Maternal and Infant Characteristics and Pumping Profiles of Women That Predominantly Pump Milk for Their Infants.

Background: Whilst it is inconvenient and time-intensive, predominantly (PP) and exclusively pumping (EP) mothers rely on breast expression to provide milk for their infants and to ensure continued milk supply, yet these populations are poorly understood.

Methods: We assessed and characterised Western Australian PP mothers ( = 93) regarding 24 h milk production (MP) and infant milk intake and demographics, perinatal complications and breastfeeding difficulties, the frequencies of which were compared with published general population frequencies. Pumping efficacy and milk flow parameters during a pumping session in PP mothers ( = 32) were compared with those that pump occasionally (reference group, = 60).

Milk Composition Is Predictive of Low Milk Supply Using Machine Learning Approaches.

The causes of low milk supply are multifactorial, including factors such as gene mutations, endocrine disorders, and infrequent milk removal. These factors affect the functional capacity of the mammary gland and, potentially, the concentrations of milk components. This study aimed to investigate the differences in milk composition between mothers with low and normal milk supply and develop predictive machine learning models for identifying low milk supply.

Tracking Immunity: An Increased Number of COVID-19 Boosters Increases the Longevity of Anti-RBD and Anti-RBD-Neutralizing Antibodies.

Background/objectives: Since the World Health Organization declared COVID-19 a pandemic in March 2020, the virus has caused multiple waves of infection globally. Arizona State University (ASU), the largest four-year university in the United States, offers a uniquely diverse setting for assessing immunity within a large community. This study aimed to test our hypothesis that an increased number of exposures to SARS-CoV-2 RBD through vaccination/boosters/infection will increase SARS-CoV-2 antibody seroprevalence by increasing the longevity of anti-RBD and anti-RBD-neutralizing antibodies.

Geometrically constrained cytoskeletal reorganisation modulates DNA nanostructures uptake.

DNA nanostructures (DNs) have gained popularity in various biomedical applications due to their unique properties, including structural programmability, ease of synthesis and functionalization, and low cytotoxicity. Effective utilization of DNs in biomedical applications requires a fundamental understanding of their interactions with living cells and the mechanics of cellular uptake. Current knowledge primarily focuses on how the physicochemical properties of DNs, such as mass, shape, size, and surface functionalization, affect uptake efficacy.

Reinvestigation into the role of lipopolysaccharide Glycosyltransferases in protein glycosylation.

Protein glycosylation has been considered as a fundamental phenomenon shared by all domains of life. In , glycosylation of flagellins A and B with pseudaminic acid have been rigorously confirmed and shown to be essential for flagella assembly and bacterial colonization. In addition to flagellins, several other proteins including RecA, AlpA/B, and BabA/B in have also been reported to be glycosylated and to be dependent on the lipopolysaccharide (LPS) biosynthetic pathway.

Observation of the Protein-Inorganic Interface of Ferritin by Cryo-Electron Microscopy.

Visualizing the structure of the protein-inorganic interface is critically important for a more complete understanding of biomineralization. Unfortunately, there are limited approaches for the direct and detailed study of biomolecules that interact with inorganic materials. Here, we use single-particle cryo-electron microscopy (cryo-EM) to study the protein-nanoparticle (NP) interactions of human light chain ferritin and visualize the high-resolution details of the protein-inorganic interface.

Molecular dynamics model of mechanophore sensors for biological force measurement.

Cellular forces regulate an untold spectrum of living processes, such as cell migration, gene expression, and ion conduction. However, a quantitative description of mechanical control remains elusive due to the lack of general, live-cell tools to measure discrete forces between biomolecules. Here we introduce a computational pipeline for force measurement that leverages well-defined, tunable release of a mechanically activated small molecule fluorophore.

No free entry: stomatal state as decision maker in defining stress response strategies.

This article comments on: . 2024. Stomata: gatekeepers of uptake and defense signaling by green leaf volatiles in maize.

Symmetric 3-periodic polycatenanes: catenated rings, polyhedra and rods.

