GIRD Systems (United States)

Therapeutic drug monitoring to optimize drug therapy typically relies on the inconvenience of repeated plasma sampling. Sweat is a potential alternative biofluid convenient for sampling. However, limited information exists regarding the range of drugs excreted in sweat and their correlation with plasma concentrations. This study evaluated drugs in sweat and plasma of an ambulatory clinical cohort. Pilocarpine-induced sweat was collected from ambulatory participants at a single instance using an absorbent nylon mesh, followed by concurrent blood sampling for ratio and correlation analyses. In a model drug study, the pharmacokinetics of acetaminophen in sweat and plasma were compared. Of the 14 drugs and 2 metabolites monitored in the clinical study, all compounds were present in sweat and plasma; however, the sweat-to-plasma ratio varied substantially across the drugs. Opioids and methocarbamol demonstrated the highest concentrations in sweat, sometimes exceeding plasma concentrations. Selected antidepressants and muscle relaxants were also detected in sweat at a 2-10-fold dilution to the plasma. Others, such as gabapentin and pregabalin, were highly diluted (>30-fold) in sweat compared with plasma. Together, these data suggest that molecular attributes, specifically hydrophobicity (logP) and charge state at physiologic pH (7.4), enable reasonable prediction of sweat-to-plasma drug correlation. These findings demonstrated that sweat could be used as an alternative biofluid for therapeutic drug monitoring. The findings also suggest that although it has been broadly accepted that small hydrophobic molecules most likely have a strong plasma correlation, there is a small window of hydrophobicity and charge state that permits sweat partitioning.

Abstract Introduction: TP53 is mutated in 30-40% of breast cancers and is associated with poor prognosis. Mutation of TP53 causes increased cellular proliferation, migration and invasion, and downstream activation of multiple pathways. HMG CoA reductase inhibitors, such as simvastatin, inhibit tumorigenic properties induced by TP53 mutation. Mechanism of this response is an important question in targeted cancer therapy. It is well known that HMG CoA reductase inhibitors block cholesterol production and prenylation. Therefore, we hypothesized that prenylation inhibitors would target p53 mutant cells primarily by inhibiting activation of the ras family induced by TP53 mutation. Method: We generated 5 MCF10A stably transduced cell lines over-expressing each of the common TP53 point mutations, R273H, G245S, R248Q, Y234C, or wild type p53. Total Ras, Ras-GTP, total RhoA and RhoA-GTP was measured by immunoprecipitation and immunoblot. Proliferation was measured using CellTiterGlo. The functional effects of a panel of prenylation inhibitors was measured using a caspase3 reporter assay, and migration was measured with a scratch assay. Illumina mRNA sequencing was performed to measure gene expression of mutant and wild type cells before and after simvastatin treatment (2.5µl, 48 h). The RNAseq was analyzed with the DAVID Enrichment tool to evaluate ras pathway activation induced by TP53 mutation. Results: Mutation in TP53 was associated with significant activation of both wild-type Ras and RhoA. Proliferation of cells expressing mutant TP53 was sensitive to a panel of prenylation inhibitors, including simvastatin. Growth inhibition by simvastatin correlated with induction of apoptosis, and could be fully rescued by addition of farnesylpyrophosphate or geranylgeranylpyrophosphate, suggesting that simvastatin functionally blocks both prenylation pathways which are activated in the presence of mutant p53 (IC50(wt/mut) = 4). RNAseq analysis confirms that Ras signaling pathways, including GAPs and GEFs are enriched in the presence of mutant TP53, and FOXO signaling is significantly targeted post statin treatment (P<0.01). Conclusion: p53 mutant breast cancer cells are highly sensitive to prenylation inhibition due to activation of both ras and rhoA. Simvastatin inhibits both farnesylation and geranylgeranylation, effectively blocking ras pathway activation and induction of proliferation in p53 mutant cell lines. A gene expression panel associated with ras pathway activation was identified and may be predictive biomarkers for sensitivity to statin therapy. Citation Format: Shay R. Ferdosi, Benjamin Katchman, Jia Loo, Harneet Grewal, Seron Eaton, Shanshan Yang, Jin Park, Joshua Labaer, Karen S. Anderson. Synthetic lethal targeting of p53 mutant cells with prenylation inhibitors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1218. doi:10.1158/1538-7445.AM2017-1218

One main drawback of using time difference of arrival (TDOA) methods for source localization and navigation is that they require centralization of multiple copies of a signal. This paper considers blindly estimating the location of a cyclic prefix (CP) in an orthogonal frequency division multiplexing (OFDM) signal, enabling distributed TDOA computation up to an integer ambiguity. This ambiguity can be resolved using integer least-squares methods, if enough TDOAs are available, requiring only minimal cooperation between receivers. The contributions of this paper are development of an algorithm for simultaneously resolving the integer ambiguities and obtaining a position estimate; and derivation of the Cramer-Rao lower bound (CRLB) on locating the CP, and hence, on the underlying source localization and navigation problems.

A unique acoustic emission monitoring system originally developed for in process weld monitoring has been used to monitor fatigue crack growth in a highway bridge during normal traffic loading. The system was able to clearly and reliably detect the presence of fatigue cracks that were adjacent to a row of bolts. The results of the brief experiment show that the signal processing used in this AE system may allow drastic improvements in the ability of acoustic emission to reliably detect propagating bridge flaws under adverse conditions.

A novel triaxial-torsional testing machine with temperature control has been designed, built, and rendered operational at the Center for Concrete and Geomaterials at Northwestern University. The technical features and capabilities of the machine are described. With a test cavity of diameter216mm (8.5 in), the machine can handle large specimens. The maximum axial load is5·MN (1.13 × 10 6 lb.), and the maximum torque is5.6 kNm (50,000 in.-lb.). The temperature range is from room to600°C (1110° F). The test chamber can be filled with gas or water with maximum pressure138 MPa (20,000 psi), and the specimens can be either sealed or unsealed. The machine opens new horizons in testing the constitutive and fracture properties of concrete and rock.