Next Article in Journal
Breeding More Crops in Less Time: A Perspective on Speed Breeding
Next Article in Special Issue
Effects of Cohousing Mice and Rats on Stress Levels, and the Attractiveness of Dyadic Social Interaction in C57BL/6J and CD1 Mice as Well as Sprague Dawley Rats
Previous Article in Journal
Insect and Plant Diversity in Hot-Spring Ecosystems during the Jurassic-Cretaceous Boundary from Spain (Aguilar Fm., Palencia)
Previous Article in Special Issue
Sex Differences in Animal Models of Sodium-Valproate-Induced Autism in Postnatal BALB/c Mice: Whole-Brain Histoarchitecture and 5-HT2A Receptor Biomarker Evidence
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Systemic Administration of the TLR7/8 Agonist Resiquimod (R848) to Mice Is Associated with Transient, In Vivo-Detectable Brain Swelling

1
Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd., Stanford, CA 94305, USA
2
Neuroscience Program, SRI International, 333 Ravenswood Ave., Menlo Park, CA 94025, USA
*
Author to whom correspondence should be addressed.
Biology 2022, 11(2), 274; https://doi.org/10.3390/biology11020274
Submission received: 6 January 2022 / Revised: 24 January 2022 / Accepted: 26 January 2022 / Published: 10 February 2022

Abstract

:

Simple Summary

Physiological changes to the body can affect the brain. For example, inflammation that originates in the body can be sensed by the brain. In this study, we used an agent called resiquimod (R848) to stimulate inflammation in the periphery and measured structural and metabolic brain responses in anesthetized mice using in vivo magnetic resonance imaging. Relative to baseline prior to drug administration, a high dose of R848 caused sickness behaviors and volume expansion in several cortical regions at 3 h that were no longer evident at 24 h. Transient volume expansion in response to peripheral immune stimulation is consistent with brain swelling.

Abstract

Peripheral administration of the E. coli endotoxin lipopolysaccharide (LPS) to rats promotes secretion of pro-inflammatory cytokines and in previous studies was associated with transient enlargement of cortical volumes. Here, resiquimod (R848) was administered to mice to stimulate peripheral immune activation, and the effects on brain volumes and neurometabolites determined. After baseline scans, 24 male, wild-type C57BL mice were triaged into three groups including R848 at low (50 μg) and high (100 μg) doses and saline controls. Animals were scanned again at 3 h and 24 h following treatment. Sickness indices of elevated temperature and body weight loss were observed in all R848 animals. Animals that received 50 μg R848 exhibited decreases in hippocampal N-acetylaspartate and phosphocreatine at the 3 h time point that returned to baseline levels at 24 h. Animals that received the 100 μg R848 dose demonstrated transient, localized, volume expansion (~5%) detectable at 3 h in motor, somatosensory, and olfactory cortices; and pons. A metabolic response evident at the lower dose and a volumetric change at the higher dose suggests a temporal evolution of the effect wherein the neurochemical change is demonstrable earlier than neurostructural change. Transient volume expansion in response to peripheral immune stimulation corresponds with previous results and is consistent with brain swelling that may reflect CNS edema.

