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A cobalt(i) complex is shown to be capable of both electrocatalytic reduction and hydrogenation of CO2 to formate. Several proposed intermediates are characterized and thus form the basis for a proposed mechanism that allows for the dual reactivity reduction of CO2via H2 addition, and H+/e- equivalents. The work makes use of a novel tris(phosphino) ligand. When a pendent amine is attached to the ligand, no change in catalytic reactivity is observed.This work describes a two-chip acoustofluidic platform for two-dimensional (2D) manipulation of microparticles in a closed microchamber on a reusable surface acoustic wave (SAW) device. This platform comprises two microfabricated chips (1) a detachable silicon superstrate enclosed by a PDMS microfluidic chamber and (2) a reusable SAW device for generating standing SAW (SSAW), which is typically an expensive component. Critical to such a two-chip acoustofluidic platform is the selection of a suitable coupling agent at the interface of the SAW device and superstrate. To this end, we applied a polymer thin film as a coupling agent that balances between acoustic coupling efficiency, stability over time, and reusability. Recycling of the SAW device lowers the cost-barrier for acoustofluidic particle manipulation. The SSAW is transmitted into the silicon superstrate via the coupling agent to form a standing Lamb wave (SLW) to trap and move microparticles. The reported two-chip strategy enables the single-use microfluidic superstrates to avoid chemical and biological contaminations, while maintaining the merits of acoustofluidic manipulation of being noncontact and label-free and applicable to a wide range of microparticles with different shapes, density, polarity, and electrical properties.Xuebijing (XBJ) is a compound Chinese medicine that contains Paeoniae Radix Rubra, ChuanXiong Rhizoma, Salvia Miltiorrhiza Radix et Rhizoma, Carthami Flos, and Angelicae Sinensis Radix. It is widely used in China to treat sepsis. Previous studies have demonstrated that XBJ can decrease mortality in patients with moderate paraquat poisoning. However, the mechanism by which it exerts this effect is not completely clear. In this study, an ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS/MS)-based metabolomics approach was used to perform a metabolic profiling analysis. Principal component analysis (PCA), random forest (RF), and partial least squares discriminant analysis (PLS-DA) were used to identify metabolites to clarify the mechanism of XBJ's activity. XBJ clearly alleviated lung injury in a Sprague Dawley (SD) rat model of paraquat (PQ) poisoning. Seven metabolites related to four pathways, including those involved in sphingolipid and phospholipid metabolism, amino acid metabolism, unsaturated fatty acid metabolism, and pantothenic acid and CoA biosynthesis, were present at different levels in PQ-poisoned rats treated with XBJ compared with untreated rats. XBJ can ameliorate the effects of PQ poisoning in SD rats. Using a metabolomics approach enabled us to gain new insight into the mechanism underlying this effect.Hepatocellular carcinoma (HCC) is a common malignancy worldwide with poor prognosis. The early identification and precise resection of HCC are essential for improving the prognosis and overall survival of patients. In clinical practice, fluorescence imaging is a powerful technology to identify and remove HCC lesions, but accurate and reliable detection of HCC continues to remain a challenge due to non-specificity and false-positive uptake of probes. To circumvent these problems, it is crucial to design a specific probe for the accurate detection of HCC. Herein, we reported the design and synthesis of an NIR fluorescent probe by conjugating IRDye800CW with melatonin, which plays a significant role in the HCC development. The in vivo imaging revealed that IRDye800-MT was uptake specifically by the HCC tumor with a high tumor-to-background ratio. These results demonstrated that IRDye800-MT might hold clinical potentials for future diagnosis of HCC patients.Hybrid nanocomposites based on UiO-66-NH2 and carboxyl-functionalized carbon nanotubes were developed in this study via different synthetic pathways. Combining them through interfacial in situ growth was beneficial for the better dispersity of UiO-66-NH2 in the CNTs@UiO-66-NH2 composite than physically mixing CNTs/UiO-66-NH2 and chemically bonded CNTs-CONH-UiO-66. Coordination between carboxyl groups of CNTs and zirconium ions resulted in the interfacial growth of UiO-66-NH2 on CNTs. Adsorption experiments showed that CNTs@UiO-66-NH2 exhibited the highest adsorption efficiency towards methyl orange (MO). find more The adsorption capacity of CNTs@UiO-66-NH2 was up to 392 mg g-1, which was 77.45% and 201.5% higher than those of CNTs-CONH-UiO-66 and CNTs/UiO-66-NH2 respectively. Moreover, CNTs@UiO-66-NH2 could selectively adsorb MO from the MO/MB mixture.Circulating tumor cells (CTCs) have been widely considered as promising novel biomarkers for molecular research and clinical diagnosis of cancer. However, the sorting of CTCs is very challenging due to the rarity of CTCs in blood and the morphological similarity to blood cells. Although affinity-based CTC sorting methods could capture CTCs using specific biochemical markers, there are limitations such as the loss of cell viability after labeling and a requirement for expensive biochemical marker reagents. Emerging label-free CTC sorting methods rely on the physical properties of cells and can potentially overcome the aforementioned limitations. In this review, we highlight recent advances in label-free CTC sorting methods, with emphasis on device structures and performances. Specifically, we present a detailed discussion on label-free CTC sorting methods, including passive ones that depend on the channel structure or specific fluidic effects and active ones that use external force fields, as well as provide an overview of the principles, advantages, limitations, and applications of state-of-art label-free CTC sorting devices. Finally, we provide a future perspective of microfluidics for label-free CTC sorting and hope to inspire readers to develop new devices for applications in clinical cancer diagnoses and research.Rapid development of artificial intelligence (AI) is gaining grounds in medicine. Its huge impact and inevitable necessity are also reflected in cardiovascular imaging. Although AI would probably never replace doctors, it can significantly support and improve their productivity and diagnostic performance. Many algorithms have already proven useful at all stages of the cardiac imaging chain. Their crucial practical applications include classification, automatic quantification, notification, diagnosis, and risk prediction. Consequently, more reproducible and repeatable studies are obtained, and personalized reports may be available to any patient. Utilization of AI also increases patient safety and decreases healthcare costs. Furthermore, AI is particularly useful for beginners in the field of cardiac imaging as it provides anatomic guidance and interpretation of complex imaging results. In contrast, lack of interpretability and explainability in AI carries a risk of harmful recommendations. This review was aimed at summarizing AI principles, essential execution requirements, and challenges as well as its recent applications in cardiovascular imaging.

