Pheochromocytoma (PCC) and paraganglioma are rare neuroendocrine tumors of the adrenal medulla and sympathetic and parasympathetic paraganglia, for which mutations in ∼15 disease-associated genes ...have been identified. We now document the role of an additional gene in mice, the ceramide synthase 2 (CerS2) gene. CerS2, one of six mammalian CerS, synthesizes ceramides with very-long (C22-C24) chains. The CerS2 null mouse has been well characterized and displays lesions in several organs including the liver, lung and the brain. We now demonstrate that changes in the sphingolipid acyl chain profile of the adrenal gland lead to the generation of adrenal medullary tumors. Histological analyses revealed that about half of the CerS2 null mice developed PCC by ∼13 months, and the rest showed signs of medullary hyperplasia. Norepinephrine and normetanephrine levels in the urine were elevated at 7 months of age consistent with the morphological abnormalities found at later ages. Accumulation of ceroid in the X-zone was observed as early as 2 months of age and as a consequence, older mice displayed elevated levels of lysosomal cathepsins, reduced proteasome activity and reduced activity of mitochondrial complex IV by 6 months of age. Together, these findings implicate an additional pathway that can lead to PCC formation, which involves alterations in the sphingolipid acyl chain length. Analysis of the role of sphingolipids in PCC may lead to further understanding of the mechanism by which PCC develops, and might implicate the sphingolipid pathway as a possible novel therapeutic target for this rare tumor.
Although drug-induced liver injury (DILI) is a major target of the pharmaceutical industry, we currently lack an efficient model for evaluating liver toxicity in the early stage of its development. ...Recent progress in artificial intelligence-based deep learning technology promises to improve the accuracy and robustness of current toxicity prediction models. Mask region-based CNN (Mask R-CNN) is a detection-based segmentation model that has been used for developing algorithms. In the present study, we applied a Mask R-CNN algorithm to detect and predict acute hepatic injury lesions induced by acetaminophen (APAP) in Sprague-Dawley rats. To accomplish this, we trained, validated, and tested the model for various hepatic lesions, including necrosis, inflammation, infiltration, and portal triad. We confirmed the model performance at the whole-slide image (WSI) level. The training, validating, and testing processes, which were performed using tile images, yielded an overall model accuracy of 96.44%. For confirmation, we compared the model’s predictions for 25 WSIs at 20× magnification with annotated lesion areas determined by an accredited toxicologic pathologist. In individual WSIs, the expert-annotated lesion areas of necrosis, inflammation, and infiltration tended to be comparable with the values predicted by the algorithm. The overall predictions showed a high correlation with the annotated area. The R square values were 0.9953, 0.9610, and 0.9445 for necrosis, inflammation plus infiltration, and portal triad, respectively. The present study shows that the Mask R-CNN algorithm is a useful tool for detecting and predicting hepatic lesions in non-clinical studies. This new algorithm might be widely useful for predicting liver lesions in non-clinical and clinical settings.
Tumor-targeted delivery of anticancer agents using nanocarriers has been explored to increase the therapeutic index of cancer chemotherapy. However, only a few nanocarriers are clinically available ...because the physiological complexity often compromises their ability to target, penetrate, and control the release of drugs. Here, we report a method which dramatically increases in vivo therapeutic drug efficacy levels through the photodynamic degradation of tumor-targeted nanocarriers. Folate-decorated poly(ethylene glycol)-polythioketal micelles are prepared to encapsulate paclitaxel and porphyrins. Photo-excitation generates reactive oxygen species within the micelles to cleave the polythioketal backbone efficiently and facilitate drug release only at the illuminated tumor site. Intravenous injection of a murine xenograft model with a low dose of paclitaxel within the micelles, one-milligram drug per kg (mouse), corresponding to an amount less than that of Taxol by one order of magnitude, induces dramatic tumor regression without any acute systemic inflammation responses or organ toxicity under low-power irradiation (55 mW cm−2) at 650 nm.