1. Introduction

Immune responses to potential pathogens are generally determined by engagement of specific pattern recognition receptors such as Toll-like, NOD-like, RIG-I-like, and C-type lectin receptors [1]. Toll-like receptors (TLRs) play a critical role in innate immunity [2]. Activation of TLR7/8 receptors is associated with cytotoxic T-cell responses, concomitant blocking of immunosuppressive cells [3,4,5,6,7], and upregulation of genes involved in inflammation such as pro-inflammatory cytokines (TNFα, IL6) [8] and type I interferons (IFN) [9,10,11,12]. Older literature suggests that TLR7 is present in a variety of CNS cell types, including neurons [13,14]. Recent reports, however, suggest preferential TLR7 distribution to microglia [15,16].
A number of ligands have been designed to boost (agonists) or block (antagonists) inherent signal transduction at TLR7/8 receptors. They are of interest in acute applications, such as adjuvants to vaccines [17,18], and in chronic protocols, such as immunotherapies for cancer [19,20]. There is also emerging evidence that TLR7/8 receptors may be an appropriate target for the treatment of alcohol-use disorders (AUD) e.g., [21,22,23]. One TLR7/8 agonist, imiquimod, has FDA approval [24]. In preclinical studies, topical imiquimod (i.e., Aldara cream) was associated with systemic pro-inflammatory cytokine production, enlargement of spleen and draining lymph nodes [25], induction of CNS chemokine and interferon signaling, infiltration of immune cells into the CNS [26,27], and increased Iba-1 and GFAP staining indicating micro- and astro- gliosis [28]. Imiquimod given at 50 μg intraperitoneal (i.p.) increased depressive symptoms in mice 2 h after treatment, possibly via elevated IFNα expression [29].
R848 (Resiquimod) is a synthetic, imidazoquinoline (i.e., tricyclic organic) compound able to activate immune cells via TLR7/8 MyD88-dependent signaling [30,31] with a much higher potency than imiquimod [32], but may have species (i.e., rodent vs. non-rodent) specific activity [33]. In rodents, administration of R848 (i.p.) induces acute sickness responses including hypophagia, body weight loss, and decreased voluntary locomotor activity [15,34,35]. In longitudinal evaluation, CNS pro-inflammatory gene expression (e.g., TNFα and IL6 peak at 4–6 h) and glial morphology alterations (e.g., increased Iba1 signal intensity) in response to R848 exposure were shown to undergo rapid tachyphylaxis [15].
A single injection of the E. coli endotoxin lipopolysaccharide (LPS, i.p.), which targets TLR4 [36,37], similarly induces acute (i.e., 2 h) pro-inflammatory cytokine signaling [38,39] and sickness responses [40]. In response to acute LPS-induced peripheral inflammation in rats, in vivo magnetic resonance imaging (MRI) and spectroscopy (MRS) revealed transient expansion of posterior midline CNS tissue volumes [41]— which may represent acute brain edema e.g., [42,43]—and transient elevations in striatal glutamine [41]. The current study, therefore, tested the hypothesis that peripheral TLR7/8 stimulation of mice with R848 would similarly result in MR-detectable changes to the brain including modulation of the glutamate/glutamine balance and brain swelling consistent with edema. To the best of our knowledge, only a single study has previously evaluated the in vivo effects of R848 using MRI but focused on cardiac, not brain, tissue [44].

2. Materials and Methods

2.1. Ethics Statement

All experimental procedures were conducted in accordance with the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. The Institutional Animal Care and Use Committees at SRI International and Stanford University approved all procedures.

2.2. Animals and Drugs

A total of 24 male C57Bl mice (Jackson Laboratories, Sacramento, CA, USA), arriving at 6 weeks of age (24.88 ± 1.7 g), were used in this study. Only male mice were included to minimize sex effects [45,46,47] and to expand on previous work [15]. Mice were housed three per cage, maintained in a pathogen-free facility on a 12-h light/dark cycle, and had ad libitum access to regular chow and water.
Resiquimod (R848, Invivogen, San Diego, CA, USA; catalog #tlrl-R848-5, version #16F20-MM) was dissolved in endotoxin-free water to 1 mg/mL and injected intraperitoneally (i.p.) at doses of 50 μg (~2 mg/kg) or 100 μg (~4 mg/kg) in experimental (R848) mice, while control animals received saline (0.9% NaCl, 100 μL). These R848 doses were chosen based on previous work in mice showing a detectable response at 10 μg and a more robust immune response at 100 μg [15,21,48]. Single use, sterile needles (27.5 gauge) were used to administer treatments.

2.3. Magnetic Resonance (MR) Scanning Procedures and Data Analysis

Each mouse was scanned three times with one scan per day over three consecutive days. The initial scan on day 1 was a baseline (scan 1). On day 2, mice were injected with either saline or R848 and scanned 3 h later (scan 2). On day 3, each animal underwent a final scan (scan 3), 24 h after the saline or R848 injection. These scan time points—3 h and 24 h after injection—were chosen because the literature reports optimal stimulation of the immune system (e.g., IFN-α and IFN-γ secretion) at 3 h and resolution typically by 24 h [49,50]. For each scan, mice were anesthetized with isoflurane (3% for induction; ~0.5–2% for maintenance during the scan); body weight and temperature were acquired and recorded; then animals were placed on the cradle base with built-in water circulation for body temperature control. Temperature and respiration were monitored throughout each scan (∼1 h). All animals received subcutaneous saline (0.5 mL) for hydration at the end of the scan.

