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Adaptive fusion of multi-cultural visual elements using deep learning in cross-cultural visual communication design
Factors influencing elbow function after internal fixation of complex distal humeral fractures in adults
Measuring correlation and entanglement between molecular orbitals on a trapped-ion quantum computer
Abstract Quantifying correlation and entanglement between molecular orbitals can elucidate the role of quantum effects in strongly correlated reaction processes. However, accurately storing the wavefunction for a classical computation of those quantities can be prohibitive. Here we use the Quantinuum H1-1 trapped-ion quantum computer to calculate von Neumann entropies which quantify the orbital correlation and entanglement in a strongly correlated molecular system relevant to lithium-ion batteries (vinylene carbonate interacting with an O2 molecule). As shown in previous works, fermionic superselection rules decrease correlations and reduce measurement overheads for constructing orbital reduced density matrices. Taking into account superselection rules we further reduce the number of measurements by finding commuting sets of Pauli operators. Using low overhead noise reduction techniques, we calculate von Neumann entropies in excellent agreement with noiseless benchmarks, indicating that correlations and entanglement between molecular orbitals can be accurately estimated from a quantum computation. Our results show that the one-orbital entanglement vanishes unless opposite-spin open shell configurations are present in the wavefunction.
Green PEGylated-Sily@ZnFe2O4 nanocomposites for amelioration of ROS and DNA damage in rat liver
Deep learning and digital twin integration for structural damage detection in ancient pagodas
Curcumin supplementation improves the clinical outcomes of patients with diabetes and atherosclerotic cardiovascular risk
Abstract Atherosclerotic cardiovascular diseases (ASCVD) significantly contribute to global mortality, especially in type 2 diabetes mellitus (T2DM), necessitating effective preventive strategies. Curcumin is proposed to lower blood pressure, glucose level, and improve lipid profiles as an adjunctive treatment. The study aimed to assess the safety and efficacy of Curcumin supplementation on clinical outcomes and ASCVD risk of T2DM patients. Seventy-two diabetic patients with an ASCVD risk score of ≥ 5% were randomly assigned to Curcumin group (500 mg Turmeric curcumin® thrice daily + conventional therapy) or Control group (conventional therapy only). Curcumin significantly reduced SBP and DBP (P ≤ 0.001 and P = 0.020, respectively) and improved ASCVD risk classification (P = 0.004). LDL-C (P = 0.024), TNF-α (P = 0.044), and MDA (P = 0.028) levels decreased, while HDL-C increased (P = 0.024) versus control. No significant differences were found between groups regarding HbA1c, FBG, TC or TG (P > 0.05). Mild adverse effects were reported, including nausea (13.9%), headache (11.1%), yellow stool (11.1%), and diarrhea (5.6%). It is concluded that Curcumin improves ASCVD risk classification, lowers SBP, DBP, LDL-C, TNF-alpha, and MDA, increases HDL-C, and is well tolerated with minor adverse effects, without impacting on BMI, HR, HbA1c, FBG, TC, or TG.
RETRACTED ARTICLE: PGRP-S promotes hepatocellular carcinoma progression via MAPK/ERK pathway by interaction with TTC1
Efficient recycling of spent Li-ion battery cathodes by laser-induced high-temperature thermal shock
Optimized summary-statistic-based single-cell eQTL meta-analysis
Abstract The identification of expression quantitative trait loci (eQTLs) holds great potential to improve the interpretation of disease-associated genetic variation. As many such disease-associated variants act in a context-, tissue- or even cell-type-specific manner, single-cell RNA-sequencing (scRNA-seq) data is uniquely suitable for identifying the specific cell type or context in which these genetic variants act. However, due to the limited sample sizes in single-cell studies, discovery of cell-type-specific eQTLs is now limited. To improve power to detect such eQTLs, large-scale joint analyses are needed. These are however, complicated by privacy constraints due to sharing of genotype data and the measurement and technical variety across different scRNA-seq datasets as a result of differences in mRNA capture efficiency, experimental protocols, and sequencing strategies. A solution to these issues is a federated weighted meta-analysis (WMA) approach in which summary statistics are integrated using dataset-specific weights. Here, we compare different strategies and provide best practice recommendations for eQTL WMA across scRNA-seq datasets.
