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30 mg/d (IQR=429.78; p less then 0.001) and 154.70 mg/day (IQR=108.70; p less then 0.001), respectively. The main food sources of polyphenols were coffee, peanuts, beans, and fruits. A lower intake of total polyphenols and their classes was observed in a population with similar characteristics to those from developed countries. The results demonstrate the importance of disseminating nutritional information about foods, so that the consumption of natural foods is prioritized. New studies that evaluate the consumption of polyphenols and their impact on human health are recommended to establish a daily recommendation for the consumption of such compounds.

Recently, several invasive meningococcal disease (IMD) outbreaks caused by Neisseria meningitidis have occurred among people experiencing homelessness (PEH). However, overall IMD risk among PEH is not well described. We compared incidence and characteristics of IMD among PEH and persons not known to be experiencing homelessness (non-PEH) in the United States.

We analyzed 2016-2019 IMD data from the National Notifiable Diseases Surveillance System and enhanced meningococcal disease surveillance. Incidence was calculated using US census data and point-in-time counts from the US Department of Housing and Urban Development.

Of cases from states participating in enhanced surveillance during 2016-2019 (n = 1409), 45 cases (3.2%) occurred among PEH. Annual incidence was higher among PEH (2.12 cases/100 000) than non-PEH (0.11 cases/100 000; relative risk, 19.8; 95% confidence interval [CI], 14.8-26.7). Excluding outbreak-associated cases (PEH n = 18, 40%; non-PEH n = 98, 7.2%), incidence among PEH remained elevated compared to incidence in non-PEH (relative risk, 12.8; 95% CI, 8.8-18.8). Serogroup C was identified in 68.2% of PEH cases compared to 26.4% in non-PEH (P < .0001).

PEH are at increased risk for IMD. Further assessment is needed to determine the feasibility and potential impact of meningococcal vaccination for PEH in the United States.

PEH are at increased risk for IMD. Further assessment is needed to determine the feasibility and potential impact of meningococcal vaccination for PEH in the United States.

Institutional review board (IRB) expertise is necessarily limited by maintaining a manageable board size. IRBs are therefore permitted by regulation to rely on outside experts for review. However, little is known about whether, when, why, and how IRBs use outside experts.

We conducted a national survey of U.S. IRBs to characterize utilization of outside experts. Our study uses a descriptive, cross-sectional design to understand how IRBs engage with such experts and to identify areas where outside expertise is most frequently requested.

The survey response rate was 18.4%, with 55.4% of respondents reporting their institution's IRB uses outside experts. Nearly all respondents who reported using outside experts indicated they do so less than once a month, but occasionally each year (95%). The most common method of identifying an outside expert was securing a previously known subject matter expert (83.3%). Most frequently, respondents sought consultation for scientific expertise not held by current members outside experts were described as helpful, but their use was infrequent overall. Many IRBs report not relying on outside experts at all. This raises important questions about what type of engagement with outside experts should be viewed as optimal to promote the highest quality review. For example, few respondents sought assistance from a Community Advisory Board, which could address expertise gaps in community perspectives. Further exploration is needed to understand how to optimize IRB use of outside experts, including how to recognize when expertise is lacking, what barriers IRBs face in using outside experts, and perspectives on how outside expert review impacts IRB decision-making and review quality.The use of magnetic nanoparticles (MNPs) in biomedical applications has been wildly opted due to their unique properties. Here, we designed MNPs loaded with erlotinib (ERL/SPION-Val-PEG) and conjugated them with anti-mucin16 (MUC16) aptamer to introduce new image-guided nanoparticles (NPs) for targeted drug delivery as well as non-invasive magnetic resonance imaging (MRI) contrast agents. MAPK inhibitor Also, the combination of our nanosystem (NS) along with L-Asparaginase (L-ASPN) led to synergistic effects in terms of reducing cell viability in ovarian cancer cells, which could suggest a novel combination therapy. The mean size of our NS was about 63.4 ± 3.4 nm evaluated by DLS analysis and its morphology was confirmed using TEM. Moreover, the functional groups, as well as magnetic properties of our NS, were examined by FT-IR and VSM tests, respectively. The loading efficacy of erlotinib on MNPs was about 80% and its release reached 70.85% over 7 days in the pH value of 5.4. The MR images and flow cytometry results revealed that the cellular uptake of ERL/SPION-Val-PEG-MUC16 NPs in cells with MUC16 overexpression was considerably higher than unarmed NPs. In addition, T2-weight MR images of ovarian cancer-bearing mice indicated significant signal intensity changes at the tumour site 4 h after intravenous injection compared to the non-target MNPs. Our data suggest ERL/SPION-Val-PEG NPs as an image-guided co-drug delivery system for ovarian cancer.Rolling circle amplification (RCA) is a simple and isothermal DNA amplification technique that is used to generate thousands of repeating DNA sequences using circular templates under the catalysis of DNA polymerase. Compared to alternating temperature nucleic acid amplification such as polymerase chain reaction (PCR) amplification, RCA is more suitable for on-spot detection without the need for an expensive thermal cycler. In this study, the principle and classification of RCA are introduced, and the applications of RCA in the detection of pathogenic bacteria, nucleic acid tumor markers, viruses, and proteins are reviewed. Finally, the perspectives of RCA in biological detection are anticipated. The RCA method has a great potential for biological detection. This review aims to provide references for the further development and application of the RCA technique in biosensors.

