Permeable TAD boundaries and their impact on genome-associated functions.

TAD boundaries are genomic elements that separate biological processes in neighboring domains by blocking DNA loops that are formed through Cohesin-mediated loop extrusion. Most TAD boundaries consist of arrays of binding sites for the CTCF protein, whose interaction with the Cohesin complex blocks loop extrusion. TAD boundaries are not fully impermeable though and allow a limited amount of inter-TAD loop formation. Based on the reanalysis of Nano-C data, a multicontact Chromosome Conformation Capture assay, we propose a model whereby clustered CTCF binding sites promote the successive stalling of Cohesin and subsequent dissociation from the chromatin. A fraction of Cohesin nonetheless achieves boundary read-through. Due to a constant rate of Cohesin dissociation elsewhere in the genome, the maximum length of inter-TAD loops is restricted though. We speculate that the DNA-encoded organization of stalling sites regulates TAD boundary permeability and discuss implications for enhancer-promoter loop formation and other genomic processes.

Dissociation of focal and large-scale inhibitory functions in the older adults: A multimodal MRI study.

BACKGROUND: The decline of inhibitory in cognitive aging is linked to reduced cognitive and mental capacities in older adults. However, this decline often shows inconsistent clinical presentations, suggesting varied impacts on different inhibition-related tasks. Inhibitory control, a multifaceted construct, involves various types of inhibition. Understanding these components is crucial for comprehending how aging affects inhibitory functions. Our research investigates the influences of aging on large-scale and focal-scale inhibitory and examines the relationship with brain markers. METHODS: We examined the impact of aging on inhibitory in 18 younger (20-35 years) and 17 older adults (65-85 years) using focal and large-scale inhibition tasks. The Gabor task assessed focal-scale inhibition, while the Stop Signal Task (SST) evaluated large-scale inhibition. Participants underwent neuropsychological assessments and MRI scans, including magnetic resonance spectroscopy (MRS) and structural and resting fMRI. RESULTS: Older adults exhibited a marked decline in inhibitory function, with slower SST responses indicating compromised large-scale inhibition. Conversely, the Gabor task showed no significant age-related changes. MRS findings revealed decreased levels of GABA, glutamate, glutamine, and NAA in the pre-SMA, correlating with observed large-scale inhibition in older adults. Additionally, pre-SMA seed-based functional connectivity analysis showed reduced brain network connections in older adults, potentially contributing to inhibitory control deficits. CONCLUSIONS: Our study elucidates the differential effects of aging on inhibitory functions. While large-scale inhibition is more vulnerable to aging, focal-scale inhibition is relatively preserved. These findings highlight the importance of targeted cognitive interventions and underscore the necessity of a multifaceted approach in aging research.

Exploring main soil drivers of vegetation succession in abandoned croplands of Minqin Oasis, China.

Background: The Minqin Oasis, which is located in Wuwei City, Gansu Province, China, faces a very serious land desertification problem, with about 94.5% of its total area desertified. Accordingly, it is crucial to implement ecological restoration policies such as cropland abandonment in this region. In abandoned croplands, abiotic factors such as soil properties may become more important than biotic factors in driving vegetation succession. However, the connections between soil properties and vegetation succession remain unclear. To fill this knowledge gap, this study investigated these connections to explore major factors that affected vegetation succession, which is meaningful to designing management measures to restore these degraded ecosystems. Methods: This study investigated seven 1-29-year-old abandoned croplands using the "space for time" method in Minqin Oasis. Vegetation succession was classified into different stages using a canonical correlation analysis (CCA) and two-way indicator species analysis (Twinspan). The link between soil properties and vegetation succession was analyzed using CCA. The primary factors shaping community patterns of vegetation succession were chosen by the "Forward selection" in CCA. The responses of dominant species to soil properties were analyzed using generalized additive models (GAMs). Results: Dominant species turnover occurred obviously after cropland abandonment. Vegetation succession can be classified into three stages (i.e., early, intermediate, and late successional stages) with markedly different community composition and diversity. The main drivers of vegetation succession among soil properties were soil salinity and saturated soil water content and they had led to different responses of the dominant species in early and late successional stages. During the development of vegetation succession, community composition became simpler, and species diversity decreased significantly, which was a type of regressive succession. Therefore, measures should be adopted to manage these degraded, abandoned croplands.