2.3.1. MR Spectroscopy

Point RESolved Spectroscopy (PRESS) data were obtained from two voxels [bilateral hippocampus (6.0 × 1.5 × 2.5 mm3) and right dorsal striatum (3.0 × 3.0 × 2.5 mm3) (Figure 1a)] with TR = 2500 ms, TE = 16 ms, 760 points, spectral width 13.3177 ppm, receiver bandwidth 4000 Hz, and with VAPOR (variable power and optimized relaxation delays) outer volume water suppression (bandwidth 200 Hz). Water suppressed excitations (256) were at 2.35 ppm (the frequency of glutamate) and an additional unsuppressed acquisition (32 excitations) was acquired at 4.7 ppm for water scaling.
Metabolite concentrations were quantified with LCModel with eddy-current correction and water scaling (which accounts for CSF volume in the voxel) using a basis set of 21 metabolites. The analysis was run with the “water reference” option that provided reasonably meaningful absolute metabolite concentrations based on the unsuppressed water content of the voxel. The analysis window was 0.2–4.0 ppm. Data were pre-processed with zero-order phasing, referencing, and residual water line removal. Data were fit to a linear combination of a number of metabolites in a simulated basis set designed for Bruker 7T MRS data acquisition at TE = 16 ms provided by Stephen Provencher [[email protected]] [51,52] containing alanine, creatine (Cr), phosphocreatine (PCr), glutamine (Gln), glutamate (Glu), glycerophosphorylcholine (GPC), phosphorylcholine (PCh), glutathione (GSH), inositol (Ins), lactate, N-acetylaspartate (NAA), N-acetylaspartylglutamate (NAAG), scyllo-inositol, taurine, and several lipids and macromolecules (Figure 1b). Only metabolite concentrations derived from fitted spectra consistently within average Cramér–Rao bounds <15% were considered (Table 1).

2.3.2. Structural Magnetic Resonance Imaging (MRI)

MR data were collected on a Bruker 70/16 US AVANCE III 7.0T system (Karlsruhe, Germany) with 380 mT/m gradient strength on each (X, Y, and Z) axis, slew rate of 3420 T/m/s, 16 cm bore size using a Bruker mouse head volume coil (23 mm) and ParaVision 6.1 software. A gradient-recalled echo (GRE) localizer scan was used to position the animals in the scanner and for graphical prescription of the subsequent scans. Structural MR data analysis was based on acquisition of T2-weighted, high-resolution, TurboRare sequences: repetition time (TR) = 6774.8 ms; echo time (TE) = 33 ms; field of view (FOV) = 18 × 18; matrix = 144 × 144; pixel size = 0.125 × 0.125 × 0.5 mm3; 4 averages; echo spacing = 11 ms; rare factor (i.e., echo train length) = 8; slice thickness= 0.5 mm; 40 slices.
Structural MRI data preprocessing of each image included removal of noise [53] and inhomogeneity correction via ANTS 2.1.0 [54]. Each image was skull stripped by aligning a template to the scan via symmetric diffeomorphic registration [55], and the resulting deformation map was applied to the brain mask of the template. Image inhomogeneity correction was repeated on skull-stripped images. The structural template was segmented into CSF, gray matter, and white matter by fitting the histogram of image intensities with three Gaussians yielding the probability of the three tissue types on a voxel-by-voxel basis. A CSF mask was constructed comprising all voxels in which the probability of CSF was the largest of the three values (i.e., CSF volume, Table 2). In parallel, the template was parcellated into 42 regions-of-interest (ROIs) by first registering the Allen Reference Atlas (ARA) [56] to it and then projecting the CSF mask onto the ARA parcellation map. Finally, tissue segmentation and ARA parcellation were transformed to the space of each image using the prior deformation map and resampled in the template space by rigidly aligning the bias-corrected skull-stripped image to the template. Volume of the three tissue types within each ROI was calculated by Computational Morphometry Toolkit (CMTK) [57].
Of the 42 ARA atlas-defined ROIs, one ROI (cerebellar nuclei) was removed from analysis as the measure was deemed unreliable. The ARA olfactory cortex was divided into olfactory bulb and olfactory cortex. The remaining 41 ROIs were reduced to 19 ROIs by adding individual volumes as follows: fronto-orbital cortex = frontal pole cerebral cortex + orbital area; motor cortex = primary motor area + secondary motor area; somatosensory cortex = primary somatosensory area trunk, lower limb, nose, upper limb, barrel field, mouth + supplemental somatosensory area; insular cortex = gustatory areas + visceral area + agranular insular area; temporal cortex = auditory areas + temporal association areas; visual cortex = visual areas + retrosplenial area + posterior parietal association areas; cingulate cortex = anterior cingulate area + infralimbic area + prelimbic area; hippocampal formation = ectorhinal area + perirhinal area + hippocampal region + retrohippocampal region; striatum = striatum dorsal region + striatum ventral region + lateral septal complex + striatum-like amygdalar nuclei; thalamus = thalamus sensory-motor cortex related + thalamus polymodal association cortex related. The remaining volumes (i.e., olfactory bulb, olfactory cortex, cortical subplate, pallidum, hypothalamus, midbrain, pons, medulla, cerebellar cortex) were treated individually (i.e., not combined).