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•Photodynamically-induced drug delivery under low light intensity and low drug dose•ROS-scavenging micelles releasing paclitaxel under 650 nm light irradiation•Dramatic reduction of IC50 of paclitaxel to 4.27% of the reported value•Efficient ROS consumption by PPADT micelles•Only 5% of maximum tolerated dose of paclitaxel for tumor suppression
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•The effect of polymers’ structural features on the separation of sc-SWNTs is explored.•Polymer’s alkyl side-chain length and orientation are keys in sc-SWNT separation.•The rigidity ...of the backbone structure is key factor in efficient separation of sc-SWNTs.•Energy level alignment of polymer and sc-SWNTs is important for device performance.
Semiconducting single-walled carbon nanotubes (SWNTs) show promise as core materials for next-generation solar cells and nanoelectronic devices. However, most commercial SWNT production methods generate mixtures of metallic SWNTs (m-SWNTs) and semiconducting SWNT (sc-SWNTs). Therefore, sc-SWNTs must be separated from their original mixtures before use. In this study, we investigated a polymer-based, noncovalent sc-SWNT separation approach, which is simple to perform and does not disrupt the electrical properties of the SWNTs, thus improving the performance of the corresponding sc-SWNT-based applications. By systematically investigating the effect that different structural features of the semiconductor polymer have on the separation of sc-SWNTs, we discovered that the length and configuration of the alkyl side chains and the rigidity of the backbone structure exert significant effects on the efficiency of sc-SWNT separation. We also found that electron transfer between the semiconductor polymers and sc-SWNTs is strongly affected by their energy-level alignment, which can be tailored by controlling the donor-acceptor configuration in the polymer backbone structures. Among the polymers investigated, the highly planar P8T2Z-C12 semiconductor polymer showed the best sc-SWNT separation efficiency and unprecedentedly strong electronic interaction with the sc-SWNTs, which is important for improving their performance in applications.
In traditional Chinese medicine, Persicaria chinensis L. has been prescribed to cure numerous inflammatory disorders. We previously analyzed the bioactivity of the methanol extract of this plant ...(Pc-ME) against LPS-induced NO and PGE2 in RAW264.7 macrophages and found that it prevented HCl/EtOH-induced gastric ulcers in mice. The purpose of the current study was to explore the molecular mechanism by which Pc-ME inhibits activator protein- (AP-) 1 activation pathway and mediates its hepatoprotective activity. To investigate the putative therapeutic properties of Pc-ME against AP-1-mediated inflammation and hepatotoxicity, lipopolysaccharide- (LPS-) stimulated RAW264.7 and U937 cells, a monocyte-like human cell line, and an LPS/D-galactosamine- (D-GalN-) induced acute hepatitis mouse model were employed. The expression of LPS-induced proinflammatory cytokines including interleukin- (IL-) 1β, IL-6, and tumor necrosis factor-α (TNF-α) was significantly diminished by Pc-ME. Moreover, Pc-ME reduced AP-1 activation and mitogen-activated protein kinase (MAPK) phosphorylation in both LPS-stimulated RAW264.7 cells and differentiated U937 cells. Additionally, we highlighted the hepatoprotective and curative effects of Pc-ME pretreated orally in a mouse model of LPS/D-GalN-intoxicated acute liver injury by demonstrating the significant reduction in elevated serum AST and ALT levels and histological damage. Therefore, these results strongly suggest that Pc-ME could function as an antihepatitis remedy suppressing MAPK/AP-1-mediated inflammatory events.
