Gender differences in quality of life, physical activity, and risk of hypertension among sedentary occupation workers.

PURPOSE: This study aimed to explore gender differences among sedentary occupation workers with regard to their quality of life (QoL), physical activity, and risk for high blood pressure, and to identify factors associated with QoL. METHODS: A convenience sample of 2562 employees from randomly selected ten ministries in Kuwait completed self-administered questionnaires. Collected data included employees' socio-demographic characteristics, levels of QoL (using World Health Organization QoL-Brief tool), and physical activity (using the New Zealand Physical Activity Questionnaire Short Form), and anthropometric measures of weight, height, and blood pressure. Multinomial regression analysis, Chi-square, ANOVA, and student's t tests were implemented. A p value of 0.05 was considered significant. RESULTS: Participants' mean age was 35.3 years. QoL mean scores were total QoL (74.7), physical health (81.1), psychological health (75.4), social relationship (71.1), and environment (70.8). Females showed worse level of QoL, better physical activity, and higher prevalence of hypertension relative to males. Multinomial regression analysis revealed that female gender, low educational attainability, poor income, high job ranks, shorter working years, obesity, physical inactivity, hypertension, or having at least one chronic illness significantly correlated to fair and poor QoL. CONCLUSION: Sedentary occupation workers reported modest level of QoL and were at high risk of hypertension. Socio-demographic factors, physical activity, and health status were correlated to QoL. Gender differences existed in QoL, physical activity, and risk of hypertension. Improving employees' QoL through adopting strategies to promote healthy lifestyle in work settings should be activated. Further studies are recommended to explore cultural factors that drive gender differences in QoL.

Methoxyphenol derivatives as reversible inhibitors of myeloperoxidase as potential antiatherosclerotic agents.

Aim: To evaluate new chemical entities, based on ferulic acid scaffolds, as reversible myeloperoxidase inhibitors (MPOI). Methodology & results:In silico docking studies are performed with MPO protein as a target for several ferulic acid analogs followed by multiple in vitro assays to validate this approach. Two lead compounds 2a and 3 are identified with optimum docking and IC50 values: -7.95 kcal/mol, 0.9 µM and -8.35 kcal/mol, 8.5 µM, respectively. These MPOIs are able to inhibit oxidation of high-density lipoprotein and further promoted functionality of high-density lipoprotein. Conclusion: Lead analogs are potent MPOIs that exert specific effects on MPO-mediated oxidation as well as inflammatory pathways. It also acts as promoters of cholesterol efflux that sheds light on pharmacological approach in atherosclerosis treatment.

Effectiveness of iron-fortified infant cereals on hemoglobin levels of children aged 12-24 months: A cross-sectional study from New Delhi, India.

INTRODUCTION: Iron deficiency anemia represents 3rd largest disease burden, with an estimated 6.9 billion disability-adjusted life years. Iron-fortified cereals (IFIC) can contribute substantially in preventing iron deficiency anemia and maintaining an adequate body iron status. The aim of this study is to assess the effectiveness of IFIC intake along with other complementary food/s on the hemoglobin (hb) level of children from 12 to 24 months of age. MATERIALS AND METHODS: A cross-sectional study was conducted from November 2015 to February 2016 in three pediatric outpatient clinics of New Delhi, India. A predesigned questionnaire was used to elicit information on socio-demography, complementary feeding, and intake of IFIC from 66 mother and child pairs. Child's anthropometric measurement and hb levels were recorded by the pediatrician. Chi-square and Student's t-tests were used to compare the key study variables between IFIC (minimum 1-2 serving/day) and non-IFIC groups. Multiple logistic regression analysis was applied to explore the independent correlates of anemia in the study groups. RESULTS: Out of 66 children, 60.6% (n = 40) of children were boys. The prevalence of anemia (hb% <11 g/dl) was 42.4% (95% confidence interval (CI): 30.5%-55.2%, n = 28). Multiple logistic regression analysis revealed that the children in IFIC group were unlikely to be anemic (adjusted odds ratio (OR): 0.007, 95% CI: 0.001-0.079, P < 0.001). On the contrary, boys (adjusted OR: 11.6, 95% CI: 1.23-108.9, P = 0.032) and children with low birth weight (adjusted OR: 11.7, 95% CI: 1.23-111.76, P = 0.032) were associated with anemic status. CONCLUSION: Intake of IFIC (minimum 1-2 serving/day) was associated with the lesser chance of anemia in children of 12-24 months. However, gender and low birth weight were also associated with anemia. IFIC may have a role in mass fortification programs. However, further larger and controlled studies are recommended to test this hypothesis.

