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Objective To monitor the incidence of pulmonary infection after cardiac surgery by target monitoring for reducing the incidence of postoperative pulmonary infection. Methods Surgical targets monitoring was used to follow 425 patients undergoing cardiac surgery in a tertiary general hospital from January 2017 to December 2018. There were 25 cases of postoperative pulmonary infection, and the infection rate was 5.88%. From 2019 and 2020, the PDCA cycle mode was applied to compare the rate of pulmonary infection after cardiac surgery. Results In 2019, 11 cases in 265 patients with cardiac surgery had postoperative pulmonary infection, and the infection rate was 4.15%; In 2020, 6 cases in 200 patients with cardiac surgery had postoperative pulmonary infection, and the infection rate was 3%. Conclusions Through surgical target monitoring, it is found that the application of the PDCA cycle mode can jointly participate in the prevention and control of nosocomial infection with multiple disciplines, and continuously improve the quality. At the same time, it can effectively reduce the incidence of pulmonary infection after cardiac surgery, and greatly improve the life and quality of life of patients.

Human fat mass and obesity associated protein FTO is the first confirmed N6-methyladenosine(m6A) demethylase, which demonstrated the existence of reversible RNA modification, and also unveiled the prelude of m6A modification research. More and more researchers have tried to explore the specific mechanism of gene expression regulation at the level of m6A modification. It is found that m6A modification function requires the joint participation of methylesterase, demethylase, and binding protein to complete. FTO catalyze the demethylation of m6A modifications on mRNAs and is widely expressed in human tissues and participate in the regulation of various biological processes. This paper outlines the relationship between demethylase FTO and its mediated m6A/RNA modification and the development of body fat tissue, embryonic tissue, brain and neuro-system, hoping to gain insight into the function and mechanism of FTO.

Natal rearing experience of animals may affect their behaviors, such as habitat selection and oviposition decision. As part of the overall fitness of insect parasitoids, successful host discrimination (distinguishing parasitized hosts from unparasitized hosts) is of paramount importance. In this study we examined whether and how parasitoids' natal rearing experience would affect their host discrimination ability according to host availability. We established separate colonies of Aphidius gifuensis Ashmead by continual rearing on two hosts, Sitobion avenae F. and Myzus persicae (Suzler), and quantified self superparasitism and self superparasitism versus parasitism ratio for the four combinations of parasitoid colonies and host species (S. aveane and M. persicae) at four host densities (30, 50, 100 or 150 per plant). Results showed that self superparasitism of M. persicae by A. gifuensis reared on S. avenae was significantly higher than by those reared on M. persicae, no matter whether the host densities were 30, 50, 100 or 150. Aphidius gifuensis reared on M. persicae significantly superparasitized more S. avenae than those reared on S. aveane only when host density was 30. Self superparasitism versus parasitism ratio of A. gifuensis from both colonies was always lower on natal hosts than on new hosts, and the difference was more pronounced as the host density decreased. These results suggested that natal rearing effects is important on host discrimination and oviposition decision of the parasitoid A. gifuensis. These effects promoted the parasitoid's host adaptation and made them confer greater fitness.

Toxoplasma gondii is a widely spread opportunistic pathogen that can infect nearly all warm-blooded vertebrates and cause serious toxoplasmosis in immunosuppressed animals and patients. However, the relationship between the host's innate immune system and effector proteins is poorly understood, particularly with regard to how effectors antagonize cGAS-STING signaling during T. gondii infection. In this study, the ROP5 from the PRU strain of T. gondii was found to promote cGAS-STING-mediated immune responses. Mechanistically, ROP5 interacted with STING through predicted domain 2 and modulated cGAS-STING signaling in a predicted domain 3-dependent manner. Additionally, ROP5 strengthened cGAS-STING signaling by enhancing the K63-linked ubiquitination of STING. Consistently, ROP5 deficient PRU (PRUΔROP5) induced fewer type I IFN-related immune responses and replicated faster than the parental strain in RAW264.7 cells. Taken together, this study provides new insights into the mechanism by which ROP5 regulates T. gondii infection and provides new clues for strategies to prevent and control toxoplasmosis. [ABSTRACT FROM AUTHOR]

Background: The COVID-19 pandemic poses severe risks for immunocompromised patients, especially those with neutropenia due to chemotherapy. This study evaluates the safety and effectiveness of remdesivir use in COVID-19 patients with neutropenia. Methods: This retrospective study used the Chang Gung Research Database (CGRD) and extracted data from 98,763 patients with COVID-19 diagnosed between April 2021 and September 2022. The patients were divided into groups based on their remdesivir use and the presence of neutropenia. The adverse effects of remdesivir and their outcomes were analyzed after propensity score matching. Results: We compared common adverse effects of remdesivir in neutropenic patients before and after a 5-day regimen. A slight decrease in heart rate was observed but lacked clinical significance. There were no significant differences observed in hemoglobin, liver function tests, and blood glucose levels. After propensity score matching of COVID-19 patients with neutropenia according to gender, age, dexamethasone use, oxygen use, MASCC score, and WHO ordinal scale, no significant differences were found in length of stay, intubation rate, or ICU admission rate between the matched patients. Conclusions: Our study found remdesivir to be safe for COVID-19 patients with neutropenia, with no common adverse reactions observed. However, its effectiveness for these patients remains uncertain. [ABSTRACT FROM AUTHOR]

