The early detection of the onset of transplant rejection is critical for the long-term survival of patients. The diagnostic gold-standard for detecting transplant rejection involves a core biopsy, which is invasive, has limited predictive power, and carries a morbidity risk. Here, we show that nanoparticles conjugated with a peptide substrate specific for the serine protease granzyme B, which is produced by recipient T cells during the onset of acute cellular rejection, can serve as a non-invasive biomarker of early rejection. Upon systemic administration in mouse models of skin-graft rejection, these nanosensors preferentially accumulate in allograft tissue, where they are cleaved by granzyme B, releasing a fluorescent reporter that filters into the recipient’s urine. Urinalysis then discriminates the onset of rejection with high sensitivity and specificity before features of rejection are apparent in grafted tissues. Moreover, in mice treated with subtherapeutic levels of immunosuppressive drugs, the reporter signals in urine can be detected before graft failure. This method may enable routine monitoring of allograft status without the need for biopsies.

Synthetic motors that consume chemical energy to produce mechanical work offer potential applications in many fields that span from computing to drug delivery and diagnostics. Among the various synthetic motors studied thus far, DNA-based machines offer the greatest programmability and have shown the ability to translocate micrometer-distances in an autonomous manner. DNA motors move by employing a burnt-bridge Brownian ratchet mechanism, where the DNA "legs" hybridize and then destroy complementary nucleic acids immobilized on a surface. We have previously shown that highly multivalent DNA motors that roll offer improved performance compared to bipedal walkers. Here, we use DNAgold nanoparticle conjugates to investigate and enhance DNA nanomotor performance. Specifically, we tune structural parameters such as DNA leg density, leg span, and nanoparticle anisotropy as well as buffer conditions to enhance motor performance. Both modeling and experiments demonstrate that increasing DNA leg density boosts the speed and processivity of motors, whereas DNA leg span increases processivity and directionality. By taking advantage of label-free imaging of nanomotors, we also uncover Levy-type motion where motors exhibit bursts of translocation that are punctuated with transient stalling. Dimerized particles also demonstrate more ballistic trajectories confirming a rolling mechanism. Our work shows the fundamental properties that control DNA motor performance and demonstrates optimized motors that can travel multiple micrometers within minutes with speeds of up to 50 nm/s. The performance of these nanoscale motors approaches that of motor proteins that travel at speeds of 100−1000 nm/s, and hence this work can be important in developing protocellular systems as well next generation sensors and diagnostics.

A key focus of current research in neuroeconomics concerns how the human brain computes value. Although, value has generally been viewed as an absolute measure (e.g., expected value, reward magnitude), much evidence suggests that value is more often computed with respect to a changing reference point, rather than in isolation. Here, we present the results of a study aimed to dissociate brain regions involved in reference-independent (i.e., "absolute") value computations, from those involved in value computations relative to a reference point. During functional magnetic resonance imaging, subjects acted as buyers and sellers during a market exchange of lottery tickets. At a behavioral level, we demonstrate that subjects systematically accorded a higher value to objects they owned relative to those they did not, an effect that results from a shift in reference point (i.e., status quo bias or endowment effect). Our results show that activity in orbitofrontal cortex and dorsal striatum track parameters such as the expected value of lottery tickets indicating the computation of reference-independent value. In contrast, activity in ventral striatum indexed the degree to which stated prices, at a within-subjects and between-subjects level, were distorted with respect to a reference point. The findings speak to the neurobiological underpinnings of reference dependency during real market value computations.

Textiles, especially those worn by patients and medical professionals, serve as vectors for proliferating pathogens. Upstream manufacturing techniques and end-user practices, such as transition-metal embedment in textile fibers or alcohol-based disinfectants, can mitigate pathogen growth, but both techniques have their shortcomings. Fiber embedment requires complete replacement of all fabrics in a facility, and the effects of embedded nanoparticles on human health remain unknown. Alcohol-based, end-user disinfectants are short-lived because they quickly volatilize. In this work, common zinc salts are explored as an end-user residual antimicrobial agent. Zinc salts show cost-effective and long-lasting antimicrobial efficacy when solution-deposited on common textiles, such as nylon, polyester, and cotton. Unlike common alcohol-based disinfectants, these zinc salt-treated textiles mitigate microbial growth for more than 30 days and withstand commercial drying. Polyester fabrics treated with ZnO and ZnCl were further explored because of their commercial ubiquity and likelihood for rapid commercialization. ZnCl-treated textiles were found to retain their antimicrobial coating through abrasive testing, whereas ZnO-treated textiles did not. Scanning electron microscopy, Fourier transform infrared spectroscopy, and differential scanning calorimetry analyses suggest that ZnCl likely hydrolyzes and reacts with portions of the polyester fiber, chemically attaching to the fiber, whereas colloidal ZnO simply sediments and binds with weaker physical interactions.