2.4. Statistics

Statistical analyses were conducted using JMP® Pro 16.0.0 (SAS Institute Inc., Cary, NC, USA, 1989–2021). Outlier values (i.e., >3 SD from mean) were winsorized as follows: for hippocampal PCr at scan 2 for a mouse treated with 100 μg R848 (from 2.62 to 7.09 I.U.); for volume of the medulla at scan 2 for a mouse treated with 50 μg R848 (from 24.84 to 31.29 mm3). Analyses included three-group (control, 50 μg R848, 100 μg R848), repeated-measures (baseline, 3 h, 24 h) multivariate analysis of variance (MANOVAs), followed by separate three-group ANOVAs per time point, and then two-group t-test comparisons. Non-parametric Spearman’s ρ correlational analysis was conducted where relevant.

3. Results

3.1. Sickness Responses

A three-group by three-time point MANOVA on body weight (expressed as percent of baseline) was significant (F4,42 = 11.9, p < 0.0001, Figure 2a). Body weight did not distinguish the three groups at scan (all normalized to zero) or scan 2 (F2,24 = 0.6, p = 0.57); the three-group ANOVA was significant at scan 3 (F2,24 = 20.2, p < 0.0001). At 24 h following injection, the 50 μg R848 group had lost 5.5% of their baseline body weight; the 100 μg R848 group lost 2.8% of their baseline body weight; the control group was unaffected.
A three-group by three-time point MANOVA on temperature was significant (F4,40 = 3.6, p = 0.01; Figure 2b; temperature data missing for one 50 μg R848-treated mouse). Temperature did not distinguish the three groups at baseline (F2,22 = 0.4, p = 0.66). At scan 2, 3 h following injection (F2,22 = 5.2, p = 0.02), the 50 μg R848-treated animals had a higher temperature than saline-treated mice (p = 0.004); the 100 μg R848 group had nominally higher temperature relative to the saline-treated group (p = 0.09); the 50 μg and 100 μg R848 treated animals were not different (p = 0.16). At scan 3, the three-group ANOVA was marginally significant (F2,22 = 3.1, p = 0.07): the 100 μg R848-treated mice had higher temperatures than the control animals (p = 0.02) but were not different from the 50 μg R848 treated animals (p = 0.24); temperature did not distinguish the 50 μg R848-treated and control mice at the third scan (p = 0.25).

3.2. MRS Metabolite Changes

Fifteen metabolites had average Cramér–Rao bounds <15% (Table 1). Two metabolites showed significant R848 treatment effects in the hippocampus, identified with three-group by three-time point MANOVAs: N-acetylaspartate (NAA, F4,42 = 4.7, p = 0.003) and phosphocreatine (PCr, F4,42 = 5.0, p = 0.002) (Figure 3). For both metabolites at scan 2, 3 h following R848 treatment, the 50 μg R848-treated group had lower NAA and lower PCr than the 100 μg R848-treated or saline groups. The overall pattern for the transient changes in hippocampal metabolite levels to R848 treatment (i.e., at the 3 h time point relative to baseline) indicated a minimal response for the saline group (NAA −0.03 ± 11.7%; PCr −1.3 ± 2.7%), a moderate decline in levels for the 50 μg R848-treated group (NAA −13.1 ± 17.2%; PCr −28.4 ± 16.2%), and a nominal increase for the 100 μg R848-treated group (NAA 7.0 ± 9.2%; PCr +20.9 ± 34.5%). In the striatum, three-group by three-time point MANOVAs were significant for glutamine (Gln, F4,42 = 3.83, p = 0.01) and phosphocholine (PCh, F4,42 = 2.60, p = 0.05) (Table 1). Follow-up ANOVAs, however, failed to identify group differences at any scan. Instead, the MANOVAs were significant due to changes in striatal metabolite levels in all three groups between scans 1 and 2: for Gln, a +10.0% increase in the 50 μg R848-treated group and decreases in the 100 μg R848-treated (−7.2%) and saline (−5.2%) groups; for PCh, a +16.3% increase in the saline group and decreases in the 50 μg (−8.1%) and 100 μg (−13.1%) R848-treated groups.