[Material basis and mechanism of Bletillae Rhizoma for melasma, gastrointestinal hemorrhage, lung cancer and bronchoplumonary inflammation as "homotherapy for heteropathy" based on UHPLC-Q-Exactive Orbitrap HRMS coupled with network pharmacology and molecular docking].

Based on UHPLC-Q-Exactive Orbitrap HRMS coupled with the network pharmacology and molecular docking, the common material basis and molecular mechanisms of Bletillae Rhizoma for melasma, gastrointestinal hemorrhage, lung cancer and bronchoplumonary inflammation as "homotherapy for heteropathy" were explored. The fingerprint of 17 batches of Bletillae Rhizoma from different areas was established using HPLC, and the similarity analysis was carried out. The common chemical components of the 17 batches of Bletillae Rhizoma were identified using UHPLC-Q-Exactive Orbitrap HRMS. Depending on the bioavailability and drug-like properties of the common components, the active chemical components were screened, and then their protein targets were collected using the Traditional Chinese Medicine Database and Analysis Platform(TCMSP) and SwissTargetPrediction database. The protein targets related to diseases were retrieved from the databases DrugBank, TTD and GeneCards to produce a Venn diagram. The shared targets were obtained between drugs and diseases as "homotherapy for heteropathy" targets. The protein-protein interaction(PPI) was analyzed with the STRING database, and KEGG and GO analyses of the "homotherapy for heteropathy" targets were performed using the Bioconductor database. Cytoscape 3.7.2 software was employed to construct the "chemical components of Bletillae Rhizoma-homotherapy for heteropathy targets" network and PPI network, and topological analysis was conducted to screen out the key active chemical components and core targets. Finally, the affinity between the active components and core targets was evaluated using the molecular docking by AutoDock Vina 4.2.6, which verified the interaction between them. Thirteen common peaks were identified by fingerprint chromatography, and the similarity between different batches was 0.941-0.998. Fifty-three chemical components were identified by mass spectrometry in Bletillae Rhizoma, and 18 common chemical constituents were obtained in the 17 batches of Bletillae Rhizoma. Network pharmacologic screening showed that the pharmacodynamic substances of Bletillae Rhizoma for melasma, gastrointestinal hemo-rrhage, lung cancer and bronchoplumonary inflammation with "homotherapy for heteropathy" were 11 compounds, such as polysaccharides, biphenanthrenes, dihydrophenanthrenes and bibenzyls. There were 42 common targets identified for the treatment of different diseases. These targets were involved in biological processes such as cell response to chemical stress, reactive oxygen species and positive regulation of protein kinase B signal transduction. They were also involved in 121 signaling pathways, encompassing vital pathways such as PI3K-Akt, ErbB, Rap1, FoxO, MAPK and estrogen. Molecular docking results showed a strong affinity between the key active components and the core targets. This study provides a preliminary explanation of how Bletillae Rhizoma exerts its therapeutic effect on chloasma, gastrointestinal hemorrhage, lung cancer, and bronchopneumonic lesions as "homotherapy for heteropathy" through a combined action involving multiple components, targets, and pathways. These findings offer a certain theoretical basis for the further deve-lopment and application of Bletillae Rhizoma.

Zwitterionic Eutectogels with High Ionic Conductivity for Environmentally Tolerant and Self-Healing Triboelectric Nanogenerators.

Eutectogels have garnered considerable attention for the development of wearable devices, owing to their inherent mechanical elasticity, ionic conductivity, affordability, and environmental compatibility. However, the low conductivity of existing eutectogels has impeded their progression in electronic applications. Here, we report a zwitterionic eutectogel with an impressive ionic conductivity of up to 15.7 mS cm-1. The incorporation of zwitterionic groups into the eutectogel creates ample mobile charges by dissociating the cation and anion of solvents, thereby yielding exceptional ionic conductivity. Moreover, the abundant electrostatic and hydrogen bonding interactions within the eutectogel endow it with prominent self-healing and adhesive properties. By integrating the eutectogel with a roughly patterned polydimethylsiloxane film, we have successfully constructed a triboelectric nanogenerator (TENG) with a maximum output power density of 112 mW m-2. This TENG is capable of generating stable electrical signals even in extreme temperature conditions ranging from -80 to 100 °C and effectively powering electronic devices. Furthermore, the assembled TENG displays high sensitivity as a self-powered sensor, enabling real-time and precise monitoring of signals derived from human motions. This study establishes a promising approach for the development of sustainable and multifunctional flexible electronics that are resilient in extreme environments.

