How sediment dredging alters phosphorus dynamics in a lowland rural river?

China's lowland rural rivers are facing severe eutrophication problems due to excessive phosphorus (P) from anthropogenic activities. However, quantifying P dynamics in a lowland rural river is challenging due to its complex interaction with surrounding areas. A P dynamic model (River-P) was specifically designed for lowland rural rivers to address this challenge. This model was coupled with the Environmental Fluid Dynamics Code (EFDC) and the Phosphorus Dynamic Model for lowland Polder systems (PDP) to characterize P dynamics under the impact of dredging in a lowland rural river. Based on a two-year (2020-2021) dataset from a representative lowland rural river in the Lake Taihu Basin, China, the coupled model was calibrated and achieved a model performance (R2>0.59, RMSE<0.04 mg/L) for total P (TP) concentrations. Our research in the study river revealed that (1) the time scale for the effectiveness of sediment dredging for P control was ∼300 days, with an increase in P retention capacity by 74.8 kg/year and a decrease in TP concentrations of 23% after dredging. (2) Dredging significantly reduced P release from sediment by 98%, while increased P resuspension and settling capacities by 16% and 46%, respectively. (3) The sediment-water interface (SWI) plays a critical role in P transfer within the river, as resuspension accounts for 16% of TP imports, and settling accounts for 47% of TP exports. Given the large P retention capacity of lowland rural rivers, drainage ditches and ponds with macrophytes are promising approaches to enhance P retention capacity. Our study provides valuable insights for local environmental departments, allowing a comprehensive understanding of P dynamics in lowland rural rivers. This enable the evaluation of the efficacy of sediment dredging in P control and the implementation of corresponding P control measures.

The interaction between KIF21A and KANK1 regulates dendritic morphology and synapse plasticity in neurons.

JOURNAL/nrgr/04.03/01300535-202501000-00029/figure1/v/2024-05-14T021156Z/r/image-tiff Morphological alterations in dendritic spines have been linked to changes in functional communication between neurons that affect learning and memory. Kinesin-4 KIF21A helps organize the microtubule-actin network at the cell cortex by interacting with KANK1; however, whether KIF21A modulates dendritic structure and function in neurons remains unknown. In this study, we found that KIF21A was distributed in a subset of dendritic spines, and that these KIF21A-positive spines were larger and more structurally plastic than KIF21A-negative spines. Furthermore, the interaction between KIF21A and KANK1 was found to be critical for dendritic spine morphogenesis and synaptic plasticity. Knockdown of either KIF21A or KANK1 inhibited dendritic spine morphogenesis and dendritic branching, and these deficits were fully rescued by coexpressing full-length KIF21A or KANK1, but not by proteins with mutations disrupting direct binding between KIF21A and KANK1 or binding between KANK1 and talin1. Knocking down KIF21A in the hippocampus of rats inhibited the amplitudes of long-term potentiation induced by high-frequency stimulation and negatively impacted the animals' cognitive abilities. Taken together, our findings demonstrate the function of KIF21A in modulating spine morphology and provide insight into its role in synaptic function.

Cationic liposomes overcome neutralizing antibodies and enhance reovirus efficacy in ovarian cancer.

Reovirus (Reo) has shown promising potential in specifically killing tumor cells, and offering new possibilities for ovarian cancer (OC) treatment. However, neutralizing antibodies in the ascites from OC patients greatly limit the further application of Reo. In this study, we employed cationic liposomes (Lipo) to deliver Reo, significantly enhancing its ability to enter OC cells and its effectiveness in killing these cells under ascitic conditions. Pre-treatment with the MßCD inhibitor notably decreased Reo-mediated tumor cell death, indicating that Lipo primarily enables Reo's cellular uptake through caveolin-mediated endocytosis. Our results demonstrate that Lipo effectively facilitates the entry of Reo into the cytoplasm and triggers cell apoptosis. The above findings provide a new strategy to overcome the obstacle of neutralizing antibodies in the clinical application of Reo.

Preoperative Thyroid-Stimulating Hormone Levels and Three-Year Mortality in Elderly Hip Fracture Patients: Insights from a Prospective Cohort Study.

