Synthesis and antileishmanial activities of novel 3-substituted quinolines

The antileishmanial efficacy of four novel quinoline derivatives was determined in vitro against Leishmania chagasi, using extracellular and intracellular parasite models. When tested against L. chagasi-infected macrophages, compound 3b demonstrated 8.3-fold greater activity than did the standard pentavalent antimony. No significant activity was found for compounds 3a, 4a, and 4b. The antilesihmanial effect of compound 3b was independent of host cell activation, as demonstrated by nitric oxide production. Ultrastructural studies of promastigotes treated with compound 3b showed mainly enlarged mitochondria, with matrix swelling and reduction in the number of cristae. Synthetic analogues based on the quinoline ring structure, already an established template for antiparasitic drugs, could provide further useful compounds.     

Computational intelligence in early diabetes diagnosis: a review

The development of an effective diabetes diagnosis system by taking advantage of computational intelligence is regarded as a primary goal nowadays. Many approaches based on artificial network and machine learning algorithms have been developed and tested against diabetes datasets, which were mostly related to individuals of Pima Indian origin. Yet, despite high accuracies of up to 99% in predicting the correct diabetes diagnosis, none of these approaches have reached clinical application so far. One reason for this failure may be that diabetologists or clinical investigators are sparsely informed about, or trained in the use of, computational diagnosis tools. Therefore, this article aims at sketching out an outline of the wide range of options, recent developments, and potentials in machine learning algorithms as diabetes diagnosis tools. One focus is on supervised and unsupervised methods, which have made significant impacts in the detection and diagnosis of diabetes at primary and advanced stages. Particular attention is paid to algorithms that show promise in improving diabetes diagnosis. A key advance has been the development of a more in-depth understanding and theoretical analysis of critical issues related to algorithmic construction and learning theory. These include trade-offs for maximizing generalization performance, use of physically realistic constraints, and incorporation of prior knowledge and uncertainty. The review presents and explains the most accurate algorithms, and discusses advantages and pitfalls of methodologies. This should provide a good resource for researchers from all backgrounds interested in computational intelligence-based diabetes diagnosis methods, and allows them to extend their knowledge into this kind of research.     

Cross-talk among intracellular signaling pathways mediates the diphenyl ditelluride actions on the hippocampal cytoskeleton of young rats

In the present report, we showed that diphenyl ditelluride (PhTe)(2) induced in vitro hyperphosphorylation of glial fibrillary acidic protein (GFAP), vimentin and neurofilament (NF) subunits in hippocampus of 21 day-old rats. Hyperphosphorylation was dependent on L-voltage dependent Ca(2+) channels (L-VDCC), N-methyl-d-aspartate (NMDA) and metabotropic glutamate receptors, as demonstrated by the specific inhibitors verapamil, DL-AP5 and MCPG, respectively. Also, dantrolene, a ryanodine channel blocker, EGTA and Bapta-AM, extra and intracellular Ca(2+) chelators respectively, totally prevented this effect. Activation of metabotropic glutamate receptors by (PhTe)(2) upregulates phospholipase C (PLC), producing inositol 1, 4, 5-trisphosphate (IP(3)) and diacylglycerol (DAG). Therefore, high Ca(2+) levels and DAG directly activate Ca(2+)/calmodulin-dependent protein kinase (PKCaMII) and protein kinase C (PCK), resulting in the hyperphosphorylation of Ser-57 in the carboxyl-terminal tail domain of the low molecular weight NF subunit (NF-L). Also, the activation of Erk1/2, and p38MAPK resulted in hyperphosphorylation of KSP repeats of the medium molecular weight NF subunit (NF-M). It is noteworthy that PKCaMII and PKC inhibitors prevented (PhTe)(2)-induced Erk1/2MAPK and p38MAPK activation as well as hyperphosphorylation of KSP repeats on NF-M, suggesting that PKCaMII and PKC could be upstream of this activation. Taken together, our results highlight the role of Ca(2+) as a mediator of the (PhTe)(2)-elicited signaling targeting specific phosphorylation sites on IF proteins of neural cells of rat hippocampus. Interestingly, this action shows a significant cross-talk among signaling pathways elicited by (PhTe)(2), connecting glutamate metabotropic cascade with activation of Ca(2+) channels. The extensively phosphorylated amino- and carboxyl- terminal sites could explain, at least in part, the neural dysfunction associated with (PhTe)(2) exposure.     

