Invited review: Modeling milk stability

Novel insights into the stability of milk and milk products during storage and processing result from describing caseins near neutral pH as hydrophilic, intrinsically disordered, proteins. Casein solubility is strongly influenced by pH and multivalent ion binding. Solubility is high at neutral pH or above but decreases as casein net charge approaches zero, allowing a condensed casein phase or gel to form then increases at lower pH. Of particular importance for casein micelle stability near neutral pH is the proportion of free caseins in the micelle (i.e., caseins not bound directly to nanoclusters of calcium phosphate). Free caseins are more soluble and better able to act as molecular chaperones (to prevent casein and whey protein aggregation) than bound caseins. Some free caseins are highly phosphorylated and can also act as mineral chaperones to inhibit the growth of calcium phosphate phases and prevent mineralized deposits from forming on membranes or heat exchangers. Thus, casein micelle stability is reduced when free caseins bind to amyloid fibrils, destabilized whey proteins or calcium phosphate. The multivalent-binding model of the casein micelle quantitatively describes these and other factors affecting the stability of milk and milk protein products during manufacture and storage.

Size- and Dose-Dependent Body-Wide Organ Transcriptomic Responses to Calcium Phosphate Nanomaterials

Nanomaterials are widely used in clinical practice. There are potential risks of body-wide infiltration due to their small size; however, the body-wide reliable risk assessment of nanoparticle infiltration is not fully studied and established. In this study, we demonstrated the size- and dose-dependent body-wide organ transcriptomic responses to calcium phosphate nanomaterials in vivo. In a mice model, a calcium phosphate nanocluster (amorphous calcium phosphate, ACP, ∼1 nm in diameter) and its crystallization product (ACP-M, ∼10 nm in diameter) in a series of doses was administrated systematically; multiorgan transcriptomics were then performed with tissues of heart, liver, spleen, lung, kidney, and brain to investigate the systematic effect of dose and size of nanomaterials on the whole body. The results presented gene expression trajectories correlated with the dose of the nanomaterials and tissue-specific risk effects in all detected tissues. For the dose-dependent tissue-specific risk effects, lung tissue exhibited the most significant risk signatures related to apoptosis, cell proliferation, and cell stress. The spleen showed the second most significant risk signatures associated with immune response and DNA damage. For the size-dependent tissue-specific risk effects, ACP nanomaterials could increase most of the tissue-specific risk effects of nanomaterials in multiple organs than larger calcium phosphate nanoparticles. Finally, we used the size- and dose-dependent body-wide organ transcriptomic responses/risks to nanomaterials as the standards and built up a risk prediction model to evaluate the risk of the local nanomaterials delivery. Thus, our findings could provide a size- and dose- dependent risk assessment scale of nanoparticles in the transcriptomic level. It could be useful for risk assessment of nanomaterials in the future.