BACKGROUND It is unclear whether preoperative thyroid-stimulating hormone (TSH) level is correlated with long-term mortality in the elderly after hip fracture surgery. We aimed to assess the association between TSH levels and 3-year mortality in these patients. MATERIAL AND METHODS We enrolled patients aged 65 and above who had hip fracture surgery and thyroid function tests upon admission from 2018 to 2019. Patients were categorized based on TSH median value, quartiles, or thyroid function status. The median follow-up time was 3.1 years. Cox proportional hazards models were used to examine the correlation between TSH levels and mortality, adjusting for covariates. RESULTS Out of 799 eligible patients, 92.7% (741/799) completed the follow-up, with 20.6% (153/741) of those having died by the end of the follow-up. No statistically significant differences in mortality risks were found when stratified by TSH median value (HR 0.88, 95% CI 0.64-1.22, P=0.448) or quartiles (HR ranging from 0.90 to 1.13, P>0.05). Similarly, when categorized based on admission thyroid function status, patients who presented with hypothyroidism, subclinical hypothyroidism, hyperthyroidism, and subclinical hyperthyroidism upon admission did not demonstrate a statistically significant difference in mortality risk compared to those who were considered euthyroid (HR 1.34, 95% CI 0.72-2.49, P=0.359; HR 0.77, 95% CI 0.38-1.60, P=0.489; HR 1.15, 95% CI 0.16-8.30, P=0.890; HR 1.07, 95% CI 0.34-3.38, P=0.913, respectively). CONCLUSIONS Admission TSH is not significantly associated with 3-year mortality in geriatric patients after hip fracture surgery.

Antirheumatic drug leflunomide attenuates atherosclerosis by regulating lipid metabolism and endothelial dysfunction via DHODH/AMPK signaling pathway.

The probability of cardiovascular events has been reported lower in rheumatoid arthritis (RA) patients treated with leflunomide. However, the anti-atherosclerotic and cardiovascular protective effects and metabolism of leflunomide are not explored. In this study, we assessed the potential benefits of leflunomide on atherosclerosis and revealed the underlying mechanism. ApoE-/- mice were fed a western diet (WD) alone or supplemented with leflunomide (20 mg/kg, oral gavage, once per day) for 12 weeks. Samples of the aorta, heart, liver, serum, and macrophages were collected. We found that leflunomide significantly reduced lesion size in both en-face aortas and aortic root in WD-fed ApoE-/- mice. Leflunomide also obviously improved dyslipidemia, reduced hepatic lipid content, and improved disorders of glucose and lipid metabolism in vivo. RNA-Seq results showed that leflunomide effectively regulated the genes' expression involved in the lipid metabolism pathway. Importantly, leflunomide significantly increased the phosphorylation levels of AMPKα and acetyl-CoA carboxylase (ACC) in vivo. Furthermore, leflunomide and its active metabolite teriflunomide suppressed lipid accumulation in free fatty acid (FFA)-induced AML12 cells and improved endothelial dysfunction in palmitic acid (PA)-induced HUVECs through activating AMPK signaling and inhibiting dihydroorotate dehydrogenase (DHODH) signaling pathway. We present evidence that leflunomide and teriflunomide ameliorate atherosclerosis by regulating lipid metabolism and endothelial dysfunction. Our findings suggest a promising use of antirheumatic small-molecule drugs leflunomide and teriflunomide for the treatment of atherosclerosis and related cardiovascular diseases (CVDs).

Identifying potential anthocyanin biosynthesis regulator in Chinese cherry by comprehensive genome-wide characterization of the R2R3-MYB transcription factor gene family.

