.02) and progression-free survival (HR, 0.70; 95% CI 0.57–0.88; P = 0.002). Significant differences were found in the overall response rate (RR, 1.18; 95% CI 1.04–1.33; P = 0.01) and complete response rate (RR, 1.18; 95% CI 1.00–1.39; P = 0.05) between the treatment and control groups. Conclusions Lenalidomide appears to be a promising therapeutic agent that offers the possibility of a novel combination of chemotherapy free regimen for patients with B-cell non-Hodgkin lymphoma.