Background & Aims Further histological subclassification of cirrhosis may be useful because of heterogeneity of severity within cirrhosis. We aimed to determine the relationship between histological ...subclassification and clinical stage of cirrhosis as well as grade of portal hypertension. Methods One hundred-twenty-three biopsy-proven cirrhosis patients, whose clinical stage of cirrhosis and hepatic venous pressure gradient (HVPG) could be estimated, were included in this prospective study. Histology of cirrhosis was blindly subclassified using the Laennec fibrosis scoring system semi-quantitatively without knowledge of the clinical stage or the HVPG results. The Laennec system subclassifies cirrhosis as mild – thin septa, moderate – at least two broad septa, and severe – at least one very broad septum or many minute nodules. Clinical stages were determined by the presence or absence of varices, ascites, and variceal hemorrhage. Biological and laboratory data were also collected. Results Alcohol intake was the most common cause of cirrhosis in this cohort (87, 70.7%). Histology of cirrhosis subclassified using the Laennec scoring system significantly correlated with both the clinical stage of cirrhosis ( p <0.001) and HVPG (mild: 8.1 ± 2.6 mm Hg, moderate: 12.4 ± 3.3 mm Hg, severe: 16.3 ± 4.0 mm Hg, p <0.001). With higher grades of histological subclassification of cirrhosis, increased frequency in both severe portal hypertension (HVPG ⩾12 mm Hg) and episodes of variceal hemorrhage were observed ( p <0.001). Conclusions Histological subclassification of cirrhosis by the Laennec fibrosis scoring system is tightly correlated with both the clinical stage of cirrhosis and grade of portal hypertension. This suggests that cirrhosis should be subclassified into different stages according to its histological severity.
Anaphylaxis is an immediate allergic reaction characterized by potentially life-threatening, severe, systemic manifestations. While studies have evaluated links between serious illness and ...posttraumatic stress disorder (PTSD), few have investigated PTSD after anaphylaxis in adults. We sought to investigate the psychosocial burden of recent anaphylaxis in Korean adults.
A total of 203 (mean age of 44 years, 120 females) patients with anaphylaxis were recruited from 15 university hospitals in Korea. Questionnaires, including the Impact of Event Scale-Revised-Korean version (IES-R-K), the Korean version of the Beck Anxiety Inventory (K-BAI), and the Korean version of the Beck Depression Inventory (K-BDI), were administered. Demographic characteristics, causes and clinical features of anaphylaxis, and serum inflammatory markers, including tryptase, platelet-activating factor, interleukin-6, tumor necrosis factor-α, and C-reactive protein, were evaluated.
PTSD (IES-R-K ≥ 25) was noted in 84 (41.4%) patients with anaphylaxis. Of them, 56.0% had severe PTSD (IES-R-K ≥ 40). Additionally, 23.2% and 28.1% of the patients had anxiety (K-BAI ≥ 22) and depression (K-BDI ≥ 17), respectively. IES-R-K was significantly correlated with both K-BAI (
= 0.609,
< 0.0001) and K-BDI (
= 0.550,
< 0.0001). Among the inflammatory mediators, tryptase levels were lower in patients exhibiting PTSD; meanwhile, platelet-activating factor levels were lower in patients exhibiting anxiety and depression while recovering from anaphylaxis. In multivariate analysis, K-BAI and K-BDI were identified as major predictive variables of PTSD in patients with anaphylaxis.
In patients with anaphylaxis, we found a remarkably high prevalence of PTSD and associated psychological distresses, including anxiety and depression. Physicians ought to be aware of the potential for psychological distress in anaphylactic patients and to consider psychological evaluation.
Patient isolation units (PIUs) can be an effective method for effective infection control. Computational fluid dynamics (CFD) is commonly used for PIU design; however, optimizing this design requires ...extensive computational resources. Our study aims to provide data-driven models to determine the PIU settings, thereby promoting a more rapid design process.
Using CFD simulations, we evaluated various PIU parameters and room conditions to assess the impact of PIU installation on ventilation and isolation. We investigated particle dispersion from coughing subjects and airflow patterns. Machine-learning models were trained using CFD simulation data to estimate the performance and identify significant parameters.
Physical isolation alone was insufficient to prevent the dispersion of smaller particles. However, a properly installed fan filter unit (FFU) generally enhanced the effectiveness of physical isolation. Ventilation and isolation performance under various conditions were predicted with a mean absolute percentage error of within 13%. The position of the FFU was found to be the most important factor affecting the PIU performance.