BACKGROUND: Chinese cherry [Cerasus pseudocerasus (Lindl.) G.Don] (syn. Prunus pseudocerasus Lindl.) is an economically important fruiting cherry species with a diverse range of attractive colors, spanning from the lightest yellow to the darkest black purple. However, the MYB transcription factors involved in anthocyanin biosynthesis underlying fruit color variation in Chinese cherry remain unknown. RESULTS: In this study, we characterized the R2R3-MYB gene family of Chinese cherry by genome-wide identification and compared it with those of 10 Rosaceae relatives and Arabidopsis thaliana. A total of 1490 R2R3-MYBs were classified into 43 subfamilies, which included 29 subfamilies containing both Rosaceae MYBs and AtMYBs. One subfamily (S45) contained only Rosaceae MYBs, while three subfamilies (S12, S75, and S77) contained only AtMYBs. The variation in gene numbers within identical subfamilies among different species and the absence of certain subfamilies in some species indicated the species-specific expansion within MYB gene family in Chinese cherry and its relatives. Segmental and tandem duplication events primarily contributed to the expansion of Chinese cherry R2R3-CpMYBs. The duplicated gene pairs underwent purifying selection during evolution after duplication events. Phylogenetic relationships and transcript profiling revealed that CpMYB10 and CpMYB4 are involved in the regulation of anthocyanin biosynthesis in Chinese cherry fruits. Expression patterns, transient overexpression and VIGS results confirmed that CpMYB10 promotes anthocyanin accumulation in the fruit skin, while CpMYB4 acts as a repressor, inhibiting anthocyanin biosynthesis of Chinese cherry. CONCLUSIONS: This study provides a comprehensive and systematic analysis of R2R3-MYB gene family in Chinese cherry and Rosaceae relatives, and identifies two regulators, CpMYB10 and CpMYB4, involved in anthocyanin biosynthesis in Chinese cherry. These results help to develop and utilize the potential functions of anthocyanins in Chinese cherry.

Prediction of epidermal growth factor receptor (EGFR) mutation status in lung adenocarcinoma patients on computed tomography (CT) images using 3-dimensional (3D) convolutional neural network.

Background: Noninvasively detecting epidermal growth factor receptor (EGFR) mutation status in lung adenocarcinoma patients before targeted therapy remains a challenge. This study aimed to develop a 3-dimensional (3D) convolutional neural network (CNN)-based deep learning model to predict EGFR mutation status using computed tomography (CT) images. Methods: We retrospectively collected 660 patients from 2 large medical centers. The patients were divided into training (n=528) and external test (n=132) sets according to hospital source. The CNN model was trained in a supervised end-to-end manner, and its performance was evaluated using an external test set. To compare the performance of the CNN model, we constructed 1 clinical and 3 radiomics models. Furthermore, we constructed a comprehensive model combining the highest-performing radiomics and CNN models. The receiver operating characteristic (ROC) curves were used as primary measures of performance for each model. Delong test was used to compare performance differences between different models. Results: Compared with the clinical [training set, area under the curve (AUC) =69.6%, 95% confidence interval (CI), 0.661-0.732; test set, AUC =68.4%, 95% CI, 0.609-0.752] and the highest-performing radiomics models (training set, AUC =84.3%, 95% CI, 0.812-0.873; test set, AUC =72.4%, 95% CI, 0.653-0.794) models, the CNN model (training set, AUC =94.3%, 95% CI, 0.920-0.961; test set, AUC =94.7%, 95% CI, 0.894-0.978) had significantly better predictive performance for predicting EGFR mutation status. In addition, compared with the comprehensive model (training set, AUC =95.7%, 95% CI, 0.942-0.971; test set, AUC =87.4%, 95% CI, 0.820-0.924), the CNN model had better stability. Conclusions: The CNN model has excellent performance in non-invasively predicting EGFR mutation status in patients with lung adenocarcinoma and is expected to become an auxiliary tool for clinicians.

Association between global longitudinal strain and occurrence of cardiovascular events among pediatric patients following high-dose cyclophosphamide chemotherapy: a prospective cohort study.

