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Burkhart, D.

Publications and source records attributed to Burkhart, D..

2 recordsLinked to original sources
bioRxiv2025

A cationic liposome-formulated Toll Like Receptor (TLR)7/8 agonist enhances the efficacy of a vaccine against fentanyl toxicity

The U.S. opioid epidemic is an extraordinary public health crisis that started in 1990 and significantly accelerated in the last decade. Since 2020, over 100,000 fatal drug overdoses have been reported annually, and 75% of those involved fentanyl and its analogs (F/FA). Accelerating the translation of innovative, effective, and safe treatments is needed to augment existing measures to counteract such a crisis. Active immunization against F/FA and other opioids represents a promising therapeutic and prophylactic strategy for opioid use disorder (OUD) and opioid-induced overdose toxicity. Previously we demonstrated that the anti-fentanyl vaccine comprising a fentanyl-based hapten (F) conjugated to the diphtheria cross-reactive material (CRM), admixed with the novel lipidated toll-like receptor 7/8 (TLR7/8) agonist INI-4001 adsorbed on Alhydrogel(R) (alum) induced high-affinity fentanyl-specific polyclonal antibodies that protected against fentanyl-induced pharmacological effects in mice, rats, and mini-pigs. Here, INI-4001 was formulated into liposomes with different surface charges, and their impact on F-CRM adsorption, INI-4001 adjuvanticity, and vaccine efficacy were explored. Additionally, as the role of innate immunity in mediating the efficacy of addiction vaccines is largely unknown, we tested these formulations on the activation of innate immunity in vitro. Cationic INI-4001 liposomes surpassed other liposomal and aluminum-based formulations of INI-4001 by enhancing the efficacy of fentanyl vaccines and protecting rats against bradycardia and respiratory depression by blocking the distribution of fentanyl to the brain. Fentanyl vaccines adjuvanted with either cationic INI-4001 liposomes or the aqueous INI-4001 adsorbed to alum induced significant surface expression of co-stimulatory molecules and maturation markers in a murine dendritic cell line (JAWS II), while the former was superior in enhancing the macrophages surface expression of CD40, CD86 and inducible nitric oxide synthase (iNOS), indicative of maturation and activation. These results warrant further investigation of liposome-based formulations of TLR7/8 agonists for improving the efficacy of vaccines targeting F/FA and other opioids of public health interest. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=131 SRC="FIGDIR/small/631964v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@178c8fdorg.highwire.dtl.DTLVardef@d38c09org.highwire.dtl.DTLVardef@8ec41forg.highwire.dtl.DTLVardef@edcf82_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗
bioRxiv2023

In vivo Imaging using Surface Enhanced Spatially Offset Raman Spectroscopy (SESORS): Balancing Sampling Frequency to Improve Overall Image Acquisition

Background and RationaleIn the field of optical imaging, the ability to image tumors at depth with high selectivity and specificity remains a challenge. Surface enhanced resonance Raman scattering (SERRS) nanoparticles (NPs) can be employed as image contrast agents to specifically target cells in vivo, however, this technique typically requires time-intensive point-by-point acquisition of Raman spectra, thus hindering the real-time image acquisition desired for clinical applications. Moreover, traditional approaches involving Raman spectroscopy are limited in their inability to probe through tissue depths of more than a few millimeters. Here, we combine the use of "spatially offset Raman spectroscopy" (SORS) with that of SERRS in a technique known as "surface enhanced spatially offset resonance Raman spectroscopy" (SESORRS) to image deep-seated tumors in vivo. Additionally, by accounting for the laser spot size, we report an experimental SESORRS approach for detecting both the bulk tumor, subsequent delineation of tumor margins at high speed, and the identification of a deeper secondary region of interest with fewer measurements than are typically applied. MethodsTo enhance light collection efficiency, four modifications were made to a previously described custom-built SORS system. Specifically, the following parameters were increased: (i) the numerical aperture (NA) of the lens, from 0.2 to 0.34; (ii) the working distance of the probe, from 9 mm to 40 mm; (iii) the NA of the fiber, from 0.2 to 0.34; and (iv) the fiber diameter, from 100 {micro}m to 400 {micro}m. To calculate the sampling frequency, which refers to the number of data point spectra obtained for each image, we considered the laser spot size of the elliptical beam (6 x 4 mm). Using SERRS contrast agents, we performed in vivo SESORRS imaging on a GL261-Luc mouse model of glioblastoma at four distinct sampling frequencies: par-sampling frequency (12 data points collected), and over-frequency sampling by factors of 2 (35 data points collected), 5 (176 data points collected), and 10 (651 data points collected). ResultsIn comparison to the previously reported SORS system, the modified SORS instrument showed a 300% improvement in signal-to-noise ratios (SNR). Glioblastomas were imaged in vivo using SESORRS in mice (n = 3) and tumors were confirmed using MRI and histopathology. The results demonstrate the ability to acquire distinct Raman spectra from deep-seated glioblastomas in mice through the skull using a low power density (6.5 mW/mm2) and 30-times shorter integration times than a previous report (0.5 s versus 15 s). The ability to map the whole head of the mouse and determine a specific region of interest using as few as 12 spectra (6 second total acquisition time) is achieved. Subsequent use of a higher sampling frequency demonstrates it is possible to delineate the tumor margins in the region of interest with greater certainty. In addition, SESORRS images indicate the emergence of a secondary tumor region deeper within the brain in agreement with MRI and H&E staining. ConclusionIn comparison to traditional Raman imaging approaches, this approach enables improvements in the rapid detection of deep-seated tumors in vivo through depths of several millimeters due to improvements in SNR, spectral resolution, and depth acquisition. This approach offers an opportunity to navigate larger areas of tissues in shorter time frames than previously reported, identify regions of interest, and then image such area with greater resolution using a higher sampling frequency. Moreover, using a SESORRS approach, we demonstrate that it is possible to detect secondary, deeper-seated lesions through the intact skull.

bioengineering↗