3.3. Structural MRI Volumetric Changes

Of the 20 ROIs listed in Table 2, only four were responsive to R848 treatment: motor (F4,42 = 2.9, p = 0.04), somatosensory (F4,42 = 3.2, p = 0.02), and olfactory (F4,42 = 3.7, p = 0.01) cortices; and pons (F4,42 = 3.0, p = 0.03) (Figure 4 and Figure 5). At scan 2 (3 h following injections), three-group ANOVAs were significant for motor (F2,24 = 4.7, p = 0.02), somatosensory (F2,24 = 3.6, p = 0.05), and olfactory (F2,24 = 3.7, p = 0.04) cortices; and pons (F2,24 = 3.7, p = 0.04). For all four ROIs, the 100 μg R848 group had larger volumes than the saline or 50 μg R848-treated groups. At scan 3 (24 h following injections), the ANOVAs no longer distinguished groups. The overall pattern for the transient ROI responses to R848 treatment (i.e., percent change at the 3 h relative to the baseline time point, averaged across the 4 ROIs) was the following: the saline group showed a nominal decline in volume (−1.7 ± 5.1%), the 50 μg R848-treated group showed a moderate decline in volume (−4.0 ± 3.8%), and the 100 μg R848-treated group showed an increase in volume (+5.10 ± 4.9%). The three-group by three-time point MANOVA for insular volume was significant (F4,42 = 4.4, p = 0.005), but was driven by the incidentally larger baseline volume of the insula in the to-be-treated 50 μg R848 group.

3.4. Correlations between Brain and Response Measures

Non-parametric Spearman ρ evaluated relationships among variables. In the 50 μg R848-treated group, relationships between changes in hippocampal metabolite levels, body weight, temperature, and ROI volumes were not forthcoming. For ROI volumes, only the 100 μg R848-treated group was considered. The percent change in body weight between scan 1 and scan 3 correlated with percent change in volume between scan 1 and scan 2 for somatosensory cortex (r = −0.79, p = 0.02) and olfactory cortex (r = −0.73, p = 0.04) (Figure 6).

4. Discussion

To the best of our knowledge, this is the first in vivo imaging study of the brain in response to peripheral R848 administration. The body weight loss observed at 24 h in the both 50 μg and 100 μg R848-treated mice is consistent with “sickness behavior” and previous observations, reported at doses as low as 10 μg [15,21]. Regarding temperature, previous studies suggest transient increases in temperature (e.g., at 2 h following R848) taken during the day, although there is some indication that body temperature in response to R848 may decrease at night [15,21].
Consistent with our previous study in rats in response to TLR4 activation with LPS, the current study in mice demonstrates transient volume expansion in cortical regions (including motor, somatosensory, and olfactory cortices) and pons. The time course of in vivo volume changes is consistent with the temporal profile of molecular changes, demonstrating acute inflammatory responses at early intervals, but virtually no residual responses [15,58]. Acknowledging that the regional distribution of TLR expression may depend on the type (e.g., hypoxia vs. concussion) and length of exposure to insult [59,60], the localization herein of the R848 response, to cortical regions, is compatible with evidence for TLR7 expression to neocortex of the developing mouse brain [61] and prominent cortical distribution in the adult mouse brain [16,62]. This pattern is in contrast to the LPS response in rats, which was localized to splenial, retrosplenial, and peri-callosal hippocampal regions, but comports with a predominately hippocampal distribution of TLR4 [63,64,65].
Transient metabolic changes observed at the 50 μg but not 100 μg dose may represent a continuous CNS response to the degree of peripheral inflammation. In other words, as there is evidence for a pro-inflammatory response to R848 to be concentration-dependent e.g., [66], lower concentrations of R848 with a lower pro-inflammatory response may only stimulate metabolic changes while higher doses associated with more pronounced pro-inflammation may result in brain swelling. Transient changes in the levels of NAA and PCr more likely reflect altered energy utilization than osmotic imbalance [67,68], which may manifest before volumetric changes evolve.
In summary, the current study recapitulates in vivo changes in body weight and temperature in response to peripherally administered R848 and expands on previous findings by demonstrating an in vivo CNS response to R848. The brief metabolic changes at the lower dose may reflect energy imbalance and the transient volumetric changes (i.e., swelling) at the higher dose may represent brain edema in response to peripheral immune stimulation. Remaining to be elucidated is the mechanism of pro-inflammatory signal transduction from the periphery to the brain which may include stimulation of the vagus nerve; activation of cerebral endothelial cells; or direct access to brain parenchyma via circumventricular organs.

Author Contributions

Conceptualization, N.M.Z. and A.P.; methodology, N.M.Z. and A.P.; formal analysis, Q.Z. and A.P.; investigation, R.G.; resources, N.M.Z. and A.P.; data curation, R.G. and N.M.Z.; writing—original draft preparation, N.M.Z.; writing—review and editing, Q.Z. and A.P.; project administration, N.M.Z.; funding acquisition, N.M.Z. and A.P. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by Grants R01 AA005965 and U01 AA013521 by the U.S. Department of Health and Human Services [NIH] National Institute on Alcohol Abuse and Alcoholism (NIAAA).