Background: The fatal cyclophosphamide cardiotoxicity is associated with high mortality in the adult population, and the study of its effects on children represents a gap in the field. This study aimed to evaluate the potential of global longitudinal strain (GLS) as a predictor of cardiovascular events among children with high-dose cyclophosphamide chemotherapy. Methods: This was a prospective cohort study of patients aged 14 years or younger who received high-dose (>120 mg/kg) cyclophosphamide chemotherapy recruited consecutively. Blood collection and echocardiography were performed 1 day before and after cyclophosphamide chemotherapy, and patients were followed up for 30 days with echocardiography. GLS and other echocardiography indicators were calculated accordingly. The primary outcome was the occurrence of cardiovascular events within 30 days after cyclophosphamide chemotherapy. The association between GLS and outcome was analyzed by using univariate and multivariable-adjusted Poisson regression. Results: A total of 29 subjects were included. Among them, 10 patients (34.48%) developed cardiovascular events during a median follow-up of 10 (interquartile range, 5-13) days. Although similar before cyclophosphamide chemotherapy, GLS 1 day after cyclophosphamide chemotherapy was significantly lower in the cardiac injury group than in the noncardiac injury group (-18.33%±1.81% vs. -20.03%±1.49%, P=0.01). In the multivariable analysis adjusted for total cyclophosphamide dose (160 vs. 120-159 mg/kg) and global circumferential strain, GLS remained an independent predictor for cardiovascular events [incidence rate ratio: 1.46, 95% confidence interval: 1.02-2.09, P=0.04]. Conclusions: GLS after cyclophosphamide chemotherapy may be a reliable indicator to predict cardiovascular events in patients receiving cyclophosphamide chemotherapy, which might be essential in optimizing treatment strategies for this high-risk patient group.

Synergistic delivery of hADSC-Exos and antioxidants has inhibitory effects on UVB-induced skin photoaging.

Ultraviolet B (UVB) light exposure accelerates skin photoaging. Human adipose-derived stem cell exosomes (hADSC-Exos) and some antioxidants may have anti-photoaging effects. However, it is unknown whether the combination of hADSC-Exos and antioxidants plays a synergistic role in anti-photoaging. In cellular and 3D skin models, we showed that vitamin E (VE) and hADSC-Exos were optimal anti-photoaging combinations. In vivo, VE and hADSC-Exos increased skin tightening and elasticity in UVB-induced photoaging mice Combined treatment with VE and hADSC-Exos inhibited SIRT1/NF-κB pathway. These findings contribute to the understanding of hADSC-Exos in conjunction with other antioxidants, thereby providing valuable insights for the future pharmaceutical and cosmetic industries.

Comparative efficacy and safety of first-line tyrosine kinase inhibitors in chronic myeloid leukemia: a systematic review and network meta-analysis.

Background: Tyrosine kinase inhibitors (TKIs) have become the preferred drugs for the treatment of chronic phase (CP) chronic myeloid leukemia (CML). This study aims to compare the safety and efficacy of different TKIs as first-line treatments for CML using network meta-analysis (NMA), providing a basis for the precise clinical use of TKIs. Methods: A systematic search was conducted on PubMed, Cochrane Library, Embase, China National knowledge Infrastructure (CNKI), Wanfang, Chinese Science and Technology Periodical Databases (VIP), SinoMed and ClinicalTrials.gov to include RCTs that compared the different TKIs as first line treatment for CML. The search timeline was from inception to 21 July 2023. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and the frequentist NMA methods, the efficacy and safety of different TKIs were compared, including the rates of major molecular response (MMR), complete cytogenetic response (CCyR), all grade adverse events, grade 3 or higher hematologic adverse events and liver toxicity. Results: A total of 25 RCTs involving 6,823 patients with CML and 6 types of TKIs were included. In terms of efficacy, second-generation TKIs such as dasatinib, nilotinib, and radotinib showed certain advantages in improving patients' MMR and CCyR compared to imatinib. Additionally, imatinib 800 mg provided better MMRs and CCyRs than imatinib 400 mg. As far as safety was concerned, there was no significant difference in the incidence of all grade adverse events among the different TKIs. All TKIs can cause serious grade 3-4 hematologic adverse events, including anemia, thrombocytopenia, and neutropenia. Dasatinib more likely caused anemia, bosutinib thrombocytopenia, and imatinib neutropenia, whereas nilotinib and flumatinib might have better safety profiles in terms of severe hematologic adverse events. For liver toxicity, radotinib 400 mg and imatinib 800 mg, respectively, had the highest likelihood of ranking first in incidence rates of all grade ALT and AST elevation. Conclusions: In CML, second-generation TKIs are more clinically effective than imatinib even if this last drug has a relatively better safety profile. Thus, as each second-generation TKI has a distinct clinical efficacy and safety, and is associated with different economic factors, its choice should be dictated by the specific patient clinical conditions (patient's specific disease characteristics, comorbid conditions, potential drug interactions, as well as their adherence). Nevertheless, due to the limited number of original research, additional high-quality studies are needed to achieve any firm conclusion on which second-generation TKI is the best choice for that peculiar patient.