Artificial neural network (ANN) development to find optimal carriers (pea protein-P, maltodextrin-M, and inulin-I) mixture for encapsulation of pumpkin waste bioactive (β-carotene and phenolics).

Freeze-drying encapsulation and encapsulates characterisation in terms of bioactive contents and encapsulation efficiencies, water activity, hygroscopicity, densities, flowability, cohesiveness, particle size (laser diffraction), solubility, colour (CIELab), morphological (SEM), stability and release properties.

Optimal encapsulates, OE-T (with highest total bioactive contents; P, M, and I of 53.9, 46.1, and 0%w/w) and OE-EE (with highest bioactive encapsulation efficiencies; P, M, and I of 45.5, 32.0, and 22.5%w/w) had particle diameters of 94.561 ± 1.341 µm and 90.206 ± 0.571 µm, the span of 1.777 ± 0.094 and 1.588 ± 0.089, highest release at pH 7.4 of phenolics of 71.03%w/w after 72 h and 66.22%w/w after 48 h, and β-carotene of 43.67%w/w after 8 h and 48.62%w/w after 6 h, respectively.

ANN model for prediction of encapsulates' preparation, showed good anticipation properties (with gained determination coefficients of 1.000).

ANN model for prediction of encapsulates' preparation, showed good anticipation properties (with gained determination coefficients of 1.000).Silk gut fibers were produced from the silkworm Samia cynthia ricini silk glands by the usual procedure of immersion in a mildly acidic solution and subsequent stretching. The morphology of the silk guts was assessed by scanning electron microscopy, and their microstructure was assessed by infrared spectroscopy and X-ray diffraction. It was found that both naturally spun and Samia silk guts share a common semicrystalline microstructure. The mechanical characterization of the silk guts revealed that these fibers show an elastomeric behavior when tested in water, and exhibit a genuine ground state to which the fiber may revert independently of its previous loading history. In spite of its large cross-sectional area compared with naturally spun silk fibers, Samia silk guts show values of work to fracture up to 160 MJ m-3, much larger than those of most of their natural counterparts, and establish a new record value for this parameter in silk guts.Limited studies have focused on the impact of high-sensitivity C-reactive protein (hsCRP) to albumin ratio (CAR) on cardiovascular outcomes in patients undergoing percutaneous coronary intervention (PCI). Hence, the present study evaluates the association between CAR and cardiovascular outcomes in patients undergoing drug-eluting stent (DES) implantation. We consecutively enrolled 9375 CHD patients undergoing DES implantation. All patients were divided into 3 groups according to their CAR tertile 1 (CAR ≤.02, n=3125), tertile 2 (.02.06, n = 3125). The primary endpoint was major adverse cardiovascular and cerebrovascular events (MACCE). Kaplan-Meier analysis indicated that the incidences of MACCE and MI increased with high tertiles of the CAR (MACCE 8.7 vs 10.5 vs 12.3%, log-rank P less then .001; MI 3.3 vs 4.0 vs 4.7%, long-rank P = .015). Cox regression analysis suggested that CAR was an independent risk factors for MACCE (HR per standard deviation (SD) increase 1.07, 95% CI, 1.01-1.14, P = .024), and MI (HR per SD increase 1.11, 95% CI, 1.01-1.22, P = .028). In conclusion, the CAR is an independent predictor of MACCE and MI in CHD patients.In recent years, identification and analysis of designer benzodiazepines have become a challenge in forensic toxicology. These substances are analogs of the classic benzodiazepines, but their pharmacology is not well known, and many of them have been associated with overdoses and deaths. As a result, there has been a surge in efforts to develop analytical methods to determine these compounds in different biological samples. Our aim was to develop and validate a fast, sensitive and specific method for determining 17 designer benzodiazepines (adinazolam, clobazam, clonazolam, delorazepam, deschloroetizolam, diclazepam, etizolam, flualprazolam, flubromazepam, flubromazolam, flunitrazolam, N-desmethylclobazam, nifoxipam, nitrazolam, meclonazepam, pyrazolam and zolazepam) in hair by liquid chromatography-tandem mass spectrometry (LC-MS-MS). Hair samples were decontaminated and pulverized, and a 20 mg aliquot was incubated in methanol in an ultrasound bath (1 h, 25°C). The supernatant was evaporated and reconstituted in 200 µL of mobile phase, and the extracts were filtered (nano-filter vials) before injection into LC-MS-MS. All analytes were eluted from the chromatographic column in 8 min, and two multiple-reaction monitoring (MRM) transitions were used to identify each compound. The limits of quantification were 5 or 25 pg/mg depending on the analyte, and the calibration functions were linear to 200 pg/mg. Imprecision was  200 pg/mg) and/or etizolam (47.4-88.5 pg/mg). In conclusion, the present validated method has proven to be fast, sensitive, specific and capable of determining 17 designer benzodiazepines in hair using LC-MS-MS.