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Animal Care and Use Committees at SRI International and Stanford University. SRI International protocol 01019. Stanford University protocol 8800.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data that support the findings of this study will be openly available at https://data.mendeley.com/ (uploaded on 26 January 2022).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Takeuchi, O.; Akira, S. Pattern Recognition Receptors and Inflammation. Cell 2010, 140, 805–820. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Fitzgerald, K.A.; Kagan, J.C. Toll-like Receptors and the Control of Immunity. Cell 2020, 180, 1044–1066. [Google Scholar] [CrossRef]
  3. Anz, D.; Koelzer, V.H.; Moder, S.; Thaler, R.; Schwerd, T.; Lahl, K.; Sparwasser, T.; Besch, R.; Poeck, H.; Hornung, V.; et al. Immunostimulatory RNA blocks suppression by regulatory T cells. J. Immunol. 2010, 184, 939–946. [Google Scholar] [CrossRef] [PubMed]
  4. Spinetti, T.; Spagnuolo, L.; Mottas, I.; Secondini, C.; Treinies, M.; Rüegg, C.; Hotz, C.; Bourquin, C. TLR7-based cancer immunotherapy decreases intratumoral myeloid-derived suppressor cells and blocks their immunosuppressive function. Oncoimmunology 2016, 5, e1230578. [Google Scholar] [CrossRef] [Green Version]
  5. Bourquin, C.; Schmidt, L.; Lanz, A.L.; Storch, B.; Wurzenberger, C.; Anz, D.; Sandholzer, N.; Mocikat, R.; Berger, M.; Poeck, H.; et al. Immunostimulatory RNA oligonucleotides induce an effective antitumoral NK cell response through the TLR7. J. Immunol. 2009, 183, 6078–6086. [Google Scholar] [CrossRef]
  6. Hotz, C.; Treinies, M.; Mottas, I.; Rötzer, L.C.; Oberson, A.; Spagnuolo, L.; Perdicchio, M.; Spinetti, T.; Herbst, T.; Bourquin, C. Reprogramming of TLR7 signaling enhances antitumor NK and cytotoxic T cell responses. Oncoimmunology 2016, 5, e1232219. [Google Scholar] [CrossRef] [Green Version]
  7. Cheng, L.; Zhang, Z.; Li, G.; Li, F.; Wang, L.; Zhang, L.; Zurawski, S.M.; Zurawski, G.; Levy, Y.; Su, L. Human innate responses and adjuvant activity of TLR ligands in vivo in mice reconstituted with a human immune system. Vaccine 2017, 35, 6143–6153. [Google Scholar] [CrossRef]
  8. Ilyinskii, P.O.; Roy, C.J.; O’Neil, C.P.; Browning, E.A.; Pittet, L.A.; Altreuter, D.H.; Alexis, F.; Tonti, E.; Shi, J.; Basto, P.A.; et al. Adjuvant-carrying synthetic vaccine particles augment the immune response to encapsulated antigen and exhibit strong local immune activation without inducing systemic cytokine release. Vaccine 2014, 32, 2882–2895. [Google Scholar] [CrossRef] [Green Version]
  9. Kato, H.; Sato, S.; Yoneyama, M.; Yamamoto, M.; Uematsu, S.; Matsui, K.; Tsujimura, T.; Takeda, K.; Fujita, T.; Takeuchi, O.; et al. Cell Type-Specific Involvement of RIG-I in Antiviral Response. Immunity 2005, 23, 19–28. [Google Scholar] [CrossRef] [Green Version]
  10. Akira, S.; Uematsu, S.; Takeuchi, O. Pathogen Recognition and Innate Immunity. Cell 2006, 124, 783–801. [Google Scholar] [CrossRef] [Green Version]
  11. Minoda, Y.; Virshup, I.; Leal Rojas, I.; Haigh, O.; Wong, Y.; Miles, J.J.; Wells, C.A.; Radford, K.J. Human CD141(+) Dendritic Cell and CD1c(+) Dendritic Cell Undergo Concordant Early Genetic Programming after Activation in Humanized Mice In Vivo. Front. Immunol. 2017, 8, 1419. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Butchi, N.B.; Woods, T.; Du, M.; Morgan, T.W.; Peterson, K.E. TLR7 and TLR9 trigger distinct neuroinflammatory responses in the CNS. Am. J. Pathol. 2011, 179, 783–794. [Google Scholar] [CrossRef] [PubMed]