Identification of characteristic compounds of sweet orange oil and their sweetening effects on the sucrose solution with sweetness meter, sensory analysis, electronic tongue, and molecular dynamics simulation.

The characteristic aroma compounds of five-fold sweet orange oil were analyzed using gas chromatography-mass spectrometry combined with the odor aroma value (OAV) method. The results indicated that limonene, linalool, dodecanol, (E,E)-2,4-decadienal, (E)-citral, linalool, (E)-2-decenal, and geraniol are important contributors. The sweetening effects of key compounds on sucrose solutions were experimentally investigated. The results showed that the sweetness effects of five compounds (limonene, citronellal, geraniol, ß-sinensal and ß-caryophyllene) were better than those of (E)-citral, linalool and octanal. Molecular dynamics implied that the hydrogen bonding residues of the T1R2/T1R3-sucrose system were converted from LYS65, GLU302, ASP278, and SER144 to ASP278, SER144, ASP142, and ASP213 after the addition of limonene. Meanwhile, the hydrophobic interaction forces of the system are significantly enhanced. The total energy of the T1R2/T1R3-sucrose system decreased from -32.08 kcal/mol to -63.57 kcal/mol. The synergistic sweetening mechanism of characteristic aroma compounds of sweet orange oil on sucrose was revealed.

Diagnostic accuracy of a machine learning-based radiomics approach of MR in predicting IDH mutations in glioma patients: a systematic review and meta-analysis.

Objectives: To assess the diagnostic accuracy of machine learning (ML)-based radiomics for predicting isocitrate dehydrogenase (IDH) mutations in patients with glioma. Methods: A systematic search of PubMed, Web of Science, Embase, and the Cochrane Library from inception to 1 September 2023, was conducted to collect all articles investigating the diagnostic performance of ML for the prediction of IDH mutations in gliomas. Two reviewers independently screened all papers for eligibility. Methodological quality and risk of bias were assessed using the METhodological RadiomICs Score and Quality Assessment of Diagnostic Accuracy Studies-2, respectively. The pooled sensitivity, specificity, and 95% confidence intervals were calculated, and the area under the receiver operating characteristic curve (AUC) was obtained. Results: In total, 14 original articles assessing 1740 patients with gliomas were included. The AUC of ML for predicting IDH mutation was 0.90 (0.87-0.92). The pooled sensitivity, specificity, and diagnostic odds ratio were 0.83 (0.71-0.90), 0.84 (0.74-0.90), and 25 (12,50) respectively. In subgroup analyses, modeling methods, glioma grade, and the combination of magnetic resonance imaging and clinical features affected the diagnostic performance in predicting IDH mutations in gliomas. Conclusion: ML-based radiomics demonstrated excellent diagnostic performance in predicting IDH mutations in gliomas. Factors influencing the diagnosis included the modeling methods employed, glioma grade, and whether the model incorporated clinical features. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/#myprospero, PROSPERO registry (CRD 42023395444).

Induction of hepatic fibrosis in mice with schistosomiasis by extracellular microRNA-30 derived from Schistosoma japonicum eggs.

