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Background Traumatic brain injuries represent a significant cause of morbidity and mortality worldwide and road traffic crashes account for a significant proportion of these injuries. It is one of the leading causes of death, especially among young adults, and, according to the World Health Organization, this will surpass many diseases as the major cause of death and disability by the year 2020 and lifelong disability is common in those who survive. It is also known as the silent epidemic. Many CT scan scoring systems for brain injury have been developed but none of them are validated. These scores are based on structural findings of CT scan to predict the prognosis. Marshall and Rotterdam are the two most widely used scoring systems. Method This was an observational study with prospectively collected data.923consecutive patients with TBI this study aimed to compare the Helsinki CT scoring system with the Rotterdam scoring system to find out the better score for the prognostic purpose by using the Glasgow outcome score. Results Helsinki CT scoring system was found to be the most accurate score among the others in predicting the outcome of the patient based on morphological findings in CT scan. These scores also guided us regarding the treatment plan and patients with the good prognostic outcome are usually treated aggressively. Also these scores guide clinicians whether to opt for a conservative approach or any intervention. Conclusion In this study we compared, Rotterdam vs. Helsinki CT Scoring System. We observed that the Helsinki score was better outcome predictors for TBI than the Rotterdam score and can be used as a single validated score in predicting outcome and guiding the treatment.A novel 2-fluorodeoxyglucose conjugated derivative of paclitaxel was efficiently synthesized using a linker between 2'-OH of paclitaxel and C1-hydroxyl group of 2-fluorodeoxyglucose. In preparation of the prodrug, allyl carbonates were selected as the protective group and the efficient one-step removal of allyloxycarbonyl groups at the end of the synthesis using palladium chemistry gave the target molecule in good yield. The prodrug not only improved the pharmaceutical properties of paclitaxel, such as solubility and stability, but also demonstrated enhanced cytotoxicity and selectivity for cancer cells and less toxicity toward normal HUVEC cells.Suicidal behaviors are strongly linked with mood disorders, but the specific neurobiological and functional gene-expression correlates for this linkage remain elusive. We performed neuroimaging-guided RNA-sequencing in two studies to test the hypothesis that imaging-localized gray matter volume (GMV) loss in mood disorders, harbors gene-expression changes associated with disease morbidity and related suicide mortality in an independent postmortem cohort. To do so, first, we conducted study 1 using an anatomical likelihood estimation (ALE) MRI meta-analysis including a total of 47 voxel-based morphometry (VBM) publications (i.e. 26 control versus (vs) major depressive disorder (MDD) studies, and 21 control vs bipolar disorder (BD) studies) in 2387 (living) participants. Study 1 meta-analysis identified a selective anterior insula cortex (AIC) GMV loss in mood disorders. We then used this results to guide study 2 postmortem tissue dissection and RNA-Sequencing of 100 independent donor brain samples with a life-time history of MDD (N = 30), BD (N = 37) and control (N = 33). In study 2, exploratory factor-analysis identified a higher-order factor representing number of Axis-1 diagnoses (e.g. substance use disorders/psychosis/anxiety, etc.), referred to here as morbidity and suicide-completion referred to as mortality. Comparisons of case-vs-control, and factor-analysis defined higher-order-factor contrast variables revealed that the imaging-identified AIC GMV loss sub-region harbors differential gene-expression changes in high morbidity-&-mortality versus low morbidity-&-mortality cohorts in immune, inflammasome, and neurodevelopmental pathways. Weighted gene co-expression network analysis further identified co-activated gene modules for psychiatric morbidity and mortality outcomes. These results provide evidence that AIC anatomical signature for mood disorders are possible correlates for gene-expression abnormalities in mood morbidity and suicide mortality.The composition of a sample solvent has a crucial impact on separations in hydrophilic interaction liquid chromatography (HILIC). In this short communication, we studied the effect of an organic modifier in the sample solvent on the solubility of different tryptic glycopeptides of hemopexin and haptoglobin proteins. The results showed that the solubility of glycopeptides in solvents with a high acetonitrile content depends on the type of attached N-glycan. We observed lower solubility in larger glycans attached to the same peptide backbone, and we demonstrated that glycopeptides containing sialic acids precipitate more readily than those without sialic acid. Therefore, the sample solvent composition in HILIC must be carefully optimized for accurate quantitative data collection and for adequate separation.This paper investigates the effect of aero-acoustic parameters on the efficiency of acoustically-driven drug delivery (ADD) to human maxillary sinus (MS). To be more specific, the effect of the frequency, amplitude at the acoustic excitation, and the inlet mean flow rate on the efficiency of ADD to the MS is studied. Direct computational aero-acoustics, using a validated computational fluid dynamics (CFD) model, has been utilised to carry out the parametric study. read more The transport pattern of the particles (drugs) in the presence of an external acoustic field has been investigated through the discrete phase model. Extensive computational simulations have revealed that the most important parameter in acoustically-driven drug delivery to the MS is the amplitude of the oscillation of the air plug in the ostium, which is largest when the combination of nasal cavity and MS is at resonance. Also, it has been found that the amplitude of the inlet acoustic wave has a direct correlation with the efficiency of the drug delivery to the MS.

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