[Epidemiological analysis of in patients with sepsis in a large tertiary general hospital in Southwest China].

OBJECTIVE: To analyze the epidemiological characteristics of hospitalized patients diagnosed with sepsis in a large class III general hospital in Southwest China in a period of 2 years, and to explore the risk factors related to death in patients with sepsis. METHODS: A retrospective study was conducted to select patients with sepsis admitted to Sichuan Provincial People's Hospital from September 1, 2021 to August 31, 2023, and general characteristics such as gender, age, discharge diagnosis, discharge department, hospitalization cost, length of stay, and prognosis during hospitalization were collected. The baseline of two groups of patients was compared, and the risk factors of in-hospital cause of death in patients with sepsis were analyzed by multivariate Logistic regression. RESULTS: A total of 3 568 patients with sepsis were included with median age of 58 (35, 74) years old. Of all patients, there were 2 147 males (60.17%). The median length of hospitalization was 13 (8, 24) days, and the median hospitalization cost was 3.98 (1.87, 8.83) ten thousand yuan. The departments with more than 100 cases of sepsis in 2 years were central intensive care unit (ICU), pediatrics department, nephrology department, emergency medicine department, emergency intensive care unit (EICU), infectious department, respiratory medicine department, hematology department, neonatal care unit and emergency surgical department. A total of 1 210 patients (33.91%) admitted to ICU (including central ICU and EICU). The hospitalization cost of ICU patients were higher [6.7 (3.1, 15.5) ten thousand yuan], the hospitalization duration was longer [9 (3, 17) days], and the mortality was higher [35.29% (427/1 210)]. Among 3 568 patients with sepsis, 448 died and 3 120 survived during hospitalization. The age, male proportion and hospitalization cost of patients with sepsis in the death group were significantly higher than those in the survival group [age (years old): 75 (60, 86) vs. 57 (30, 71), male proportion: 67.86% (304/448) vs. 59.07% (1 843/3 120), hospitalization cost (ten thousand yuan): 6.7 (3.0, 16.9) vs. 3.7 (1.8, 8.1)], the ratio of diabetes mellitus was significantly lower than that of survival group [4.91% (22/448) vs. 10.45% (326/3 120)], the length of hospitalization was shorter than that of survival group [days: 10.0 (3.0, 19.0) vs. 13.0 (8.0, 24.0)], the differences were statistically significant (all P < 0.01). Multivariate Logistic regression analysis showed that male [odds ratio (OR) = 0.75, 95% confidence interval (95%CI) was 0.59-0.96], elder (OR = 1.04, 95%CI was 1.03-1.05) and diabetes (OR = 0.32, 95%CI was 0.19-0.54) were independent risk factors for in-hospital death in patients with sepsis (all P < 0.05). CONCLUSIONS: Sepsis is a heavy burden in Southwest China, especially for ICU, with high mortality, high hospitalization costs, and heavy economic burden on patients and society. Male, elder and diabetes were independent risk factors for in-hospital death of sepsis patients.

Effect of music therapy combined with aerobic exercise on sleep quality among breast cancer patients undergoing chemotherapy after a radical mastectomy: a randomized controlled trial.

