by Keyword: hypothesis
Perxés Perich M, Palma-Florez S, Solé C, Goberna-Ferrón S, Samitier J, Gómez-Romero P, Mir M, Lagunas A, (2023). Polyoxometalate-Decorated Gold Nanoparticles Inhibit β-Amyloid Aggregation and Cross the Blood-Brain Barrier in a µphysiological Model Nanomaterials 13, 2697
Alzheimer's disease is characterized by a combination of several neuropathological hallmarks, such as extracellular aggregates of beta amyloid (Aβ). Numerous alternatives have been studied for inhibiting Aβ aggregation but, at this time, there are no effective treatments available. Here, we developed the tri-component nanohybrid system AuNPs@POM@PEG based on gold nanoparticles (AuNPs) covered with polyoxometalates (POMs) and polyethylene glycol (PEG). In this work, AuNPs@POM@PEG demonstrated the inhibition of the formation of amyloid fibrils, showing a 75% decrease in Aβ aggregation in vitro. As it is a potential candidate for the treatment of Alzheimer's disease, we evaluated the cytotoxicity of AuNPs@POM@PEG and its ability to cross the blood-brain barrier (BBB). We achieved a stable nanosystem that is non-cytotoxic below 2.5 nM to human neurovascular cells. The brain permeability of AuNPs@POM@PEG was analyzed in an in vitro microphysiological model of the BBB (BBB-on-a-chip), containing 3D human neurovascular cell co-cultures and microfluidics. The results show that AuNPs@POM@PEG was able to cross the brain endothelial barrier in the chip and demonstrated that POM does not affect the barrier integrity, giving the green light to further studies into this system as a nanotherapeutic.
JTD Keywords: beta-amyloid, blood-brain barrier organ-on-a-chip, cellular uptake, citrate, cytotoxicity, electrocatalytic reduction, gold nanoparticles, hypothesis, nanorods, polyoxometalates, size, stability, surface, Alzheimers-disease, Blood–brain barrier organ-on-a-chip, Gold nanoparticles, Nanovehicle, Polyoxometalates, Β-amyloid
Trebicka J, (2022). Role of albumin in the treatment of decompensated liver cirrhosis Current Opinion In Gastroenterology 38, 200-205
Albumin has been used primarily as a plasma expander, since it leads to an increase in the circulating blood volume. Current generally recommended indications for albumin therapy in cirrhotic patients are the prevention of circulatory dysfunction after large-volume paracentesis, the prevention of hepatorenal syndrome (HRS) in patients with spontaneous bacterial peritonitis (SBP), and the management of HRS in combination with vasoconstrictors. Yet, new indications for albumin have been tested in the recent years and are outlined in this short review.New data show that albumin both supports the circulation and reduces systemic inflammation. In addition, to its oncotic function, it acts as an antioxidant, radical scavenger, and immune modulator. These nononcotic properties explain why long-term albumin administration in patients with decompensated cirrhosis may be useful in the prevention of associated complications (acute-on-chronic liver failure, infections). New data show that long-term albumin therapy in patients with cirrhosis and ascites improves survival, prevents complications, simplifies ascites management, and lowers hospitalization rates. The so-called disease-modifying effects of long-term albumin therapy may have a favorable effect on the course of the disease. Nevertheless, the optimal dosage and administration intervals have not yet been finally defined.Albumin therapy is effective in the indications already recommended by the guidelines. A possible extension of the indication for albumin administration in non-SBP infections and as long-term therapy is promising, but should be confirmed by further studies.Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.
JTD Keywords: ascites, failure, hepatorenal syndrome, hospitalized-patients, hypothesis, infections, portal hypertension, spontaneous bacterial peritonitis, systemic inflammation, Acute-on-chronic liver failure, Human serum-albumin
Garde, A., Sörnmo, L., Jané, R., Giraldo, B. F., (2010). Correntropy-based nonlinearity test applied to patients with chronic heart failure Engineering in Medicine and Biology Society (EMBC) 32nd Annual International Conference of the IEEE , IEEE (Buenos Aires, Argentina) , 2399-2402
In this study we propose the correntropy function as a discriminative measure for detecting nonlinearities in the respiratory pattern of chronic heart failure (CHF) patients with periodic or nonperiodic breathing pattern (PB or nPB, respectively). The complexity seems to be reduced in CHF patients with higher risk level. Correntropy reflects information on both, statistical distribution and temporal structure of the underlying dataset. It is a suitable measure due to its capability to preserve nonlinear information. The null hypothesis considered is that the analyzed data is generated by a Gaussian linear stochastic process. Correntropy is used in a statistical test to reject the null hypothesis through surrogate data methods. Various parameters, derived from the correntropy and correntropy spectral density (CSD) to characterize the respiratory pattern, presented no significant differences when extracted from the iteratively refined amplitude adjusted Fourier transform (IAAFT) surrogate data. The ratio between the powers in the modulation and respiratory frequency bands R was significantly different in nPB patients, but not in PB patients, which reflects a higher presence of nonlinearities in nPB patients than in PB patients.
JTD Keywords: Practical, Theoretical or Mathematical, Experimental/cardiology diseases, Fourier transforms, Medical signal processing, Pattern classification, Pneumodynamics, Spectral analysis, Statistical analysis, Stochastic processes/ correntropy based nonlinearity test, Chronic heart failure, Correntropy function, Respiratory pattern nonlinearities, CHF patients, Nonperiodic breathing pattern, Dataset statistical distribution, Dataset temporal structure, Nonlinear information, Null hypothesis, Gaussian linear stochastic process, Statistical test, Correntropy spectral density, Iteratively refined amplitude adjusted Fourier transform, Surrogate data, Periodic breathing pattern