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Objective: Given the rising incidence of postoperative urinary tract infections (UTIs) in elderly patients with hip fractures and their substantial impact on mortality and functional recovery, identifying accessible predictors for early risk stratification is critical to improving perioperative management. This study aimed to investigate the association between preoperative inflammation/immune markers and the occurrence of postoperative UTIs in the vulnerable population. Methods: This study examined elderly patients who underwent hip surgery for hip fractures at our institution from March 2014 to June 2024. Preoperative inflammation/immune markers such as the neutrophil‐to‐lymphocyte ratio (NLR), platelet‐to‐lymphocyte ratio (PLR), and systemic immune inflammation index (SII) were measured. Receiver operating characteristic (ROC) curves were used to identify optimal cutoff values for each marker. To control the potential confounding factors, multivariate logistic regression analysis and propensity score matching analysis were conducted, resulting in adjusted odds ratios (ORs) and 95% confidence intervals (CIs) to assess the strength of the association between each marker and UTIs. Results: A total of 1238 patients were included in this study, of whom 287 (23.18%) developed postoperative UTIs. Among elderly hip fracture patients, NLR demonstrated the highest predictive value for postoperative UTIs compared to PLR and SII (area under the curve [AUC] = 0.608, 95% CI: 0.571–0.645). High NLR (OR = 1.57, 95% CI: 1.16–2.13), high PLR (OR = 1.59, 95% CI: 1.16–2.19), and high SII (OR = 1.75, 95% CI: 1.29–2.37) were significantly associated with the incidence of postoperative UTIs using the best cutoff values. Additionally, a dose–effect relationship was observed for this association (p for trend < 0.05). These results remained significant even after propensity score matching. Conclusions: Preoperative inflammatory/immune markers NLR, PLR, and SII exhibited independent associations with the development of postoperative UTIs in elderly hip fracture patients undergoing surgery. Furthermore, a dose–effect relationship was observed for this association.

Background Muscle atrophy is a typical affliction in patients affected by knee Osteoarthritis (KOA). This study aimed to examine the potential pathogenesis and biomarkers that coalesce to induce muscle atrophy, primarily through the utilization of bioinformatics analysis. Methods Two distinct public datasets of osteoarthritis and muscle atrophy (GSE82107 and GSE205431) were subjected to differential gene expression analysis and gene set enrichment analysis (GSEA) to probe for common differentially expressed genes (DEGs) and conduct transcription factor (TF) enrichment analysis from such genes. Venn diagrams were used to identify the target TF, followed by the construction of a protein-protein interaction (PPI) network of the common DEGs governed by the target TF. Hub genes were determined through the CytoHubba plug-in whilst their biological functions were assessed using GSEA analysis in the GTEx database. To validate the study, reverse transcriptase real-time quantitative polymerase chain reaction (qRT-PCR), enzyme-linked immunosorbent assay (ELISA), and Flow Cytometry techniques were employed. Results A total of 138 common DEGs of osteoarthritis and muscle atrophy were identified, with 16 TFs exhibiting notable expression patterns in both datasets. Venn diagram analysis identified early growth response gene-1 (EGR1) as the target TF, enriched in critical pathways such as epithelial mesenchymal transition, tumor necrosis factor-alpha signaling NF-κB, and inflammatory response. PPI analysis revealed five hub genes, including EGR1, FOS, FOSB, KLF2, and JUNB. The reliability of EGR1 was confirmed by validation testing, corroborating bioinformatics analysis trends. Conclusions EGR1, FOS, FOSB, KLF2, and JUNB are intricately involved in muscle atrophy development. High EGR1 expression directly regulated these hub genes, significantly influencing postoperative muscle atrophy progression in KOA patients.

This paper mainly describes the basic principles of extended Kalman filter and unscented Kalman filter and the application of them in target tracking based on observation distance At last the two algorithms are compared by Matlab software The simulation results show that unscented Kalman filter has better matching effect than extended Kalman filter and the former has smaller error variation and better convergence than the latter