Influenza A virus outbreaks pose a significant burden to global health. However, detecting and subtyping the virus is challenging due to its high mutation rate, and it is difficult to distinguish viable viruses that cause infection from clinical samples. Here is a novel PMAxx-LAMP assay for the classification of viable and non-viable Influenza A virus together with differentiation between H1N1 and H3N2 subtypes. Our loop-mediated isothermal amplification (LAMP) primers displayed limits of detection of 102 copies/μL for both subtypes, high specificity, reproducibility, and good linearity with correlation coefficients of 0.9762 and 0.9901 for H1N1 and H3N2, respectively. PMAxx effectively distinguished between viable and non-viable viruses at an optimal concentration of 10 μM. In the LAMP method, the clinical specificity and sensitivity for the H1N1 subtype were both 100%, while for the H3N2 subtype, they were 94.44 and 92.31%, respectively. With the PMAxx-LAMP assay, the clinical specificity and sensitivity were 68% and 65% for the H1N1 subtype, and 81% and 69% for the H3N2 subtype, respectively. The reduced clinical specificity and sensitivity observed in the PMAxx-LAMP assay can be attributed to the presence of non-viable viruses, which are labeled with PMAxx and subsequently eliminated from positive samples. The PMAxx-LAMP offers potential benefits in determining the stage of infection, enabling early screening of patients, and shortening the window period for virus detection. The simplicity and efficiency of this assay make it suitable for use in resource limited settings and point-of-care (POCT) applications. [ABSTRACT FROM AUTHOR]

Accurate hydrologic modeling is vital to characterizing how the terrestrial water cycle responds to climate change. Pure deep learning (DL) models have been shown to outperform process-based ones while remaining difficult to interpret. More recently, differentiable physics-informed machine learning models with a physical backbone can systematically integrate physical equations and DL, predicting untrained variables and processes with high performance. However, it is unclear if such models are competitive for global-scale applications with a simple backbone. Therefore, we use – for the first time at this scale – differentiable hydrologic models (full name δ HBV-globe1.0-hydroDL, shortened to δ HBV here) to simulate the rainfall–runoff processes for 3753 basins around the world. Moreover, we compare the δ HBV models to a purely data-driven long short-term memory (LSTM) model to examine their strengths and limitations. Both LSTM and the δ HBV models provide competitive daily hydrologic simulation capabilities in global basins, with median Kling–Gupta efficiency values close to or higher than 0.7 (and 0.78 with LSTM for a subset of 1675 basins with long-term discharge records), significantly outperforming traditional models. Moreover, regionalized differentiable models demonstrated stronger spatial generalization ability (median KGE 0.64) than a traditional parameter regionalization approach (median KGE 0.46) and even LSTM for ungauged region tests across continents. Nevertheless, relative to LSTM, the differentiable model was hampered by structural deficiencies for cold or polar regions, highly arid regions, and basins with significant human impacts. This study also sets the benchmark for hydrologic estimates around the world and builds a foundation for improving global hydrologic simulations. [ABSTRACT FROM AUTHOR]

BACKGROUND: Understanding how parasitoids respond to temperature is crucial for improving biological control strategies under the context of global warming. This study examined the suitability of Myzus persicae and its parasitoid Aphidius gifuensis to varying temperature conditions, as well as the stage‐specific response of A. gifuensis to high temperatures. RESULTS: High temperatures had a significant impact on the both M. persicae and A. gifuensis. When exposed to 36°C, M. persicae developed more slowly and produced smaller adults compared to control, regardless of the duration of exposure (2, 4 or 6 h); additionally, the survival rate of M. persicae nymphs sharply decreased under these conditions. Exposure to 36°C for 4 h negatively impacted the development of A. gifuensis. Female parasitoids exposed to 32°C developed into smaller adults, whereas males exposed to all three temperature levels were smaller compared to control group. Female parasitoids exposed to high temperatures, regardless of the specific heat level and duration, exhibited reduced longevity and decreased fecundity. None of the parasitoids exposed to 36°C for 6 h daily developed into adults. Heat treated during early developmental stages (2 and 4 days old) had a greater influence on parasitoid development, whereas heat treatment at 4 and 6 days old had a more significant impact on its fecundity. CONCLUSION: High temperatures not only directly affected the performance of A. gifuensis, but also exerted indirect effects by influencing the quality of the host aphids M. persicae. The deleterious effects of high temperature on larvae can persist into the adult stage, affecting the longevity and reproduction of adults. These findings are important for the utilization of A. gifuensis in the control of M. persicae in warming environments. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

In the original version of Figure 6P, the labels for AAV-EGFP and AAV-Cre were inverted. The correct figure part is below. The HTML and PDF files have been updated online. [...]

Formation mechanisms of dendrite structures have been extensively explored theoretically, and many theoretical predictions have been validated for micro- or macroscale dendrites. However, it is challenging to determine whether classical dendrite growth theories are applicable at the nanoscale due to the lack of detailed information on the nanodendrite growth dynamics. Here, we study iron oxide nanodendrite formation using liquid cell transmission electron microscopy (TEM). We observe "seaweed"-like iron oxide nanodendrites growing predominantly in two dimensions on the membrane of a liquid cell. By tracking the trajectories of their morphology development with high spatial and temporal resolution, it is possible to explore the relationship between the tip curvature and growth rate, tip splitting mechanisms, and the effects of precursor diffusion and depletion on the morphology evolution. We show that the growth of iron oxide nanodendrites is remarkably consistent with the existing theoretical predictions on dendritic morphology evolution during growth, despite occurring at the nanoscale.

Depressive symptoms are common in heart failure (HF) patients and they may exacerbate the progression of HF. Thus, identifying associations with depressive symptoms is essential to develop effective interventions to alleviate patients’ depressive symptoms. Therefore, this study aimed to explore the factors related to HF patients’ depressive symptoms.