PURPOSE: We aimed to study the effect of music therapy combined with aerobic exercise on the sleep quality of patients undergoing chemotherapy after a radical mastectomy. METHODS: A randomized controlled trial was conducted at the Breast Disease Diagnosis and Treatment Center, Shaanxi Province Tumor Hospital, from July 2017 to June 2019. 110 female breast cancer patients who underwent a radical mastectomy were recruited and randomly allocated into an intervention group or a control group. The intervention group completed music therapy combined with aerobic exercise from the first to the sixth admission to the hospital for chemotherapy, while the control group received only routine nursing care. The sleep quality of these patients was measured using the Pittsburgh Sleep Quality Index (PSQI). A linear mixed model was used to adjust the PSQI of patients after controlling for other confounding factors. RESULTS: The mean sleep quality score of the breast cancer patients who received chemotherapy after a radical mastectomy (baseline) was 8.86 ± 2.34. The intervention group had a significantly lower mean global PSQI score than the control group from the first test to the third test, with an adjusted mean difference of -1.05 (95%CI: -1.86, -0.24; P = 0.01), -2.89 (95%CI: -3.70, -2.08; P < 0.001) and - 4.84 (95%CI: -5.65, -4.03; P < 0.001), respectively. A change in the global PSQI score from baseline for the intervention group was from 0.55 (95%CI: -0.24, 1.34; P = 0.171) at the first test to 2.75 (95%CI: 1.96, 3.53; P < 0.001) at the last test, and for the control group was from - 0.51 (95%CI: -1.31, 0.29; P = 0.213 at the first test to -2.10 (95%CI: -2.91, -1.30; P < 0.001) at the last test. CONCLUSIONS: An intervention of music therapy combined with aerobic exercise can significantly improve the sleep quality of female breast cancer patients undergoing chemotherapy after a radical mastectomy, and this intervention continuously improves many aspects of sleep reactivity. CLINICAL TRIAL REGISTRATION: This study was registered in the Chinese Clinical Trial Registry (ChiCTR2100042975, 02/02/2021).

Optimize individualized energy delivery for septic patients using predictive deep learning models.

BACKGROUND AND OBJECTIVES: We aim to establish deep learning models to optimize the individualized energy delivery for septic patients. METHODS AND STUDY DESIGN: We conducted a study of adult septic patients in ICU, collecting 47 indicators for 14 days. We filtered out nutrition-related features and divided the data into datasets according to the three metabolic phases proposed by ESPEN: acute early, acute late, and rehabilitation. We then established optimal energy target models for each phase using deep learning and conducted external validation. RESULTS: A total of 179 patients in training dataset and 98 patients in external validation dataset were included in this study, and total data size was 3115 elements. The age, weight and BMI of the patients were 63.05 (95%CI 60.42-65.68), 61.31(95%CI 59.62-63.00) and 22.70 (95%CI 22.21-23.19), respectively. And 26.0% (72) of the patients were female. The models indicated that the optimal energy targets in the three phases were 900kcal/d, 2300kcal/d, and 2000kcal/d, respectively. Excessive energy intake increased mortality rapidly in the early period of the acute phase. Insufficient energy in the late period of the acute phase significantly raised the mortality as well. For the rehabilitation phase, too much or too little energy delivery were both associated with elevated death risk. CONCLUSIONS: Our study established time-series prediction models for septic patients to optimize energy delivery in the ICU. We recommended permissive underfeeding only in the early acute phase. Later, increased energy intake may improve survival and settle energy debts caused by underfeeding.

Influence of Intravenous Magnesium Sulfate Infusion on the Subjective Postoperative Quality of Recovery: A Meta-Analysis of Randomized Controlled Trials.

This meta-analysis investigated the effects of intravenous magnesium sulfate on the postoperative recovery quality, as assessed using the Quality of Recovery (QoR) questionnaire, in adult surgical patients. Seven randomized controlled trials involving 622 patients were included. Compared with the placebo, magnesium sulfate significantly improved the global QoR score on postoperative day 1 (standardized mean difference [SMD]: 1.24; 95% confidence interval: 0.70-1.78; p < 0.00001). It also enhanced specific QoR dimensions, with substantial effects on pain (SMD: 1, p < 0.00001) and physical comfort (SMD: 0.85, p < 0.0001), a moderate effect on emotional state (SMD: 0.65, p = 0.002), and small improvements in physical independence (SMD: 0.43, p < 0.00001) and psychological support (SMD: 0.37, p < 0.0001). In addition, magnesium sulfate reduced the intraoperative opioid consumption (SMD: -0.66, p < 0.0001), postoperative pain severity, and the incidence of postoperative nausea and vomiting (risk ratio: 0.48, p = 0.008). The extubation times were unaffected, whereas the post-anesthesia care unit stay was slightly prolonged. These findings highlight the potential of magnesium sulfate as a valuable adjunct for multimodal analgesia and enhanced recovery. Future studies should aim to elucidate the optimal dosing strategies, timing of administration, and specific surgical populations that may derive maximum benefits.