Background: Schistosomiasis is a zoonotic parasitic disorder induced by the infestation of schistosomes, a genus of trematodes. MicroRNAs (miRNAs) in egg-derived exosomes are crucial for modulating the host's immune responses and orchestrating the pathophysiological mechanisms. Although the exosomes secreted by S. japonicum contain abundant miRNAs, the specific roles of these miRNAs in the pathogenesis of schistosomiasis-induced hepatic fibrosis are yet to be comprehensively elucidated. The egg exosomes of S. japonicum secrete miRNA-30, a novel miRNA. Methods: In vitro, the effect of miRNA-30 was evaluated by transfecting HSCs with miRNA mimics. The target gene biosignature for miRNA-30 was predicted using the miRDB software. The effect of miRNA-30 in hepatic fibrosis was evaluated by either elevating its expression in healthy mice or by inhibiting its activity in infected mice by administration of recombinant adeno-associated virus serotype eight vectors expressing miRNA-30 or miRNA sponges. Results: This novel miRNA can activate hepatic stellate cells (HSCs), the prinary effector cells of hepatic fibrosis, in vitro, i.e., it significantly increases the fibrogenic factors Col1(α1), Col3(α1), and α-SMA at both mRNA and protein levels. In addition, miRNA-30 may activate HSCs by targeting the host RORA gene. In addition, in vivo experiments were conducted by administering a recombinant adeno-associated viral vector to modulate the expression levels of miRNA-30. The overexpression of miRNA-30 in healthy mice significantly elevated the expression of Col1(α1), Col3(α1), and α-SMA at both the transcriptomic and proteomic scales. This overexpression was coupled with a pronounced augmentation in the hepatic hydroxyproline content. Conversely, the in vivo silencing of miRNA-30 in infected mice induced a considerable reduction in the size of hepatic granulomas and areas of collagen deposition. Hence, in vivo, modulation of miRNA-30 expression may play a pivotal role in ameliorating the severity of hepatic fibrosis in mice afflicted with S. japonica. Conclusions: The study results suggest that miRNA-30 may augment schistosomiasis-induced hepatic fibrosis through a probable interaction with the host RORA. Our study may improve the current theoretical framework regarding cross-species regulation by miRNAs of hepatic fibrosis in schistosomiasis.

The Association of Myopia Progression with Changes in Retinal Thickness among Primary School Students with Myopia.

Purpose: To observe the relationship between myopia progression and changes in retinal thickness during one year of follow-up among primary school children. Methods: The study included 1161 eyes of 708 myopic children, with 616 (53.06%) right eyes and 545 (46.94%) left eyes. The participants underwent a comprehensive ophthalmic examination, including visual acuity, axial length (AL), autorefraction, and optical coherence tomography (OCT) examination in 2016 and in 2017. An analysis was conducted on the differences in retinal thickness between different genders and between high myopia and nonhigh myopia. Furthermore, the study delved into the correlation between the progression of myopia and the changes of retinal thickness. Results: The average diopter was -1.83 ± 1.29D, average AL was 23.78 ± 0.94 mm, and average foveal thickness was 228.02 ± 23.00 µm. For the inner retina, the median value [the lower quartile value, the upper quartile value] of the foveal thickness was thicker in the high myopia group than the nonhigh myopia group (67 [64; 74] µm vs. 63 [56; 70] µm), while the parafoveal region and perifoveal region were thinner in the high myopia group than the nonhigh myopia group (106 [100; 123] µm vs. 124 [117; 130] µm; 95.0 [93; 102] µm vs. 104 [100; 108] µm). Among all the children with myopia, 67.53% (784/1161) of them have a diopter progression within one year. The AL progression was 95.43% (1108/1161). The retinal thickness of all children has slightly increased in various regions. As the AL of the eye increased and the diopter decreased, the progression degree of inner retinal thickness and full retinal thickness (exclusive of full fovea) decreased. Conclusion: For the school-age myopic children, the inner foveal retinal thickness were thicker in highly myopic students than in the nonhighly myopic students, while the parafoveal and perifoveal retina were thinner in highly myopic students. The inner and full retinal thicknesses of male students were thicker than that of females. The progression of myopia mainly affected the changes of the inner retinal thickness in the one-year follow-up.

A comprehensive conceptual framework for signaling in-lake CO2 through dissolved organic matter.