Background： The emergency department （ED） has a pivotal influence on the management of acute heart failure （AHF）, but dataconcerning current ED management are scarce. This Beijing AHF Registry Study investigated the characteristics. ED management, and short- and long-term clinical outcomes of AHF. Methods： This prospective, multicenter, observational study consecutively enrolled 3335 AHF patients who visited 14 EDs in Beijing from January 1, 2011, to September 23, 2012. Baseline data on characteristics and management were collected in the EDs. Follow-up data on death and readmissions were collected until November 31, 2013, with a response rate of 92.80%. The data were reported as median （interquartile range） for the continuous variables, or as number （percentage） for the categorical variables. Results： The median age of the enrolled patients was 71 （58 79） years, and 46.84% wvere women. In patients with AHH coronary heart disease （43.27%） was the most common etiology, andmyocardium ischemia （30.22%） was the main precipitant. Most of the patients in the ED received intravenous treatments, including diuretics （79.28%） and vasodilators （74.90%）. Fewer patients in the ED received neurohormonal antagonists, and 25.94%, 31.12%, and 33.73% of patients received angiotensin converting enzyme inhibitors/angiotensin receptor blockers, beta-blockers, and spironolactone, respectively. The proportions of patients who were admitted, discharged, left against medical advice, and died were 55.53%, 33.58%, 7.08%, and 3.81%, respectively. All-cause mortalities at 30 days and 1 year were 15.30% and 32.27%, respectively. Conclusions： Substantial details on characteristics and ED management of AHF were investigated. The clinical outcomes of AHF patients were dismal. Thus, further investigations of ED-based therapeutic approaches for AHF are needed.

Mass spectra and wave functions of the JP=12+ (bcq) baryons are calculated by the relativistic Bethe–Salpeter equation (BSE) with considering the mixing effects between the 1+ and 0+ (bc)-diquarks inside. Based on the diquark picture, the three-body problem of baryons is transformed into two two-body problems. The BSE and wave functions of the 0+ diquark are given, and then solved numerically to obtain the effective mass spectra and form factors. Also we present the wave functions at zero point for the (bc)-diquark. Considering the obtained diquark form factors, the (bcq) baryons are then described by the BSE as the bound state of a diquark and a light quark, where the interaction kernel includes the inner transitions between the 0+ and 1+ diquarks. The general wave function of the 12+ (bcq) baryons is constructed and solved to obtain the corresponding mass spectra. Especially, by using the obtained wave functions, the mixing effects between Ξbc(Ωbc) and Ξbc′(Ωbc′) in ground states are computed and determined to be small (∼1%). The numerical results indicate that it is a good choice to take Ξbc and Ξbc′ as the baryon states with the inside (bc)-diquarks occupying the definite spin.

Background Artificial selection played an important role in the origin of modern Glycine max cultivars from the wild soybean Glycine soja . To elucidate the consequences of artificial selection accompanying the domestication and modern improvement of soybean, 25 new and 30 published whole-genome re-sequencing accessions, which represent wild, domesticated landrace, and Chinese elite soybean populations were analyzed. Results A total of 5,102,244 single nucleotide polymorphisms (SNPs) and 707,969 insertion/deletions were identified. Among the SNPs detected, 25.5% were not described previously. We found that artificial selection during domestication led to more pronounced reduction in the genetic diversity of soybean than the switch from landraces to elite cultivars. Only a small proportion (2.99%) of the whole genomic regions appear to be affected by artificial selection for preferred agricultural traits. The selection regions were not distributed randomly or uniformly throughout the genome. Instead, clusters of selection hotspots in certain genomic regions were observed. Moreover, a set of candidate genes (4.38% of the total annotated genes) significantly affected by selection underlying soybean domestication and genetic improvement were identified. Conclusions Given the uniqueness of the soybean germplasm sequenced, this study drew a clear picture of human-mediated evolution of the soybean genomes. The genomic resources and information provided by this study would also facilitate the discovery of genes/loci underlying agronomically important traits.

There is an urgent need for animal models to study SARS-CoV-2 pathogenicity. Here, we generate and characterize a novel mouse-adapted SARS-CoV-2 strain, MASCp36, that causes severe respiratory symptoms, and mortality. Our model exhibits age- and gender-related mortality akin to severe COVID-19. Deep sequencing identified three amino acid substitutions, N501Y, Q493H, and K417N, at the receptor binding domain (RBD) of MASCp36, during in vivo passaging. All three RBD mutations significantly enhance binding affinity to its endogenous receptor, ACE2. Cryo-electron microscopy analysis of human ACE2 (hACE2), or mouse ACE2 (mACE2), in complex with the RBD of MASCp36, at 3.1 to 3.7 Å resolution, reveals the molecular basis for the receptor-binding switch. N501Y and Q493H enhance the binding affinity to hACE2, whereas triple mutations at N501Y/Q493H/K417N decrease affinity and reduce infectivity of MASCp36. Our study provides a platform for studying SARS-CoV-2 pathogenesis, and unveils the molecular mechanism for its rapid adaptation and evolution. In this study, Qin et al. present a murine-adapted SARS-CoV-2 strain, MASCp36, as a model for studying the pathogenicity, evolution and adaptation of the virus to human and animal hosts.