Attitude and utilization of ChatGPT among registered nurses: A cross-sectional study.

AIM: This study explores the influencing factors of attitudes and behaviors toward use of ChatGPT based on the Technology Acceptance Model among registered nurses in Taiwan. BACKGROUND: The complexity of medical services and nursing shortages increases workloads. ChatGPT swiftly answers medical questions, provides clinical guidelines, and assists with patient information management, thereby improving nursing efficiency. INTRODUCTION: To facilitate the development of effective ChatGPT training programs, it is essential to examine registered nurses' attitudes toward and utilization of ChatGPT across diverse workplace settings. METHODS: An anonymous online survey was used to collect data from over 1000 registered nurses recruited through social media platforms between November 2023 and January 2024. Descriptive statistics and multiple linear regression analyses were conducted for data analysis. RESULTS: Among respondents, some were unfamiliar with ChatGPT, while others had used it before, with higher usage among males, higher-educated individuals, experienced nurses, and supervisors. Gender and work settings influenced perceived risks, and those familiar with ChatGPT recognized its social impact. Perceived risk and usefulness significantly influenced its adoption. DISCUSSION: Nurse attitudes to ChatGPT vary based on gender, education, experience, and role. Positive perceptions emphasize its usefulness, while risk concerns affect adoption. The insignificant role of perceived ease of use highlights ChatGPT's user-friendly nature. CONCLUSION: Over half of the surveyed nurses had used or were familiar with ChatGPT and showed positive attitudes toward its use. Establishing rigorous guidelines to enhance their interaction with ChatGPT is crucial for future training. IMPLICATIONS FOR NURSING AND HEALTH POLICY: Nurse managers should understand registered nurses' attitudes toward ChatGPT and integrate it into in-service education with tailored support and training, including appropriate prompt formulation and advanced decision-making, to prevent misuse.

Photoelectrochemical Solution Gated Graphene Field-Effect Transistor Functionalized by Enzymatic Cascade Reaction for Organophosphate Detection.

Solution Gated Graphene Field-Effect Transistors (SGGT) are eagerly anticipated as an amplification platform for fabricating advanced ultra-sensitive sensors, allowing significant modulation of the drain current with minimal gate voltage. However, few studies have focused on light-matter interplay gating control for SGGT. Herein, this challenge is addressed by creating an innovative photoelectrochemical solution-gated graphene field-effect transistor (PEC-SGGT) functionalized with enzyme cascade reactions (ECR) for Organophosphorus (OPs) detection. The ECR system, consisting of acetylcholinesterase (AChE) and CuBTC nanomimetic enzymes, selectively recognizes OPs and forms o-phenylenediamine (oPD) oligomers sediment on the PEC electrode, with layer thickness related to the OPs concentration, demonstrating time-integrated amplification. Under light stimulation, the additional photovoltage generated on the PEC gate electrode is influenced by the oPD oligomers sediment layer, creating a differentiated voltage distribution along the gate path. PEC-SGGT, inherently equipped with built-in amplification circuits, sensitively captures gate voltage changes and delivers output with an impressive thousandfold current gain. The seamless integration of these three amplification modes in this advanced sensor allows a good linear range and highly sensitive detection of OPs, with a detection limit as low as 0.05 pm. This work provides a proof-of-concept for the feasibility of light-assisted functionalized gate-controlled PEC-SGGT for small molecule detection.

MS-20 enhances the gut microbiota-associated antitumor effects of anti-PD1 antibody.

Cancer immunotherapy has been regarded as a promising strategy for cancer therapy by blocking immune checkpoints and evoking immunity to fight cancer, but its efficacy seems to be heterogeneous among patients. Manipulating the gut microbiota is a potential strategy for enhancing the efficacy of immunotherapy. Here, we report that MS-20, also known as "Symbiota®", a postbiotic that comprises abundant microbial metabolites generated from a soybean-based medium fermented with multiple strains of probiotics and yeast, inhibited colon and lung cancer growth in combination with an anti-programmed cell death 1 (PD1) antibody in xenograft mouse models. Mechanistically, MS-20 remodeled the immunological tumor microenvironment by increasing effector CD8+ T cells and downregulating PD1 expression, which were mediated by the gut microbiota. Fecal microbiota transplantation (FMT) from mice receiving MS-20 treatment to recipient mice increased CD8+ T-cell infiltration into the tumor microenvironment and significantly improved antitumor activity when combined with anti-PD1 therapy. Notably, the abundance of Ruminococcus bromii, which increased following MS-20 treatment, was positively associated with a reduced tumor burden and CD8+ T-cell infiltration in vivo. Furthermore, an ex vivo study revealed that MS-20 could alter the composition of the microbiota in cancer patients, resulting in distinct metabolic pathways associated with favorable responses to immunotherapy. Overall, MS-20 could act as a promising adjuvant agent for enhancing the efficacy of immune checkpoint-mediated antitumor therapy.