Tracking binding modes of 1,2,4-trisubstituted imidazolinone P38 MAP kinase and ERK-2 inhibitors.

Putative binding modes of recently reported p38 MAP Kinase and ERK-2 inhibitors containing 1,2,4-tri-substituted imidazolinone have been investigated using molecular docking methods In the case of p38 MAP Kinase, X-ray structures with both DFG-in and DFG-out conformations of the activation loop have been employed for docking studies. The present investigations demonstrate that the DFG-out conformation of the activation loop in p38 MAP Kinase accommodates the 1,2,4-tri-substituted imidazolinones with greater computed binding affinities than the alternative DFG-in conformation. The best scoring binding modes in ERK-2 are distinctly different from those found in the p38 MAP Kinase structures. Both sets of binding modes are characterized by an extensive network of hydrophobic and π-cation interactions, with the hinge region showing little hydrogen bonding propensity with the top-ranked poses. Thus, these docking studies provide a putative pathway for lead optimizations in which hydrogen bonding interactions with the hinge region residues are feasible.

Optimizing Nutrition in Preterm Low Birth Weight Infants-Consensus Summary.

Preterm birth survivors are at a higher risk of growth and developmental disabilities compared to their term counterparts. Development of strategies to lower the complications of preterm birth forms the rising need of the hour. Appropriate nutrition is essential for the growth and development of preterm infants. Early administration of optimal nutrition to preterm birth survivors lowers the risk of adverse health outcomes and improves cognition in adulthood. A group of neonatologists, pediatricians, and nutrition experts convened to discuss and frame evidence-based recommendations for optimizing nutrition in preterm low birth weight (LBW) infants. The following were the primary recommendations of the panel: (1) enteral feeding is safe and may be preferred to parenteral nutrition due to the complications associated with the latter; however, parenteral nutrition may be a useful adjunct to enteral feeding in some critical cases; (2) early, fast, or continuous enteral feeding yields better outcomes compared to late, slow, or intermittent feeding, respectively; (3) routine use of nasogastric tubes is not advisable; (4) preterm infants can be fed while on ventilator or continuous positive airway pressure; (5) routine evaluation of gastric residuals and abdominal girth should be avoided; (6) expressed breast milk (EBM) is the first choice for feeding preterm infants due to its beneficial effects on cardiovascular, neurological, bone health, and growth outcomes; the second choice is donor pasteurized human milk; (7) EBM or donor milk may be fortified with human milk fortifiers, without increasing the osmolality of the milk, to meet the high protein requirements of preterm infants; (8) standard fortification is effective and safe but does not fulfill the high protein needs; (9) use of targeted and adjustable fortification, where possible, helps provide optimal nutrition; (10) optimizing weight gain in preterm infants prevents long-term cardiovascular complications; (11) checking for optimal weight and sucking/swallowing ability is essential prior to discharge of preterm infants; and (12) appropriate counseling and regular follow-up and monitoring after discharge will help achieve better long-term health outcomes. This consensus summary serves as a useful guide to clinicians in addressing the challenges and providing optimal nutrition to preterm LBW infants.

Experimental conformational energy maps of proteins and peptides.

