METHODS: This study used data from the National Health and Morbidity Survey 2016: Maternal and Child Health. It includes a sample of 10 686 children, ages 0 to 59 mo, of Malay ethnicity. Height-for-age z score was determined based on the World Health Organization Anthro software. A binary logistic regression model was used to examine the association between the selected social determinants and the occurrence of stunting.
RESULTS: About 22.5% of children aged <5 y of Malay ethnicity were stunted. For those ages 0 to 23 mo, stunting is more prevalent in boys, in rural areas, and in those who have screen exposure, whereas a reduction of stunting was observed for those children whose mothers work in the private sector and in those who consume formula milk and meat. As for those ages 24 to 59 mo, there was a higher prevalence of stunting for those with self-employed mothers and reduced prevalence in children with hygienic waste disposal practices as well as those who play with toys.
CONCLUSIONS: The prevalence of stunting among children of Malay ethnicity aged <5 in Malaysia necessitates immediate intervention. It is pertinent to facilitate early identification of those children at risk of stunting for additional care to promote healthy growth.
METHOD: In this study, P. minor plants were exogenously elicited with MeJA and leaf samples were subjected to SWATH-MS proteomics analysis. A previously published translated transcriptome database was used as a reference proteome database for a comprehensive protein sequence catalogue and to compare their differential expression.
RESULTS: From this proteomics informed by transcriptomics approach, we have successfully profiled 751 proteins of which 40 proteins were significantly different between control and MeJA-treated samples. Furthermore, a correlation analysis between both proteome and the transcriptome data sets suggests that significantly upregulated proteins were positively correlated with their cognate transcripts (Pearson's r = 0.677) while a weak correlation was observed for downregulated proteins (r = 0.147).
DISCUSSION: MeJA treatment induced the upregulation of proteins involved in various biochemical pathways including stress response mechanism, lipid metabolism, secondary metabolite production, DNA degradation and cell wall degradation. Conversely, proteins involved in energy expensive reactions such as photosynthesis, protein synthesis and structure were significantly downregulated upon MeJA elicitation. Overall protein-transcript correlation was also weak (r = 0.341) suggesting the existence of post-transcriptional regulation during such stress. In conclusion, proteomics analysis using SWATH-MS analysis supplemented by the transcriptome database allows comprehensive protein profiling of this non-model herbal species upon MeJA treatment.
METHODS: Intermolecular synthons, hydrogen bonding, crystal morphology and surface chemistry are modelled using empirical force fields with the data integrated into the analysis of lattice deformation as computed using a statistical approach.
RESULTS: The approach developed comprises three main components. Firstly, the identification of the likely direction of deformation based on lattice unit cell geometry; secondly, the identification of likely lattice planes for deformation through the calculation of the strength and stereochemistry of interplanar intermolecular interactions, surface plane rugosity and surface energy; thirdly, identification of potential crystal planes for cleavage fracture by assessing intermolecular bonding anisotropy. Pentaerythritol is predicted to fracture by brittle cleavage on the {001} lattice planes by strong in-plane hydrogen-bond interactions in the <110>, whereas pentaerythritol tetranitrate is predicted to deform by plastic deformation through the slip system {110} , with both predictions being in excellent agreement with known experimental data.
CONCLUSION: A crystallographic framework and associated workflow for predicting the mechanical deformation of molecular crystals is developed through quantitative assessment of lattice energetics, crystal surface chemistry and crystal defects. The potential for the de novo prediction of the mechanical deformation of pharmaceutical materials using this approach is highlighted for its potential importance in the design of formulated drug products process as needed for manufacture by direct compression.