Classification and regression machine learning models for predicting the combined toxicity and interactions of antibiotics and fungicides mixtures.

Antibiotics and triazole fungicides coexist in varying concentrations in natural aquatic environments, resulting in complex mixtures. These mixtures can potentially affect aquatic ecosystems. Accurately distinguishing synergistic and antagonistic mixtures and predicting mixture toxicity are crucial for effective mixture risk assessment. We tested the toxicities of 75 binary mixtures of antibiotics and fungicides against Auxenochlorella pyrenoidosa. Both regression and classification models for these mixtures were developed using machine learning models: random forest (RF), k-nearest neighbors (KNN), and kernel k-nearest neighbors (KKNN). The KKNN model emerged as the best regression model with high values of determination coefficient (R2 = 0.977), explained variance in prediction leave-one-out (Q2LOO = 0.894), and explained variance in external prediction (Q2F1 = 0.929, Q2F2 = 0.929, and Q2F3 = 0.923). The RF model, the leading classifier, exhibited high accuracy (accuracy = 1 for the training set and 0.905 for the test set) in distinguishing the synergistic and antagonistic mixtures. These results provide crucial value for the risk assessment of mixtures.

Comparison of supraclavicular block with infraclavicular block for distal arm surgeries: A meta-analysis of randomized controlled studies.

BACKGROUND: Supraclavicular and infraclavicular nerve block are commonly used for the analgesia of distal arm surgeries, and this meta-analysis aims to compare their analgesic efficacy for distal arm surgeries. METHODS: We searched several databases including PubMed, Embase, Web of Science, EBSCO, and Cochrane library databases, and selected the randomized controlled trials exploring the analgesic efficacy of supraclavicular block versus infraclavicular block for distal arm surgeries. This meta-analysis was conducted using the random-effect or fixed-effect model based on the heterogeneity. RESULTS: Six randomized controlled trials were included in this meta-analysis. Compared with infraclavicular nerve block for distal arm surgeries, supraclavicular nerve block was associated with substantially reduced complete sensory block (odds ratio [OR] = 0.41; 95% confidence interval [CI] = 0.19-0.88; P = .02) and block performance time (standard mean difference [SMD] = -3.06; 95% CI = -5.82--0.31; P = .03), but had no effect on duration of analgesia (SMD = -0.15; 95% CI = -0.49-0.18; P = .36), time to sensory block (SMD = -0.41; 95% CI = -2.28-1.47; P = .67), vascular puncture (OR = 1.03; 95% CI = 0.11-10.05; P = .98) or adverse events (OR = 0.70; 95% CI = 0.12-4.04; P = .69). CONCLUSIONS: Infraclavicular nerve block may be superior to supraclavicular nerve block for the analgesia of distal arm surgeries but needs increased block performance time.

Safety and effectiveness of remdesivir in hospitalized patients with COVID-19 and severe renal impairment: experience at a large medical center.