Organic carbon (C) and CO2 pools are closely interactive in aquatic environments. While there are strong indications linking freshwater CO2 to dissolved organic matter (DOM), the specific mechanisms underlying their common pathways remain unclear. Here, we present an extensive investigation from 20 subtropical lakes in China, establishing a comprehensive conceptual framework for identifying CO2 drivers and retrieving CO2 magnitude through co-trajectories of DOM evolution. Based on this framework, we show that lake CO2 during wet period is constrained by a combination of biogeochemical processes, while photo-mineralization of activated aromatic compounds fuels CO2 during dry period. We clearly determine that biological degradation of DOM governs temporal variations in CO2 rather than terrestrial C inputs within the subtropical lakes. Specifically, our results identify a shared route for the uptake of atmospheric polycyclic aromatic compounds and CO2 by lakes. Using machine learning, in-lake CO2 levels are well modelled through DOM signaling regardless of varying CO2 mechanisms. This study unravels the mechanistic underpinnings of causal links between lake CO2 and DOM, with important implications for understanding obscure aquatic CO2 drivers amidst the ongoing impacts of global climate change.

Prognostic Nutritional Index (PNI) as an Independent Predictor of 3-Year Postoperative Mortality in Elderly Patients with Hip Fracture: A Post hoc Analysis of a Prospective Cohort Study.

OBJECTIVE: The prognostic nutritional index (PNI) has been reported as a significant predictor in various diseases. However, the prognostic value of the PNI in geriatric hip fracture patients has not been thoroughly evaluated. This study aimed to investigate the association between admission PNI and 3-year mortality in those patients. METHODS: In this post hoc analysis, we included patients aged ≥65 years who underwent surgery for hip fracture between 2018 and 2019. The admission PNI was calculated as serum albumin (g/L) +5 × total lymphocyte count (×109/L). Patients were categorized into four groups based on PNI quartiles (≤ 43.55, 43.55-46.55, 46.55-49.20, and >49.20, respectively). The median follow-up duration was 3.1 years. Cox proportional hazards models were used to calculate the hazard ratio (HR). Receiver operating characteristic curve (ROC) was conducted for using PNI to predict mortality. RESULTS: Of the 942 eligible patients, 190 (20.2%) patients died during the follow-up. Compared to patients in the first quartile (Q1), those in the second (Q2), third (Q3), and fourth (Q4) quartiles had significantly lower mortality risks (HRs 0.50, 95% CI 0.35-0.74; 0.41, 95% CI 0.26-0.64; and 0.26, 95% CI 0.15-0.45, respectively). The optimal cutoff of PNI for predicting mortality was set as 45.275 (sensitivity, 0.674; specificity, 0.692; area under the curve (AUC), 0.727). Patients with higher PNI (>45.275) had a significant lower mortality risk (HR 0.39, 95% CI 0.28-0.55) compared to those with lower PNI (≤ 45.275). CONCLUSION: PNI is a reliable and independent predictor of 3-year mortality after hip fracture surgery in the elderly.

Aggregation-induced electrochemiluminescence based on intramolecular charge transfer and twisted molecular conformation for label-free Immunoassay.

Organic emitters with exceptional properties exhibit significant potential in the field of aggregation-induced electrochemiluminescence (AIECL); however, their practicality is impeded by limited ECL efficiency (ΦECL). This paper investigates a novel type of AIECL emitter (BDPPA NPs), where an efficient intramolecular charge transfer (ICT) effect and highly twisted conformation contribute to a remarkable enhancement of ECL. The ICT effect reduces the electron transfer path, while the twisted conformation effectively restricts π-π stacking and intramolecular motions. Intriguingly, compared to the standard system of [Ru(bpy)32+]/TPrA, bright emissions with up to 54 % ΦECL were achieved, enabling direct visual observation of ECL through the co-reactant route. The label-free immunosensor exhibited distinguished performance in detecting SARS-CoV-2 N protein across an exceptionally wide linear range of 0.001-500 ng mL-1, with a remarkably low detection limit of 0.28 pg mL-1. Furthermore, this developed ECL platform exhibited excellent sensitivity, specificity, and stability characteristics, providing an efficient avenue for constructing platforms for bioanalysis and clinical diagnosis analysis.