Data-driven modeling based on CFD simulations can expedite the PIU design process by offering predictive capabilities and clarifying important performance factors. Reducing the time required to design a PIU is critical when a rapid response is required.
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•Machine-learning models trained with computational fluid dynamics simulation data•Data-driven models inform important variables for patient isolation unit design•Data-driven models can expedite the design process of patient isolation units•Physical isolation alone is insufficient to prevent small particle dispersion•Properly installed fan filter unit enhanced the effectiveness of physical isolation
Capillarity Guided Patterning of Microliquids Kang, Myeongwoo; Park, Woohyun; Na, Sangcheol ...
Small (Weinheim an der Bergstrasse, Germany),
06/2015, Letnik:
11, Številka:
23
Journal Article
Recenzirano
Soft lithography and other techniques have been developed to investigate biological and chemical phenomena as an alternative to photolithography‐based patterning methods that have compatibility ...problems. Here, a simple approach for nonlithographic patterning of liquids and gels inside microchannels is described. Using a design that incorporates strategically placed microstructures inside the channel, microliquids or gels can be spontaneously trapped and patterned when the channel is drained. The ability to form microscale patterns inside microfluidic channels using simple fluid drain motion offers many advantages. This method is geometrically analyzed based on hydrodynamics and verified with simulation and experiments. Various materials (i.e., water, hydrogels, and other liquids) are successfully patterned with complex shapes that are isolated from each other. Multiple cell types are patterned within the gels. Capillarity guided patterning (CGP) is fast, simple, and robust. It is not limited by pattern shape, size, cell type, and material. In a simple three‐step process, a 3D cancer model that mimics cell–cell and cell–extracellular matrix interactions is engineered. The simplicity and robustness of the CGP will be attractive for developing novel in vitro models of organ‐on‐a‐chip and other biological experimental platforms amenable to long‐term observation of dynamic events using advanced imaging and analytical techniques.
Liquid patterns, including hydrogel and cell suspension, are spontaneously formed inside micropost arrays by a simple liquid draining motion. This method takes advantage of the surface tension of the liquid and can be performed within 5 s, without special equipment or precise flow control.
While tools exist for objective cough counting in clinical studies, there is no available tool for objective cough measurement in clinical practice. An artificial intelligence (AI)-based cough count ...system was recently developed that quantifies cough sounds collected through a smartphone application. In this prospective study, this AI-based cough algorithm was applied among real-world patients with an acute exacerbation of asthma.
Patients with an acute asthma exacerbation recorded their cough sounds for 7 days (2 consecutive hours during awake time and 5 consecutive hours during sleep) using Coughy
smartphone application. During the study period, subjects received systemic corticosteroids and bronchodilator to control asthma. Coughs collected by application were counted by both the AI algorithm and two human experts. Subjects also provided self-measured peak expiratory flow rate (PEFR) and completed other outcome assessments e.g., cough symptom visual analogue scale (CS-VAS), awake frequency, salbutamol use to investigate the correlation between cough and other parameters.
A total of 1,417.6 h of cough recordings were obtained from 24 asthmatics (median age =39 years). Cough counts by AI were strongly correlated with manual cough counts during sleep time (rho =0.908, P<0.001) and awake time (rho =0.847, P<0.001). Sleep time cough counts were moderately to strongly correlated with CS-VAS (rho =0.339, P<0.001), the frequency of waking up (rho =0.462, P<0.001), and salbutamol use at night (rho =0.243, P<0.001). Weak-to-moderate correlations were found between awake time cough counts and CS-VAS (rho =0.313, P<0.001), the degree of activity limitation (rho =0.169, P=0.005), and salbutamol use at awake time (rho =0.276, P<0.001). Neither awake time nor sleep time cough counts were significantly correlated with PEFR.
The strong correlation between cough counts using the AI-based algorithm and human experts, and other indicators of patient health status provides evidence of the validity of this AI algorithm for use in asthma patients experiencing an acute exacerbation. Study findings suggest that Coughy
could be a novel solution for objectively monitoring cough in a clinical setting.
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