BACKGROUND: Literature on the safety of remdesivir in hospitalized COVID-19 patients with severe renal impairment is limited. We aimed to investigate the safety and effectiveness of remdesivir in this population. METHODS: We conducted a retrospective cohort study of adult hospitalized COVID-19 patients who received remdesivir between April 2022 and October 2022. Outcomes were compared between estimated glomerular filtration rate (eGFR) <30 mL/min/1.73 m2 and ≥30 mL/min/1.73 m2 groups. The primary safety outcomes were acute kidney injury (AKI) and bradycardia, while the primary effectiveness outcomes included mortality in COVID-19-dedicated wards and hospital mortality. Secondary outcomes included laboratory changes, disease progression, and recovery time. RESULTS: A total of 1,343 patients were recruited, with 307 (22.9%) in the eGFR <30 group and 1,036 (77.1%) in the eGFR ≥30 group. Patients with an eGFR <30 had higher risks of AKI (adjusted hazard ratio [aHR] 2.92, 95% CI 1.93-4.44) and hospital mortality (aHR 1.47, 95% CI 1.06-2.05) but had comparable risks of bradycardia (aHR 1.15, 95% CI 0.85-1.56) and mortality in dedicated wards (aHR 1.43, 95% CI 0.90-2.28) than patients with an eGFR ≥30. Risk of disease progression was higher in the eGFR <30 group (adjusted odds ratio 1.62, 95% CI 1.16-2.26). No difference between the two groups in laboratory changes and recovery time. CONCLUSIONS: Hospitalized COVID-19 patients receiving remdesivir with severe renal impairment had an increased risk of AKI, hospital mortality, and COVID-19 disease progression compared to patients without severe renal impairment.

National expert consensus on short-acting beta2-agonist overreliance in asthma care in Malaysia.

OBJECTIVE: Inappropriate use of short-acting beta2-agonists (SABA) in asthma has been associated with undesired outcomes. This national expert consensus was developed to increase awareness of SABA overuse and provide recommendations on the ways to eliminate SABA overprescription and overreliance in Malaysia. DATA SOURCES: This expert consensus was developed by searching the PubMed database, using index terms to identify SABA overuse-related burden and recommendations made in asthma guidelines. Consensus recommendations were made via the Delphi method, involving a Malaysian expert committee comprising 13 healthcare professionals (five pulmonologists, four family medicine specialists, two emergency medicine physicians and two pharmacists). STUDY SELECTIONS: The articles reviewed include randomized controlled trials, systematic reviews, meta-analyses, observational studies, guidelines, and surveys, with abstracts in English and published up until June 2023. Relevant recommendations were also sourced from verified websites of medical organizations and societies. RESULTS: Eleven consensus statements were developed, each statement achieving a priori agreement level of at least 70%. The statements reflect SABA overreliance in asthma care, as well as recommendations to eliminate SABA overprescription and overreliance in Malaysia. Supporting evidence in the literature as well as expert committee discussions leading to the development of the finalized statements were elaborated. CONCLUSION: This national expert consensus discussed the burden of SABA overreliance and made specific recommendations to eliminate SABA overprescription and overreliance in the Malaysian context. This consensus document is anticipated to impart better awareness among Malaysian healthcare providers and contribute to the continuous improvement of asthma care in the country.

Comparison and optimization of different CRISPR/Cas9 donor-adapting systems for gene editing.

Gene knock-in in mammalian cells usually uses homology-directed repair (HDR) mechanism to integrate exogenous DNA template into the target genome site. However, HDR efficiency is often low, and the co-localization of exogenous DNA template and target genome site is one of the key limiting factors. To improve the efficiency of HDR mediated by CRISPR/Cas9 system, our team and previous studies fused different adaptor proteins with SpCas9 protein and expressed them. By using their characteristics of binding to specific DNA sequences, many different CRISPR/SpCas9 donor adapter gene editing systems were constructed. In this study, we used them to knock-in eGFP gene at the 3'-end of the terminal exon of GAPDH and ACTB genes in HEK293T cells to facilitate a comparison and optimization of these systems. We utilized an optimized donor DNA template design method, validated the knock-in accuracy via PCR and Sanger sequencing, and assessed the efficiency using flow cytometry. The results showed that the fusion of yGal4BD, hGal4BD, hLacI, hTHAP11 as well as N57 and other adaptor proteins with the C-terminus of SpCas9 protein had no significant effect on its activity. At the GAPDH site, the donor adapter systems of SpCas9 fused with yGal4BD, hGal4BD, hLacI and hTHAP11 significantly improved the knock-in efficiency. At the ACTB site, SpCas9 fused with yGal4BD and hGal4BD significantly improved the knock-in efficiency. Furthermore, increasing the number of BS in the donor DNA template was beneficial to enhance the knock-in efficiency mediated by SpCas9-hTHAP11 system. In conclusion, this study compares and optimizes multiple CRISPR/Cas9 donor adapter gene editing systems, providing valuable insights for future gene editing applications.