  13. Lehmann, S.M.; Krüger, C.; Park, B.; Derkow, K.; Rosenberger, K.; Baumgart, J.; Trimbuch, T.; Eom, G.; Hinz, M.; Kaul, D.; et al. An unconventional role for miRNA: Let-7 activates Toll-like receptor 7 and causes neurodegeneration. Nat. Neurosci. 2012, 15, 827–835. [Google Scholar] [CrossRef]
  14. Lehmann, S.M.; Rosenberger, K.; Krüger, C.; Habbel, P.; Derkow, K.; Kaul, D.; Rybak, A.; Brandt, C.; Schott, E.; Wulczyn, F.G.; et al. Extracellularly delivered single-stranded viral RNA causes neurodegeneration dependent on TLR7. J. Immunol. 2012, 189, 1448–1458. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Michaelis, K.A.; Norgard, M.A.; Levasseur, P.R.; Olson, B.; Burfeind, K.G.; Buenafe, A.C.; Zhu, X.; Jeng, S.; McWeeney, S.K.; Marks, D.L. Persistent Toll-like receptor 7 stimulation induces behavioral and molecular innate immune tolerance. Brain Behav. Immun. 2019, 82, 338–353. [Google Scholar] [CrossRef] [PubMed]
  16. Carroll, J.A.; Race, B.; Williams, K.; Striebel, J.F.; Chesebro, B. Innate immune responses after stimulation with Toll-like receptor agonists in ex vivo microglial cultures and an in vivo model using mice with reduced microglia. J. Neuroinflamm. 2021, 18, 194. [Google Scholar] [CrossRef] [PubMed]
  17. Hung, I.F.-N.; Zhang, A.J.; To, K.K.-W.; Chan, J.F.-W.; Li, P.; Wong, T.-L.; Zhang, R.; Chan, T.-C.; Chan, B.C.-Y.; Wai, H.H.; et al. Topical imiquimod before intradermal trivalent influenza vaccine for protection against heterologous non-vaccine and antigenically drifted viruses: A single-centre, double-blind, randomised, controlled phase 2b/3 trial. Lancet Infect. Dis. 2016, 16, 209–218. [Google Scholar] [CrossRef]
  18. Weldon, W.C.; Zarnitsyn, V.G.; Esser, E.S.; Taherbhai, M.T.; Koutsonanos, D.G.; Vassilieva, E.V.; Skountzou, I.; Prausnitz, M.R.; Compans, R.W. Effect of Adjuvants on Responses to Skin Immunization by Microneedles Coated with Influenza Subunit Vaccine. PLoS ONE 2012, 7, e41501. [Google Scholar] [CrossRef]
  19. Bath-Hextall, F.; Ozolins, M.; Armstrong, S.J.; Colver, G.B.; Perkins, W.; Miller, P.S.; Williams, H.C. Surgical excision versus imiquimod 5% cream for nodular and superficial basal-cell carcinoma (SINS): A multicentre, non-inferiority, randomised controlled trial. Lancet Oncol. 2014, 15, 96–105. [Google Scholar] [CrossRef]
  20. Schmid, D.; Park, C.G.; Hartl, C.A.; Subedi, N.; Cartwright, A.N.; Puerto, R.B.; Zheng, Y.; Maiarana, J.; Freeman, G.J.; Wucherpfennig, K.W.; et al. T cell-targeting nanoparticles focus delivery of immunotherapy to improve antitumor immunity. Nat. Commun. 2017, 8, 1747. [Google Scholar] [CrossRef]
  21. Grantham, E.K.; Warden, A.S.; McCarthy, G.S.; DaCosta, A.; Mason, S.; Blednov, Y.; Mayfield, R.D.; Harris, R.A. Role of toll-like receptor 7 (TLR7) in voluntary alcohol consumption. Brain Behav. Immun. 2020, 89, 423–432. [Google Scholar] [CrossRef] [PubMed]
  22. Qin, L.; Zou, J.; Barnett, A.; Vetreno, R.P.; Crews, F.T.; Coleman, L.G., Jr. TRAIL Mediates Neuronal Death in AUD: A Link between Neuroinflammation and Neurodegeneration. Int. J. Mol. Sci. 2021, 22, 2547. [Google Scholar] [CrossRef] [PubMed]
  23. Balan, I.; Aurelian, L.; Schleicher, R.; Boero, G.; O’Buckley, T.; Morrow, A.L. Neurosteroid allopregnanolone (3α,5α-THP) inhibits inflammatory signals induced by activated MyD88-dependent toll-like receptors. Transl. Psychiatry 2021, 11, 145. [Google Scholar] [CrossRef] [PubMed]
