Longitudinal tracking of perfluorooctanoic acid exposure on mammary epithelial cell spheroids by dynamic optical coherence tomography.

We investigated the morphology and intracellular motility of mammary epithelial cell (MCF10DCIS.com) spheroids cultured in 3D artificial extracellular matrix under perfluorooctanoic acid (PFOA) exposure. Dynamic optical coherence tomography (OCT) was employed for real-time, non-invasive imaging of these spheroids longitudinally over 12 days under PFOA exposures up to 500 µM. Despite no significant changes in volume or asphericity of spheroids, morphological alterations were observed in OCT images of spheroids at 100 µM on Day 12 and from Day 4 at 500 µM. Intracellular motility was assessed by the inverse-power-law exponent of the speckle fluctuation spectrum (α), and an autocorrelation-based motility amplitude (M). Linear regression indicated that both PFOA concentration and culture time are highly significant predictors for both α and M (p < 0.001 for all). Both PFOA concentration and culture time have positive associations with α and negative association with M, where increased α indicates suppression of higher frequency fluctuations (∼> 2 Hz) relative to those at lower frequencies, and decreased M indicates overall suppression of intracellular motility. This study can lead to the future development of biomarkers for per- and polyfluoroalkyl substances (PFAS) exposure using dynamic OCT and its associated toolkit of quantitative metrics.

SRNSD: Structure-Regularized Night-Time Self-Supervised Monocular Depth Estimation for Outdoor Scenes.

Deep CNNs have achieved impressive improvements for night-time self-supervised depth estimation form a monocular image. However, the performance degrades considerably compared to day-time depth estimation due to significant domain gaps, low visibility, and varying illuminations between day and night images. To address these challenges, we propose a novel night-time self-supervised monocular depth estimation framework with structure regularization, i.e., SRNSD, which incorporates three aspects of constraints for better performance, including feature and depth domain adaptation, image perspective constraint, and cropped multi-scale consistency loss. Specifically, we utilize adaptations of both feature and depth output spaces for better night-time feature extraction and depth map prediction, along with high- and low-frequency decoupling operations for better depth structure and texture recovery. Meanwhile, we employ an image perspective constraint to enhance the smoothness and obtain better depth maps in areas where the luminosity jumps change. Furthermore, we introduce a simple yet effective cropped multi-scale consistency loss that utilizes consistency among different scales of depth outputs for further optimization, refining the detailed textures and structures of predicted depth. Experimental results on different benchmarks with depth ranges of 40m and 60m, including Oxford RobotCar dataset, nuScenes dataset and CARLA-EPE dataset, demonstrate the superiority of our approach over state-of-the-art night-time self-supervised depth estimation approaches across multiple metrics, proving our effectiveness.

What is the Difference between Conventional Drinking Water, Potable Reuse Water, and Nonpotable Reuse Water? A Microbiome Perspective.

As water reuse applications expand, there is a need for more comprehensive means to assess water quality. Microbiome analysis could provide the ability to supplement fecal indicators and pathogen profiling toward defining a "healthy" drinking water microbiota while also providing insight into the impact of treatment and distribution. Here, we utilized 16S rRNA gene amplicon sequencing to identify signature features in the composition of microbiota across a wide spectrum of water types (potable conventional, potable reuse, and nonpotable reuse). A clear distinction was found in the composition of microbiota as a function of intended water use (e.g., potable vs nonpotable) across a very broad range of U.S. water systems at both the point of compliance (Betadisper p > 0.01; ANOSIM p < 0.01, r-stat = 0.71) and point of use (Betadisper p > 0.01; ANOSIM p < 0.01, r-stat = 0.41). Core and discriminatory analysis further served in identifying distinct differences between potable and nonpotable water microbiomes. Taxa were identified at both the phylum (Desulfobacterota, Patescibacteria, and Myxococcota) and genus (Aeromonas and NS11.12_marine_group) levels that effectively discriminated between potable and nonpotable waters, with the most discriminatory taxa being core/abundant in nonpotable waters (with few exceptions, such as Ralstonia being abundant in potable conventional waters). The approach and findings open the door to the possibility of microbial community signature profiling as a water quality monitoring approach for assessing efficacy of treatments and suitability of water for intended use/reuse application.

Levosimendan and Atrial Fibrillation: A Meta-Analysis of Randomized Controlled Trials. / Levosimendana e Fibrilação Atrial: Uma Metanálise de Ensaios Clínicos Randomizados.