Stent thrombosis (ST) is a common phenomenon in acute coronary syndromes (ACS) when compared to stable coronary artery disease. This study analyzed the patient- and operator-related risk factors of ST in ACS.

Coronary angiograms of 1738 consecutive ACS patients admitted in a large tertiary center between year 2014 and 2016 were analyzed retrospectively for the presence of ST. The paired angiograms [ST in ACS during and after percutaneous coronary intervention (PCI)] of the patients were analyzed by two independent observers, with focus on lesion characteristics and procedure techniques. Clinical and laboratory data were collected.

Stent thrombosis was found in 29 (1.6%) ACS patients, with a combination of at least one clinical/laboratory risk factor and one lesion/operator risk factor identified in 28 (96%) out of the 29 ACS patients with ST. The following risk factors for ST were found Renal insufficiency (OR=4.14, p<0.001, 95% CI=1.73-9.88), type 2 diabetes (OR=2.21, p=0.034, 95% CI=1.06-4.61), exction of clinical/laboratory and lesion/operator risk factors were present in almost all ACS patients with ST. This finding may support the search for strictly individualized strategies for the treatment of ACS patients with ST after PCI.Coronavirus disease 2019 (COVID-19) caused by 'Severe Acute Respiratory Syndrome Coronavirus-2' (SARS-CoV-2) infection emerged in Wuhan, a city of China, and spread to the entire planet in early 2020. The virus enters the respiratory tract cells and other tissues via ACE2 receptors. Approximately 20% of infected subjects develop severe or critical disease. A cytokine storm leads to over inflammation and thrombotic events. The most common clinical presentation in COVID-19 is pneumonia, typically characterized by bilateral, peripheral, and patchy infiltrations in the lungs. However multi-systemic involvement including peripheral thromboembolic skin lesions, central nervous, gastrointestinal, circulatory, and urinary systems are reported. The disease has a higher mortality compared to other viral agents causing pneumonia and unfortunately, no approved specific therapy, nor vaccine has yet been discovered. Several clinical trials are ongoing with hydroxychloroquine, remdesivir, favipiravir, and low molecular weight heparins. This comprehensive review aimed to summarize coagulation abnormalities reported in COVID-19, discuss the thrombosis, and inflammation-driven background of the disease, emphasize the impact of thrombotic and inflammatory processes on the progression and prognosis of COVID-19, and to provide evidence-based therapeutic guidance, especially from antithrombotic and anti-inflammatory perspectives.

Computed tomography pulmonary angiography (CTPA) is used for the main diagnosis in acute pulmonary embolism (APE). Determining the thrombus location in the pulmonary vascular tree is also important for predicting disease severity. This study aimed to analyze the correlation of the thrombus location and the clot burden with the disease severity and the risk stratification in patients with APE.

The study included patients with APE diagnosed by CTPA who were admitted to the hospital between January 28, 2016, and July 1, 2019. Data collected were markers of severity in APE, including patient demographics, comorbidities, length of hospital stay, pulmonary embolism severity index (PESI) score, modified PESI score, Wells score, risk stratification according to the American Heart Association, systolic blood pressure (SBP), right ventricle diameter to left ventricle diameter ratio, pulmonary arterial pressure, brain natriuretic peptide, troponin, D-dimer, and plasma lactate levels, and vessel location of the thrombus, clot burden score, ratio of the pulmonary artery trunk diameter/aortic diameter, superior vena cava diameter (SVC) by CTPA, and survival. All parameters were analyzed in correlation with clot load and vessel location.

Thrombus vascular location was found to be correlated with risk stratification and negatively correlated with SBP. Simplified Mastora score was correlated with risk stratification, SVC diameter, and D-dimer and negatively correlated with SBP. Occlusion of both the pulmonary artery trunk and any pulmonary artery with thrombus was associated with massive APE.

The level of the occluded vessel on CTPA may provide the ability to risk-stratify, and the clot burden score may be used for assessing both risk stratification and cardiac strain.

The level of the occluded vessel on CTPA may provide the ability to risk-stratify, and the clot burden score may be used for assessing both risk stratification and cardiac strain.