The altered metabolism and acidic microenvironment plays an important role in promoting tumor malignant characteristics. A small population of cancer stem cells (CSCs) were considered as a therapy target to reserve tumor relapse, resistance, and metastasis. However, the molecular mechanism that regulates CSCs metabolism remains poorly understood. In this study, we demonstrate a fundamental role of stemness gene LIN28B in maintaining CSCs glycolysis metabolism. Using LIN28B-expressing cancer cell lines, we found that the rate of extracellular acidification, glucose uptake, and lactate secretion are all suppressed by LIN28B knockdown in vitro and in vivo. Importantly, metabolic analyses reveal that CSCs have enhanced aerobic glycolysis metabolic characteristics and the glycolytic product lactate further promotes cancer associated stemness properties. LIN28B silencing suppresses MYC expression that further increases miR-34a-5p level. Furthermore, the glycolysis metabolism of human breast cancer cell line MDA-MB-231 is suppressed by either MYC siRNA or miR-34a-5p mimic. Clinically, high MYC and low miR-34a-5p level are correlated with high LIN28B expression and poor prognosis in human breast cancer patients. Notably, blocking LIN28B/MYC/miR-34a-5p signaling pathway by LIN28B-specific inhibitor causes dramatic inhibition of tumor growth and metastasis in immunodeficient orthotopic mouse models of human breast cancer cell MDA-MB-231. Taken together, our findings offer a preclinical investigation of targeting LIN28B to suppress CSCs glycolysis metabolism and tumor progression that may improve the therapeutic benefit for cancer patients.

Invasive meningococcal disease (IMD) is always caused by Neisseria meningitidis , presents a significant clinical challenge with high mortality rates (up to 20%) and not only neurological sequelae, but also physical and psychological sequelae in survivors. While vaccination has effectively reduced the incidence of traditional serogroups like A and C in China, the emergence of serogroup replacement due to capsular switching—horizontal gene transfer of capsular genes—threatens ongoing public health efforts. This study reports firstly the identification of a ST-7 NmX strain (20220811) in Jiangsu Province, China, suspected to have arisen from an ST-7 NmA progenitor via capsular switching. Whole-genome comparison and phylogenetic analysis revealed a high degree of core genome similarity between the X strain and ST-7 serogroup A strains. However, a significant divergence was observed within the capsular gene cluster region spanning ctrC to rfbA (~ 10.6 kb), with recombination breakpoints identified near these genes. These findings strongly suggest the acquisition of NmX capsule through large fragment recombination. Meantime, virulence factor analysis indicated the absence of adhesion-related genes opa and pilC in the X strain, potentially reflecting a trade-off between reduced invasive capacity and enhanced immune evasion.

In response to the increasing frequency of urban rainstorms, this study focuses on investigating the friction coefficient related to pedestrian instability under urban road flooding conditions. The objective is to conduct an in-depth analysis of the friction coefficient between pedestrians and the ground in actual flood scenarios and its variations, providing practical data to support future pedestrian safety assessments under flood conditions. Wet friction coefficient experiments were conducted under waterlogged conditions, with real human subjects tested across various operational scenarios. A buoyancy calculation formula was introduced to explore the impact of pressure changes caused by buoyancy on the human body in water, influencing the friction coefficient. An exponential relationship between pressure and the friction coefficient was established. Furthermore, by considering factors such as outsole hardness, ground type, and pressure variations with water depth, a dynamic method for selecting the friction coefficient was proposed, offering a scientific basis for determining friction coefficient thresholds associated with pedestrian instability risks. Experimental results indicate that, in the combination of hydrophilic materials with experimental asphalt and cement pavements, the friction coefficient under waterlogged conditions is generally higher than under dry conditions. However, as pressure increases, the friction coefficient of rubber materials decreases. This study concludes that the selection of the friction coefficient in pedestrian instability analysis should be treated as a dynamic process, and relying on a fixed friction coefficient for force analysis of pedestrian instability may lead to significant inaccuracies.