BACKGROUND: Atrial fibrillation (AF) is a prevalent complication associated with levosimendan; however, it remains uncertain whether there are any disparities in the effects of levosimendan on non-postoperative and postoperative AF. OBJECTIVES: This study aimed to evaluate the levosimendan effect on non-postoperative and postoperative AF by conducting a meta-analysis of randomized control trials (RCTs). METHODS: PubMed, Embase, Cochrane Library, and other databases were searched. Pairs of reviewers identified RCTs that compared levosimendan and placebo or other therapies, and the results reported AF events data. Random effects models were used (at a significance level of 5%). RESULTS: Twenty-nine eligible trials comprising 6550 participants were included, eleven of which evaluated the non-postoperative AF incidence, and 18 included postoperative AF. The analysis revealed that levosimendan elevated the AF risk significantly in the non-postoperative group (OR, 1.62; 95% CI: 1.19-2.20; p=0.002) and reduced the AF incidence in the postoperative group (OR, 0.65; 95% CI: 0.44-0.96; p=0.03). AF occurrence decreased more significantly in patients who used levosimendan after cardiac surgery (OR, 0.53; 95% CI: 0.32-0.88; p=0.02) than in patients who used levosimendan before cardiac surgery (OR, 0.67; 95% CI: 0.42-1.06; p=0.09). Moreover, The AF risk was significantly elevated by levosimendan large bolus dose (bolus dose≥12 µg/kg) (OR, 1.44; 95% CI: 1.10-1.88; p=0.004) and decreased by small bolus dose of levosimendan (bolus dose<12 µg/kg) (OR, 0.64; 95% CI: 0.34-1.20; p=0.16). CONCLUSION: Levosimendan was linked to an increased non-postoperative AF incidence. The employment of levosimendan was effective in preventing postoperative AF.

FUNDAMENTO: A fibrilação atrial (FA) é uma complicação prevalente associada à levosimendana; no entanto, permanece incerto se existem disparidades nos efeitos da levosimendana na FA não pós-operatória e pós-operatória. OBJETIVOS: Este estudo teve como objetivo avaliar o efeito da levosimendana na FA não pós-operatória e pós-operatória conduzindo uma metanálise de ensaios clínicos randomizados (ECR). MÉTODOS: PubMed, Embase, Biblioteca Cochrane e outras bases de dados foram pesquisadas. Pares de revisores identificaram ECRs que compararam levosimendana e placebo ou outras terapias, e os resultados relataram dados de eventos de FA. Foram utilizados modelos de efeitos aleatórios (com nível de significância de 5%). RESULTADOS: Foram incluídos 29 ensaios elegíveis compreendendo 6.550 participantes, onze dos quais avaliaram a incidência de FA não pós-operatória e 18 incluíram FA pós-operatória. A análise revelou que a levosimendana elevou significativamente o risco de FA no grupo não pós-operatório (OR, 1,62; IC 95%: 1,19-2,20; p=0,002) e reduziu a incidência de FA no grupo pós-operatório (OR, 0,65; IC 95%: 0,44-0,96; p=0,03). A ocorrência de FA diminuiu mais significativamente em pacientes que usaram levosimendana após cirurgia cardíaca (OR, 0,53; IC 95%: 0,32-0,88; p=0,02) do que em pacientes que usaram levosimendana antes da cirurgia cardíaca (OR, 0,67; IC 95%: 0,42-1,06; p=0,09). O risco de FA foi significativamente elevado pela grande dose em bolus de levosimendana (dose em bolus ≥12 µg/kg) (OR, 1,44; IC 95%: 1,10-1,88; p=0,004) e diminuído pela pequena dose em bolus de levosimendana (dose em bolus <12 µg/kg) (OR, 0,64; IC 95%: 0,34-1,20; p=0,16). CONCLUSÃO: A levosimendana foi associada a um aumento da incidência de FA não pós-operatória. O emprego da levosimendana foi eficaz na prevenção da FA pós-operatória.

Compressed intracellular motility via non-uniform temporal sampling in dynamic optical coherence tomography.

Significance: Optical coherence tomography has great utility for capturing dynamic processes, but such applications are particularly data-intensive. Samples such as biological tissues exhibit temporal features at varying time scales, which makes data reduction challenging. Aim: We propose a method for capturing short- and long-term correlations of a sample in a compressed way using non-uniform temporal sampling to reduce scan time and memory overhead. Approach: The proposed method separates the relative contributions of white noise, fluctuating features, and stationary features. The method is demonstrated on mammary epithelial cell spheroids in three-dimensional culture for capturing intracellular motility without loss of signal integrity. Results: Results show that the spatial patterns of motility are preserved and that hypothesis tests of spheroids treated with blebbistatin, a motor protein inhibitor, are unchanged with up to eightfold compression. Conclusions: The ability to measure short- and long-term correlations compressively will enable new applications in (3+1)D imaging and high-throughput screening.