The kinesin Eg5 inhibitor K858 exerts antiproliferative and proapoptotic effects and attenuates the invasive potential of head and neck squamous carcinoma cells

Investigational New Drugs - Our group recently demonstrated that K858, an inhibitor of motor kinesin Eg5, has important antiproliferative and apoptotic effects on breast cancer, prostatic cancer,...     

Effects of the COVID-19 pandemic on sleep quality in children and adolescents: A systematic review and meta-analysis

We synthesise the literature on the potential influence of the COVID-19 pandemic on sleep quality in children and adolescents. The search identified studies that examined the relationship between sleep quality and disorders during the COVID-19 pandemic. It began in May 2021 and has had two updates with the last in January 2022. The databases used were LILACS, PubMed, and EMBASE. Random effects models were performed to explore heterogeneity between studies. Data were presented as continuous variables (mean value and standard deviation) to perform a meta-analysis. Twenty-nine studies from 16 countries were identified: Nine had children and eight had adolescents. The overall quality of the studies ranged from high (27.6%) to medium (65.5%) and low (6.9%). Eight studies were eligible for meta-analysis. There was an increase in sleep duration during the pandemic when compared with the previous period 0.33 (95%CI −0.07; 0.60) (p < 0.001) and late bedtime 0.78 (95%CI −0.33; 1.22) (p < 0.001). A trend toward reduced sleep efficiency was also detected 0.54 (95%CI −0.75; −0.33) p = 0.20. Parents’ reports of increased use of screen media/electronic devices were associated with worse sleep quality. The results suggest an influence of the pandemic on sleep characteristics such as increased sleep duration, late bedtimes, and poor sleep quality. These alterations were related to changes in family routines during this period.     

A modified Rives–Stoppa technique with composite mesh (FLaPp) in large incisional hernia: a multicentric retrospective cohort study

European Surgery - Large incisional hernias (LIH) are challenging conditions, often necessitating complex surgical procedures such as transversus abdominis muscle release (TAR). We evaluated the...     

Seafood-Associated Shellfish Allergy: A Comprehensive Review

Shellfish are diverse, serve as main constituents of seafood, and are extensively consumed globally because of their nutritional values. Consequently, increase in reports of IgE-mediated seafood allergy is particularly food associated to shellfish. Seafood-associated shellfish consists of crustaceans (decapods, stomatopods, barnacles, and euphausiids) and molluskans (gastropods, bivalves, and cephalopods) and its products can start from mild local symptoms and lead to severe systemic anaphylactic reactions through ingestion, inhalation, or contact like most other food allergens. Globally, the most commonly causative shellfish are shrimps, crabs, lobsters, clams, oysters, and mussels. The prevalence of shellfish allergy is estimated to be 0.5–2.5% of the general population but higher in coastal Asian countries where shellfish constitute a large proportion of the diet. Diversity in allergens such as tropomyosin, arginine kinase, myosin light chain, and sarcoplasmic binding protein are from crustaceans whereas tropomyosin, paramyosin, troponin, actine, amylase, and hemoyanin are reported from molluskans shellfish. Tropomyosin is the major allergen and is responsible for cross-reactivity between shellfish and other invertebrates, within crustaceans, within molluskans, between crustaceans vs. molluskans as well as between shellfish and fish. Allergenicity diagnosis requires clinical history, in vivo skin prick testing, in vitro quantification of IgE, immunoCAP, and confirmation by oral challenge testing unless the reactions borne by it are life-threatening. This comprehensive review provides the update and new findings in the area of shellfish allergy including demographic, diversity of allergens, allergenicity, their cross-reactivity, and innovative molecular genetics approaches in diagnosing and managing this life-threatening as well as life-long disease.