The optimization and operation of multi-energy-coupled microgrids by the improved fireworks algorithm-shuffled frog-leaping algorithm.

This study aims to address optimization and operational challenges in multi-energy coupled microgrids to enhance system stability and reliability. After analyzing the requirements of such systems within comprehensive energy systems, an improved fireworks algorithm (IFWA) is proposed. This algorithm combines an adaptive resource allocation strategy with a community genetic strategy, automatically adjusting explosion range and spark quantity based on individual optimization status to meet actual needs. Additionally, a multi-objective optimization model considering active power network losses and static voltage is constructed, utilizing the shuffled frog-leaping algorithm (SFLA) to solve constrained multi-objective optimization problems. Through simulation experiments on a typical northern comprehensive energy system, conducted with a scheduling period of T = 24, the feasibility and superiority of IFWA-SFLA are validated. Results indicate that IFWA-SFLA performs well in optimizing microgrid stability, managing electrical energy flow effectively within the microgrid, and reducing voltage fluctuations. Furthermore, the circuit structure and control strategy of microgrid energy storage bidirectional inverters based on IFWA are discussed, along with relevant simulation results.

The eukaryotic translation initiation factor eIF4E regulates flowering and circadian rhythm in Arabidopsis.

Translation initiation is a critical, rate-limiting step in protein synthesis. The eukaryotic translation initiation factor 4E (eIF4E) plays an essential role in this process. However, the mechanisms by which eIF4E-dependent translation initiation regulates plant growth and development remain not fully understood. In this study, we found that Arabidopsis eIF4E proteins are distributed in both the nucleus and cytoplasm, with only the cytoplasmic eIF4E being involved in the control of photoperiodic flowering. Genome-wide translation profiling using Ribo-tag sequencing reveals that eIF4E may regulate plant flowering by maintaining the homeostatic translation of components in the photoperiodic flowering pathway. eIF4E not only regulates the translation of flowering genes such as FLOWERING LOCUS T (FT) and FLOWERING LOCUS D (FLD) but also influences the translation of circadian genes like CIRCADIAN CLOCK ASSOCIATED 1 (CCA1) and PSEUDO-RESPONSE REGULATOR 9 (PRR9). Consistently, our results show that the eIF4E modulates the rhythmic oscillation of the circadian clock. Together, our study provides mechanistic insights into how the protein translation regulates multiple developmental processes in Arabidopsis, including the circadian clock and photoperiodic flowering.

Efficacy and Safety of Cold Versus Hot Snare Endoscopic Mucosal Resection in Colorectal Polyp Removal: A Systematic Review and Meta-Analysis.

BACKGROUND: Cold snare endoscopic mucosal resection (C-EMR) is hypothesized to offer a safety advantage over hot snare endoscopic mucosal resection (H-EMR). The primary objective of this meta-analysis is to evaluate the effectiveness and safety of C-EMR versus H-EMR for the management of colorectal lesions. METHODS: A meta-analysis was performed to determine pooled odds ratios (ORs) for comparing outcomes between the C-EMR and H-EMR groups. RESULTS: The pooled OR for complete resection rates were estimated at 0.70 (95% CI: 0.36-1.36, P =0.29) and en bloc rates were 0.24 (95% CI: 0.05-1.08, P=0.06) between C-EMR group and H-EMR group. The overall complete resection rate for C-EMR was 84%, and the en bloc resection rate was 57. Notably, C-EMR was associated with a significantly lower incidence of delayed bleeding. The recurrence rate of polyps was very low (2%) when treating sessile serrated polyp (SSP) lesions, but higher (23%) for non-SSP lesions. Subgroup analysis revealed minimal recurrence of polyps after using C-EMR for lesions between 10 to 20 mm and ≥20 mm. CONCLUSIONS: This meta-analysis suggests that C-EMR could be a safer and equally effective alternative to H-EMR for resecting colorectal lesions. We recommend C-EMR as the preferred method for excising large colorectal lesions.