Levosimendana e Fibrilação Atrial: Uma Metanálise de Ensaios Clínicos Randomizados / Levosimendan and Atrial Fibrillation: A Meta-Analysis of Randomized Controlled Trials

Resumo Fundamento A fibrilação atrial (FA) é uma complicação prevalente associada à levosimendana; no entanto, permanece incerto se existem disparidades nos efeitos da levosimendana na FA não pós-operatória e pós-operatória. Objetivos Este estudo teve como objetivo avaliar o efeito da levosimendana na FA não pós-operatória e pós-operatória conduzindo uma metanálise de ensaios clínicos randomizados (ECR). Métodos PubMed, Embase, Biblioteca Cochrane e outras bases de dados foram pesquisadas. Pares de revisores identificaram ECRs que compararam levosimendana e placebo ou outras terapias, e os resultados relataram dados de eventos de FA. Foram utilizados modelos de efeitos aleatórios (com nível de significância de 5%). Resultados Foram incluídos 29 ensaios elegíveis compreendendo 6.550 participantes, onze dos quais avaliaram a incidência de FA não pós-operatória e 18 incluíram FA pós-operatória. A análise revelou que a levosimendana elevou significativamente o risco de FA no grupo não pós-operatório (OR, 1,62; IC 95%: 1,19-2,20; p=0,002) e reduziu a incidência de FA no grupo pós-operatório (OR, 0,65; IC 95%: 0,44-0,96; p=0,03). A ocorrência de FA diminuiu mais significativamente em pacientes que usaram levosimendana após cirurgia cardíaca (OR, 0,53; IC 95%: 0,32-0,88; p=0,02) do que em pacientes que usaram levosimendana antes da cirurgia cardíaca (OR, 0,67; IC 95%: 0,42-1,06; p=0,09). O risco de FA foi significativamente elevado pela grande dose em bolus de levosimendana (dose em bolus ≥12 μg/kg) (OR, 1,44; IC 95%: 1,10-1,88; p=0,004) e diminuído pela pequena dose em bolus de levosimendana (dose em bolus <12 μg/kg) (OR, 0,64; IC 95%: 0,34-1,20; p=0,16). Conclusão A levosimendana foi associada a um aumento da incidência de FA não pós-operatória. O emprego da levosimendana foi eficaz na prevenção da FA pós-operatória.

Abstract Background Atrial fibrillation (AF) is a prevalent complication associated with levosimendan; however, it remains uncertain whether there are any disparities in the effects of levosimendan on non-postoperative and postoperative AF. Objectives This study aimed to evaluate the levosimendan effect on non-postoperative and postoperative AF by conducting a meta-analysis of randomized control trials (RCTs). Methods PubMed, Embase, Cochrane Library, and other databases were searched. Pairs of reviewers identified RCTs that compared levosimendan and placebo or other therapies, and the results reported AF events data. Random effects models were used (at a significance level of 5%). Results Twenty-nine eligible trials comprising 6550 participants were included, eleven of which evaluated the non-postoperative AF incidence, and 18 included postoperative AF. The analysis revealed that levosimendan elevated the AF risk significantly in the non-postoperative group (OR, 1.62; 95% CI: 1.19-2.20; p=0.002) and reduced the AF incidence in the postoperative group (OR, 0.65; 95% CI: 0.44-0.96; p=0.03). AF occurrence decreased more significantly in patients who used levosimendan after cardiac surgery (OR, 0.53; 95% CI: 0.32-0.88; p=0.02) than in patients who used levosimendan before cardiac surgery (OR, 0.67; 95% CI: 0.42-1.06; p=0.09). Moreover, The AF risk was significantly elevated by levosimendan large bolus dose (bolus dose≥12 μg/kg) (OR, 1.44; 95% CI: 1.10-1.88; p=0.004) and decreased by small bolus dose of levosimendan (bolus dose<12 μg/kg) (OR, 0.64; 95% CI: 0.34-1.20; p=0.16). Conclusion Levosimendan was linked to an increased non-postoperative AF incidence. The employment of levosimendan was effective in preventing postoperative AF.

4f/5d Hybridization Induced Single-Electron Delocalization in an Azide-Bridged Dicerium Complex.

Dilanthanide complexes with one-electron delocalization are important targets for understanding the specific 4f/5d-bonding feature in lanthanide chemistry. Here, we report an isolable azide-bridged dicerium complex 3 [{(TrapenTMS)Ce}2(µ-N3)]• [Trapen = tris (2-aminobenzyl)amine; TMS = SiMe3], which is synthesized by the reaction of tripodal ligand-supported (TrapenTMS)CeIVCl complex 2 with NaN3. The structure and bonding nature of 3 are fully characterized by X-ray crystal diffraction analysis, electron paramagnetic resonance (EPR), magnetic measurement, cyclic voltammetry, X-ray absorption spectroscopy, and quantum-theoretical studies. Complex 3 presents a trans-bent central Ce-N3-Ce unit with a single electron of two mixed-valent Ce atoms. The unique low-temperature (2 K) anisotropic EPR signals [g = 1.135, 2.003, and 3.034] of 3 indicate that its spin density is distributed on the central Ce-N3-Ce unit with marked electron delocalization. Quantum chemical analyses show strong 4f/5d orbital mixing in the singly occupied molecular orbital of 3, which allows for the unpaired electron to extend throughout the cerium-azide-cerium unit via a multicentered one-electron (Ce-N3-Ce) interaction. This work extends the family of mixed-valent dilanthanide complexes and provides a paradigm for understanding the bonding motif of ligand-bridged dilanthanide complexes.

Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions.

Most existing graph neural networks (GNNs) learn node embeddings using the framework of message passing and aggregation. Such GNNs are incapable of learning relative positions between graph nodes within a graph. To empower GNNs with the awareness of node positions, some nodes are set as anchors. Then, using the distances from a node to the anchors, GNNs can infer relative positions between nodes. However, position-aware GNNs (P-GNNs) arbitrarily select anchors, leading to compromising position awareness and feature extraction. To eliminate this compromise, we demonstrate that selecting evenly distributed and asymmetric anchors is essential. On the other hand, we show that choosing anchors that can aggregate embeddings of all the nodes within a graph is NP-complete. Therefore, devising efficient optimal algorithms in a deterministic approach is practically not feasible. To ensure position awareness and bypass NP-completeness, we propose position-sensing GNNs (PSGNNs), learning how to choose anchors in a backpropagatable fashion. Experiments verify the effectiveness of PSGNNs against state-of-the-art GNNs, substantially improving performance on various synthetic and real-world graph datasets while enjoying stable scalability. Specifically, PSGNNs on average boost area under the curve (AUC) more than 14% for pairwise node classification and 18% for link prediction over the existing state-of-the-art position-aware methods. Our source code is publicly available at: https://github.com/ZhenyueQin/PSGNN.

Association between gout and the risk of osteoporosis and fractures: a meta-analysis.

OBJECTIVE: The relationship between gout and osteoporosis is poorly clarified, and the association between gout and fractures incidence remains controversial. Hence, in the present study, we aimed to comprehensively evaluate the available literature to elucidate whether gout is associated with an increased risk of both osteoporosis and fractures. MATERIALS AND METHODS: We conducted an exhaustive search of pertinent literature published until 20 March 2023, in well-recognized databases, namely Medline, Embase and Cochrane Library, focusing on examining the association between gout and the risk of osteoporosis or fracture. Meta-analysis was performed to aggregate the relative risks (RR) using random- or fixed-effects models. Sensitivity analyses were conducted iteratively, whereby each study was removed sequentially to gauge its impact on the overall outcome. Publication bias was assessed using Egger's and Begg's tests. This study was registered with PROSPERO (registry number: CRD42022376822). RESULTS: Herein, we included 10 observational studies comprising a total of 1,606,095 participants. An independent population sample of four studies validated the significant association between gout and osteoporosis (RR = 1.25, 95% confidence interval [CI] 1.05-1.48), with the results demonstrating robustness. However, our analysis did not detect any association between gout and fracture risk when compared with the control group (RR = 1.09, 95%CI 0.99-1.19), along with high heterogeneity (p for heterogeneity = 0.000; I2 = 79.7%). Further subgroup analysis revealed that gout is positively associated with fracture risk in the Chinese population (RR = 1.17, 95%CI 1.14-1.21), with no evidence of heterogeneity (p for heterogeneity = 0.420; I2 = 0.00%). CONCLUSION: Our meticulous evaluation of the available literature indicates that gout has no discernible impact on fracture incidence, although it is positively associated with an enhanced risk of osteoporosis. Therefore, it is imperative to prioritize preventive measures to prevent osteoporotic complications in individuals diagnosed with gout.

Th6-Based Multicomponent Heterometallic Metal-Organic Frameworks Featuring 6,12-Connected Topology for Iodine Adsorption.

Its high coordination number and tendency to cluster make Th4+ suitable for constructing metal-organic frameworks (MOFs) with novel topologies. In this work, two novel thorium-based heterometallic MOF isomers (IHEP-17 and IHEP-18) were assembled from a Th6 cluster, a multifunctional organic ligand [4-(1H-pyrazol-4-yl)benzoic acid (HPyba)], and Cu2+/Ni2+ cations via the one-pot solvothermal synthesis strategy. The framework features a 6,12-connected new topology net and contains two kinds of supramolecular cage structures, Th36M4 and Th24M2, suitable for guest exchange. Both MOF materials can efficiently adsorb I2. X-ray photoelectron spectroscopy, Raman spectroscopy, and single-crystal X-ray diffraction indicate that the adsorbed iodine is uniformly distributed within the Th36M4 cage but not the Th24M2 cage in the form of I3-.