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Nanoscale Material Size Shapes Distinct Immune Transcriptional States Under Physiological Flow
Summary
Scientists exposed human immune cells to tiny plastic particles (nanoplastics) similar to those found in our blood from pollution, and discovered that different sized particles trigger different immune responses. The smaller 40-nanometer particles caused different changes in immune cells compared to larger 200-nanometer particles, and when both sizes were present together, the immune system responded in unexpected ways rather than just adding up the individual effects. This research helps us understand how the growing amount of plastic pollution in our bodies might be affecting our immune systems in complex ways we're just beginning to discover.
Nanoscale materials interact with circulating immune cells, yet how material size and exposure complexity shape transcriptional state organization under physiological flow conditions remains poorly understood. Controlled microfluidic exposure is combined with single-cell RNA sequencing to examine how size-defined polystyrene nanoplastics (PSNPs; 40 nm, 200 nm) and their combination modulate transcriptional programs in primary human peripheral blood mononuclear cells (PBMCs) under dynamic flow conditions. Across immune populations, PSNP exposure induces a conserved translational and RNA-regulatory program, indicating a shared intracellular adaptation framework. Upon this backbone, innate and adaptive immune compartments exhibit distinct organizational principles. Monocytes undergo size-dependent, pathway-coherent state remodeling, whereas B cells and CD4+; T cells display distributed, lineage-preserving transcriptional tuning without discrete state transitions. Combined exposure to different particle sizes does not produce additive responses but instead generates integrated transcriptional states in monocytes, revealing non-linear immune adaptation to heterogeneous material cues. These findings demonstrate that nanoscale material size and exposure complexity shape immune transcriptional state architecture under physiological flow and establish a framework for understanding dynamic material-immune interfaces at single-cell resolution.