We have presented an extensive analysis of the peptide backbone dihedral angles in the PDB structures and computed experimental Ramachandran plots for their distributions seen under a various constraints on X-ray resolution, representativeness at different sequence identity percentages, and hydrogen bonding distances. These experimental distributions have been converted into isoenergy contour plots using the approach employed previously by F. M. Pohl. This has led to the identification of energetically favored minima in the Ramachandran (ϕ, ψ) plots in which global minima are predominantly observed either in the right-handed α-helical or the polyproline II regions. Further, we have identified low energy pathways for transitions between various minima in the (ϕ,ψ) plots. We have compared and presented the experimental plots with published theoretical plots obtained from both molecular mechanics and quantum mechanical approaches. In addition, we have developed and employed a root mean square deviation (RMSD) metric for isoenergy contours in various ranges, as a measure (in kcal.mol-1 ) to compare any two plots and determine the extent of correlation and similarity between their isoenergy contours. In general, we observe a greater degree of compatibility with experimental plots for energy maps obtained from molecular mechanics methods compared to most quantum mechanical methods. The experimental energy plots we have investigated could be helpful in refining protein structures obtained from X-ray, NMR, and electron microscopy and in refining force field parameters to enable simulations of peptide and protein structures that have higher degree of consistency with experiments. Proteins 2017; 85:979-1001. © 2017 Wiley Periodicals, Inc.

TRPV1 antagonism by piperazinyl-aryl compounds: A Topomer-CoMFA study and its use in virtual screening for identification of novel antagonists.

Transient Receptor Potential Vanilloid, member 1 (TRPV1), is a non-selective cation channel belonging to the transient receptor potential (TRP) family of ion channels. It occurs in the peripheral and central nervous system, activated by a variety of exogenous and endogenous stimuli, thus playing a key role in transmission of pain. This has been a target for chronic pain since more than a decade and a number of antagonists that progressed into clinical trials have failed due to the unexpected side effect of core body temperature rise, thus halting progress in this field. Of late, there has been an upsurge in research on this target, with the rat TRPV1 structure being determined, many new antagonists discovered that are temperature-neutral and many new therapeutic avenues being discovered for TRPV1, including diseases of respiratory and digestive systems, skin and bladder. Towards identifying diverse compounds to decipher the role of this target in various indications, here we report a 3D-QSAR model built using the new topomer-CoMFA methodology on a series of piperazinyl-aryl TRPV1 antagonists and the use of this model, along with a pharmacophore model and the shape of one of the potent compounds of this series, to virtually screen a subset of the ZINC database to find novel and diverse hits. These can serve as starting points to develop modality-selective antagonists for chronic pain and to elucidate the critical role of TRPV1 in the various new therapeutic areas.

PAIN--perception and assessment of painful procedures in the NICU.

This prospective cross-sectional study was undertaken to determine the frequency of procedural pain among 101 neonates in the first 14 days of admission to a neonatal intensive care unit (NICU) in South India and to study the perception of health-care professionals (HCP) about newborn procedural pain. The total number of painful procedures was 8.09 ± 5.53 per baby per day and 68.32 ± 64.78 per baby during hospital stay. The most common procedure was heel prick (30%). The HCP were administered a questionnaire to assess their perception of pain for various procedures. Procedures were perceived as more painful by nurses than by doctors. Chest tube placements and lumbar puncture were considered most painful. This study shows that the neonates in the NICU in developing countries experience many painful procedures. The awareness about this intensity of pain should provide a valuable tool in formulating pain-reduction protocols for management in low resource settings.

Comprehending renin inhibitor's binding affinity using structure-based approaches.

The performance of several structure-based design (SBD) approaches in predicting the binding affinity of diverse small molecule inhibitors co-crystallized to human renin was assessed to ascertain the modeling tool and method of choice required when dealing with structure-based lead optimization projects. Most of the SBD approaches investigated here were able to provide qualitative guidance, but quantitative accuracy as well as decisive discrimination between [in]actives is still not within reach. Such an outcome suggests that the current methods need improvement to capture the overall physics of the binding phenomenon for consistent applications in a lead optimization setting.

An integrated computational workflow for efficient and quantitative modeling of renin inhibitors.

A new integrated computational workflow that couples the strength of the molecular overlay methods to achieve rapid and automated alignments along with 3D-QSAR techniques like CoMFA and CoMSIA for quantitative binding affinity prediction is presented. The results obtained from such techniques are compared with rule-based Topomer CoMFA method, where possible. The developed 3D-QSAR models were prospectively used to predict the affinities of new compounds designed through R-group deconvolution starting from the core chemical scaffold and subsequent virtual combinatorial library enumeration. The general applicability of the seamless in silico modeling workflow is demonstrated using several datasets reported for small molecule inhibitors of renin.