Replisomes restrict SMC translocation in vivo
Abstract Structural maintenance of chromosomes (SMC) complexes organize genomes by extruding DNA loops, while replisomes duplicate entire chromosomes. These essential molecular machines must collide frequently in every cell cycle, yet how such collisions are resolved in vivo remains poorly understood. Taking advantage of the ability to load SMC complexes at defined sites in the Bacillus subtilis genome, we engineered head-on and head-to-tail collisions between SMC complexes and the replisome. Replisome progression was monitored by genome-wide marker frequency analysis, and SMC translocation was monitored by time-resolved ChIP-seq and Hi-C. We found that SMC complexes do not impede replisome progression. By contrast, replisomes restrict SMC translocation regardless of collision orientations. Combining experimental data with simulations, we determined that SMC complexes are blocked by the replisome and then released from the chromosome. Occasionally, SMC complexes can bypass the replisome and continue translocating. Our findings establish that the replisome is a barrier to SMC-mediated DNA-loop extrusion in vivo, with implications for processes such as chromosome segregation, DNA repair, and gene regulation that require dynamic chromosome organization in all organisms.
Polygenic insight identifies precision biomarkers decoding protein catabolism and autophagy pathways in obstructive sleep apnea
Global soil antibiotic resistance genes are associated with increasing risk and connectivity to human resistome
Abstract Soil is a reservoir of antibiotic resistance genes (ARGs), and understanding its connection to human antibiotic resistome is crucial for the One Health framework. Rank I ARGs appear key to deciphering this relationship, but their global distribution and attribution in soil remain unclear. To fill this gap, we analyze 3965 metagenomic data (12 habitats, including soil, feces, sewage) and 8388 genomes of Escherichia coli isolates. Results show that soil ARG risk has increased over time (from 2008 to 2021). We introduce a “connectivity” metric that evaluates cross-habitat ARGs connectivity through sequence similarity and phylogenetic analysis, and reveal higher genetic overlap with clinical E. coli genomes (1985–2023) over time suggesting an increasing link between soil and human resistome. A comparison of 45 million genome pairs suggests that cross-habitat horizontal gene transfer (HGT) is crucial for the connectivity of ARGs between humans and soil. Finally, we compile clinical antibiotic resistance datasets (covering 126 countries from 1998 to 2022) and find significant correlations between soil ARG risk, potential HGT events and clinical antibiotic resistance (R 2 = 0.40–0.89, p < 0.001). Overall, our work provides insights into the ARGs connectivity between soil and humans, and could help identify strategies to prevent dissemination of antibiotic resistance.
Current clinical profiles for Chinese hemodialysis patients
Strengthening phage resistance of Streptococcus thermophilus by leveraging complementary defense systems
Abstract CRISPR-Cas and restriction-modification systems represent the core defense arsenal in Streptococcus thermophilus , but their effectiveness is compromised by phages encoding anti-CRISPR proteins (ACRs) and other counter-defense strategies. Here, we explore the defensome of 263 S. thermophilus strains to uncover other anti-phage systems. The defense landscape of S. thermophilus is enriched by 21 accessory defense systems, 13 of which have never been investigated in this species. Experimental validation of 17 systems with 14 phages reveals a range of anti-phage activities, highlighting both broad and narrow specificities across the five viral genera infecting S. thermophilus . Synergies are observed when combining CRISPR immunity with accessory systems. We also assess the fitness cost associated with the chromosomal integration of these systems in their native context and find no impact under laboratory or industrial conditions. These findings underscore the potential of these accessory defense systems to enhance the resistance of S. thermophilus , particularly against ACR-encoding phages.
Learning behavior aware features across spaces for improved 3D human motion prediction
Lung metastasis and recurrence is mitigated by CAR macrophages, in-situ-generated from mRNA delivered by small extracellular vesicles
Aggregation potency and proinflammatory effects of SARS-CoV-2 proteins
Abstract Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, is primarily known as a respiratory disease. The continued study of the disease has shown that long-term COVID-19 symptoms include persisting effects of the virus on the brain when the infection is over, possibly even leading to neurodegeneration. However, the exact mechanisms of nervous system damage induced by SARS-CoV-2 are still unclear. In this study, we focused on two possibly shared pathways of SARS-CoV-2-induced neural dysfunction and neurodegeneration: protein aggregation, which is associated with impaired protein clearance, and inflammatory responses, which involve a hyper-active immune status. We observed distinct expression and distribution patterns of ten SARS-CoV-2 proteins in the two cell lines, meanwhile forming aggregation puncta and inducing pro-inflammatory responses. We found that the ER stress was induced and that the autophagy-lysosome pathway was inhibited upon viral protein expression. Boosting autophagy function attenuated protein aggregation, suggesting that modulation of autophagy might be a valid strategy for inhibiting cytotoxic effects of SARS-CoV- 2 proteins. Our study provides potential explanations of SARS-CoV-2-induced cell damage, based on shared cellular mechanisms and furthermore, suggests that modulation of proteostasis may serve as therapeutic strategies for preventing long-lasting SARS-CoV-2 cytotoxic effects.