We report symmetric (vertex- and arc-transitive) embeddings of catenated rings, polyhedra and rods. Linked triangles form infinite families of structures, and we limit this report to only structures with each ring linked to three or six others. For linked squares, hexagons, tetrahedra, octahedra, cubes and rods, only a small number of symmetric structures were found, and all are reported.

A Non-Volatile Pro-Dicamba Herbicide Inspired by Meclofenoxate.

Dicamba is a popular herbicide with rising use but is also notorious for volatility drift. Inspired by meclofenoxate, which we show to be highly herbicidal, we developed a derivative of dicamba with an ester-bond to 2-dimethylaminoethanol. It remained herbicidal but is non-volatile, entering plants intact and hydrolyzing inside leaves to dicamba and 2-dimethylaminoethanol.

Crystal structure of Au-pseudocarbyne(C).

Carbyne-related materials permit exploring the potentially extraordinary properties of this long-sought but still elusive carbon allotrope. However, accurate understanding of these materials is challenging. Here we report the crystal structure of a Au-pseudocarbyne, a representative of a possible new family of materials consisting of sp-hybridized carbon chains and stabilizing metal atoms.

Combination of Coevolutionary Information and Supervised Learning Enables Generation of Cyclic Peptide Inhibitors with Enhanced Potency from a Small Data Set.

Computational generation of cyclic peptide inhibitors using machine learning models requires large size training data sets often difficult to generate experimentally. Here we demonstrated that sequential combination of Random Forest Regression with the pseudolikelihood maximization Direct Coupling Analysis method and Monte Carlo simulation can effectively enhance the design pipeline of cyclic peptide inhibitors of a tumor-associated protease even for small experimental data sets. Further studies showed that such -evolved cyclic peptides are more potent than the best peptide inhibitors previously developed to this target.

Agrobacterium-mediated transient transformation of Flaveria bidentis leaves: a novel method to examine the evolution of C photosynthesis.

The genus Flaveria has been studied extensively as a model for the evolution of C photosynthesis. Thus far, molecular analyses in this genus have been limited due to a dearth of genomic information and the lack of a rapid and efficient transformation protocol. Since their development, Agrobacterium-mediated transient transformation protocols have been instrumental in understanding many biological processes in a range of plant species.

Temporal changes in thiol-oxidized plasma albumin are associated with recovery from exercise-induced muscle damage after a marathon.

Exercise-induced muscle damage (EIMD) can affect athlete performance and is a risk factor for major muscle injury. The temporal profile of thiol-oxidized albumin, a marker of oxidative stress, has shown potential in assessing recovery from EIMD in non-athletically trained participants but not yet in trained participants. Our primary aim was to assess whether there are changes in the level of thiol-oxidized albumin after a marathon in athletically trained participants.

Health impacts of asphalt emissions: Examining neurological risks and the need for long-term exposure mitigation.

Asphalt, widely used in infrastructure, emits complex chemical mixtures throughout its service life, posing significant risks to human health and the environment. This expanded understanding extends the concern from a construction-related hazard to a broader public health issue, especially affecting vulnerable populations like children who play on blacktop surfaces. Despite increased awareness, the specific mechanisms behind asphalt emissions, their impact on asphalt deterioration, and their effects on the human nervous system remain poorly understood.

Modeling Diffusive Motion of Ferredoxin and Plastocyanin on the PSI Domain of MIT9313.

Diffusion of mobile charge carriers, such as ferredoxin and plastocyanin, often constitutes a rate-determining step in photosynthetic energy conversion. The diffusion time scales typically exceed that of other primary bioenergetic processes and remain beyond the reach of direct simulation at the molecular level. We characterize the diffusive kinetics of ferredoxin and plastocyanin upon the photosystem I-rich domain of , the most abundant phototroph on Earth by mass.

Maternal Allergic Disease Phenotype and Infant Birth Season Influence the Human Milk Microbiome.