Design, synthesis, and qualitative structure-activity evaluations of novel ß-secretase inhibitors as potential Alzheimer's drug leads.

We have identified highly selective imidazopyridines armed with benzimidazol and/or arylimidazole as potent ß-secretase inhibitors. The most effective and selective analogues demonstrated low nanomolar potency for the BACE1 enzyme as measured by FRET and cell-based (ELISA) assays and exhibited comparable affinity (KI) and high ligand efficiency (LE). In addition, these motifs were highly selective (>200) against the structurally related aspartyl protease BACE2. Our design strategy followed a traditional SAR approach and was supported by molecular modeling studies based on the previously reported hydroxyethylene transition state inhibitor derived from isophthalic acid I. Of the most potent compounds, 34 displayed an IC50 for BACE1 of 18 nM and exhibited cellular activity with an EC50 of 37 nM in the cell-based ELISA assay, as well as high affinity (KI=17 nM) and ligand efficiency (LE=1.7 kJ/mol). Compound 34 was found to be 204-fold more selective for BACE1 compared to the closely related aspartyl protease BACE2.

Rational design and synthesis of potent dibenzazepine motifs as beta-secretase inhibitors.

We have identified small-molecule dibenzazepine inhibitors of beta-secretase (BACE1). These BACE1 inhibitors possess two key salient features. The first is a seven-membered heterocyclic ring fused to two aromatic rings representing the P3-P2 residues. The second is an amide and/or amide bioisostere representing the P1' residue. Rational optimization led to the identification of potent analogues, such as 10 (K(I) = 211 nM).

A sequence and structure based method to predict putative substrates, functions and regulatory networks of endo proteases.

BACKGROUND: Proteases play a central role in cellular homeostasis and are responsible for the spatio-temporal regulation of function. Many putative proteases have been recently identified through genomic approaches, leading to a surge in global profiling attempts to characterize their function. Through such efforts and others it has become evident that many proteases play non-traditional roles. Accordingly, the number and the variety of the substrate repertoire of proteases are expected to be much larger than previously assumed. In line with such global profiling attempts, we present here a method for the prediction of natural substrates of endo proteases (human proteases used as an example) by employing short peptide sequences as specificity determinants. METHODOLOGY/PRINCIPAL FINDINGS: Our method incorporates specificity determinants unique to individual enzymes and physiologically relevant dual filters namely, solvent accessible surface area--a parameter dependent on protein three-dimensional structure and subcellular localization. By incorporating such hitherto unused principles in prediction methods, a novel ligand docking strategy to mimic substrate binding at the active site of the enzyme, and GO functions, we identify and perform subjective validation on putative substrates of matriptase and highlight new functions of the enzyme. Using relative solvent accessibility to rank order we show how new protease regulatory networks and enzyme cascades can be created. CONCLUSION: We believe that our physiologically relevant computational approach would be a very useful complementary method in the current day attempts to profile proteases (endo proteases in particular) and their substrates. In addition, by using functional annotations, we have demonstrated how normal and unknown functions of a protease can be envisaged. We have developed a network which can be integrated to create a proteolytic world. This network can in turn be extended to integrate other regulatory networks to build a system wide knowledge of the proteome.

Improving database enrichment through ensemble docking.

While it may seem intuitive that using an ensemble of multiple conformations of a receptor in structure-based virtual screening experiments would necessarily yield improved enrichment of actives relative to using just a single receptor, it turns out that at least in the p38 MAP kinase model system studied here, a very large majority of all possible ensembles do not yield improved enrichment of actives. However, there are combinations of receptor structures that do lead to improved enrichment results. We present here a method to select the ensembles that produce the best enrichments that does not rely on knowledge of active compounds or sophisticated analyses of the 3D receptor structures. In the system studied here, the small fraction of ensembles of up to 3 receptors that do yield good enrichments of actives were identified by selecting ensembles that have the best mean GlideScore for the top 1% of the docked ligands in a database screen of actives and drug-like "decoy" ligands. Ensembles of two receptors identified using this mean GlideScore metric generally outperform single receptors, while ensembles of three receptors identified using this metric consistently give optimal enrichment factors in which, for example, 40% of the known actives outrank all the other ligands in the database.