Early infancy is a critical period for immune development. In addition to being the primary food source during early infancy, human milk also provides multiple bioactive components that shape the infant gut microbiome and immune system and provides a constant source of exposure to maternal microbiota. Given the potential interplay between allergic diseases and the human microbiome, this study aimed to characterise the milk microbiome of allergic mothers.

Small-Molecule Modulators of Lipid Raft Stability and Protein-Raft Partitioning.

Development of an understanding of membrane nanodomains colloquially known as "lipid rafts" has been hindered by a lack of pharmacological tools to manipulate rafts and protein affinity for rafts. We screened 24,000 small molecules for modulators of the affinity of peripheral myelin protein 22 (PMP22) for rafts in giant plasma membrane vesicles (GPMVs). Hits were counter-screened against another raft protein, MAL, and tested for impact on raft , leading to two classes of compounds.

Tuning the nanostructure and tribological properties of a non-ionic deep eutectic solvent with water addition.

Hypothesis: The addition of water to a non-ionic N-oxide deep eutectic solvent(DES) composed of phenylacetic acid (PhAA) and N-dodecylmorpholine-N-oxide(MO-12) in a 1:1 M ratio(PhAA/MO-12) will promote interfacial nanostructure formation due to increased proton transfer and solvophobic interactions, leading to reduced friction.

Experiments: The interfacial structure and friction of PhAA/MO-12 with water content up to 41.9 wt% were investigated at mica surfaces.

Draft genome sequences of six high pH adapted strains isolated from Mariana forearc serpentinite mud volcanoes.

Six marine bacterial isolates were obtained from fluid and sediments collected at alkaline serpentinite mud volcanoes of the Mariana forearc to examine life at high pH in a marine environment. Here, we present the draft genome sequences of these six isolates, classified as strains of the species .

Automating Blueprints for the Assembly of Colloidal Quasicrystal Clusters.

One of the frontiers of nanotechnology is advancing beyond the periodic self-assembly of materials. Icosahedral quasicrystals, aperiodic in all directions, represent one of the most challenging targets that has yet to be experimentally realized at the colloidal scale. Previous attempts have required meticulous human-designed building blocks and often resulted in interactions beyond the current experimental capabilities.

Virome assembly reveals draft genomes of native Pseudomonas phages isolated from a paediatric bronchoalveolar lavage sample.

We present lung virome data recovered through shotgun metagenomics in bronchoalveolar lavage fluid from an infant with cystic fibrosis, who tested positive for infection. Using a bioinformatic pipeline for virus characterization in shotgun metagenomic data, we identified five viral contigs representing Pseudomonas phages classified as Caudoviricetes.

DiffMAP-GP: Continuous 2D diffusion maps from particle trajectories without data binning using Gaussian processes.

Diffusion coefficients often vary across regions, such as cellular membranes, and quantifying their variation can provide valuable insight into local membrane properties such as composition and stiffness. Toward quantifying diffusion coefficient spatial maps and uncertainties from particle tracks, we develop a Bayesian framework (DiffMAP-GP) by placing Gaussian process (GP) priors on the family of candidate maps. For sake of computational efficiency, we leverage inducing point methods on GPs arising from the mathematical structure of the data giving rise to nonconjugate likelihood-prior pairs.

Structural plasticity of the coiled-coil interactions in human SFPQ.

The proteins SFPQ (splicing Factor Proline/Glutamine rich) and NONO (non-POU domain-containing octamer-binding protein) are mammalian members of the Drosophila Behaviour/Human Splicing (DBHS) protein family, which share 76% sequence identity in their conserved 320 amino acid DBHS domain. SFPQ and NONO are involved in all steps of post-transcriptional regulation and are primarily located in mammalian paraspeckles: liquid phase-separated, ribonucleoprotein sub-nuclear bodies templated by NEAT1 long non-coding RNA. A combination of structured and low-complexity regions provide polyvalent interaction interfaces that facilitate homo- and heterodimerisation, polymerisation, interactions with oligonucleotides, mRNA, long non-coding RNA, and liquid phase-separation, all of which have been implicated in cellular homeostasis and neurological diseases including neuroblastoma.