Validation studies of the site-directed docking program LibDock.

The performance of the site-features docking algorithm LibDock has been evaluated across eight GlaxoSmithKline targets as a follow-up to a broad validation study of docking and scoring software (Warren, G. L.; Andrews, W. C.; Capelli, A.; Clarke, B.; Lalonde, J.; Lambert, M. H.; Lindvall, M.; Nevins, N.; Semus, S. F.; Senger, S.; Tedesco, G.; Walls, I. D.; Woolven, J. M.; Peishoff, C. E.; Head, M. S. J. Med. Chem. 2006, 49, 5912-5931). Docking experiments were performed to assess both the accuracy in reproducing the binding mode of the ligand and the retrieval of active compounds in a virtual screening protocol using both the DJD (Diller, D. J.; Merz, K. M., Jr. Proteins 2001, 43, 113-124) and LigScore2 (Krammer, A. K.; Kirchoff, P. D.; Jiang, X.; Venkatachalam, C. M.; Waldman, M. J. Mol. Graphics Modell. 2005, 23, 395-407) scoring functions. This study was conducted using DJD scoring, and poses were rescored using all available scoring functions in the Accelrys LigandFit module, including LigScore2. For six out of eight targets at least 30% of the ligands were docked within a root-mean-square difference (RMSD) of 2.0 A for the crystallographic poses when the LigScore2 scoring function was used. LibDock retrieved at least 20% of active compounds in the top 10% of screened ligands for four of the eight targets in the virtual screening protocol. In both studies the LigScore2 scoring function enhanced the retrieval of crystallographic poses or active compounds in comparison with the results obtained using the DJD scoring function. The results for LibDock accuracy and ligand retrieval in virtual screening are compared to 10 other docking and scoring programs. These studies demonstrate the utility of the LigScore2 scoring function and that LibDock as a feature directed docking method performs as well as docking programs that use genetic/growing and Monte Carlo driven algorithms.

PHASE: a new engine for pharmacophore perception, 3D QSAR model development, and 3D database screening: 1. Methodology and preliminary results.

We introduce PHASE, a highly flexible system for common pharmacophore identification and assessment, 3D QSAR model development, and 3D database creation and searching. The primary workflows and tasks supported by PHASE are described, and details of the underlying scientific methodologies are provided. Using results from previously published investigations, PHASE is compared directly to other ligand-based software for its ability to identify target pharmacophores, rationalize structure-activity data, and predict activities of external compounds.

Partially unified multiple property recursive partitioning (PUMP-RP) analyses of cyclooxygenase (COX) inhibitors.

We have carried out partially unified multiple property recursive partitioning (PUMP-RP) analyses on a database of cyclooxygenase (COX) inhibitors, using CART methods implemented in Cerius(2). Three sets of physicochemical descriptors (ISIS public keys, DAYLIGHT Fingerprints, and Cerius(2)) were computed for the database molecules which were divided into two groups, assigned as training (89%) and test (11%-selected using diversity analyses tools in Cerius(2)) sets. The descriptors which led to the discrimination of active and selective COX-2 inhibitors included ISIS Key #59 (Snot%A%A), Balaban electrotopological index JY, partition coefficient AlogP, and Jurs surface area descriptors (FNSA, FPSA, and PPSA). A strong correlation is obtained between the predicted and experimental COX-2 inhibitory activity and a moderate correlation for selectivity of the COX-2 inhibitors, both in the training and test sets. Application of the RP trees to a validation set of Merck cyclooxygenase inhibitors shows good consistency with the COX-1 and COX-2 activity data, albeit moderate consistency with the selectivity data. Compared to the independent RP models (obtained by considering each activity separately), the PUMP-RP decision trees provide easier identification and interpretation of those descriptors that are common to both COX-1 and COX-2 activities. Similarly, they are easier to distinguish the descriptors that discriminate the two activities. The study represents a preliminary validation of the PUMP-RP method described in the previous article of this issue.