  24. Patinote, C.; Karroum, N.B.; Moarbess, G.; Cirnat, N.; Kassab, I.; Bonnet, P.-A.; Deleuze-Masquéfa, C. Agonist and antagonist ligands of toll-like receptors 7 and 8: Ingenious tools for therapeutic purposes. Eur. J. Med. Chem. 2020, 193, 112238. [Google Scholar] [CrossRef] [PubMed]
  25. van der Fits, L.; Mourits, S.; Voerman, J.S.A.; Kant, M.; Boon, L.; Laman, J.D.; Cornelissen, F.; Mus, A.-M.; Florencia, E.; Prens, E.P.; et al. Imiquimod-Induced Psoriasis-Like Skin Inflammation in Mice Is Mediated via the IL-23/IL-17 Axis. J. Immunol. 2009, 182, 5836–5845. [Google Scholar] [CrossRef]
  26. Thomson, C.A.; McColl, A.; Cavanagh, J.; Graham, G.J. Peripheral inflammation is associated with remote global gene expression changes in the brain. J. Neuroinflamm. 2014, 11, 73. [Google Scholar] [CrossRef] [Green Version]
  27. McColl, A.; Thomson, C.A.; Nerurkar, L.; Graham, G.J.; Cavanagh, J. TLR7-mediated skin inflammation remotely triggers chemokine expression and leukocyte accumulation in the brain. J. Neuroinflamm. 2016, 13, 102. [Google Scholar] [CrossRef] [Green Version]
  28. Nerurkar, L.; McColl, A.; Graham, G.; Cavanagh, J. The Systemic Response to Topical Aldara Treatment is Mediated Through Direct TLR7 Stimulation as Imiquimod Enters the Circulation. Sci. Rep. 2017, 7, 16570. [Google Scholar] [CrossRef]
  29. Kubo, Y.; Yanagawa, Y.; Matsumoto, M.; Hiraide, S.; Togashi, H. Enhanced depressive-like behaviors after Toll-like receptor 7 stimulation in mice. Nihon Shinkei Seishin Yakurigaku Zasshi 2013, 33, 41–47. [Google Scholar]
  30. Hemmi, H.; Kaisho, T.; Takeuchi, O.; Sato, S.; Sanjo, H.; Hoshino, K.; Horiuchi, T.; Tomizawa, H.; Takeda, K.; Akira, S. Small anti-viral compounds activate immune cells via the TLR7 MyD88-dependent signaling pathway. Nat. Immunol. 2002, 3, 196–200. [Google Scholar] [CrossRef]
  31. Jurk, M.; Heil, F.; Vollmer, J.; Schetter, C.; Krieg, A.M.; Wagner, H.; Lipford, G.; Bauer, S. Human TLR7 or TLR8 independently confer responsiveness to the antiviral compound R-848. Nat. Immunol. 2002, 3, 499. [Google Scholar] [CrossRef] [PubMed]
  32. Dowling, D.J. Recent Advances in the Discovery and Delivery of TLR7/8 Agonists as Vaccine Adjuvants. ImmunoHorizons 2018, 2, 185. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Govindaraj, R.G.; Manavalan, B.; Basith, S.; Choi, S. Comparative analysis of species-specific ligand recognition in Toll-like receptor 8 signaling: A hypothesis. PLoS ONE 2011, 6, e25118. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Damm, J.; Wiegand, F.; Harden, L.; Gerstberger, R.; Rummel, C.; Roth, J. Fever, sickness behavior, and expression of inflammatory genes in the hypothalamus after systemic and localized subcutaneous stimulation of rats with the Toll-like receptor 7 agonist imiquimod. Neuroscience 2012, 201, 166–183. [Google Scholar] [CrossRef] [PubMed]
  35. Hayashi, T.; Cottam, H.B.; Chan, M.; Jin, G.; Tawatao, R.I.; Crain, B.; Ronacher, L.; Messer, K.; Carson, D.A.; Corr, M. Mast cell-dependent anorexia and hypothermia induced by mucosal activation of Toll-like receptor 7. Am. J. Physiol. Regul. Integr. Comp. Physiol. 2008, 295, R123–R132. [Google Scholar] [CrossRef] [Green Version]
  36. Poltorak, A.; He, X.; Smirnova, I.; Liu, M.Y.; Van Huffel, C.; Du, X.; Birdwell, D.; Alejos, E.; Silva, M.; Galanos, C.; et al. Defective LPS signaling in C3H/HeJ and C57BL/10ScCr mice: Mutations in Tlr4 gene. Science 1998, 282, 2085–2088. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Beutler, B. Endotoxin, toll-like receptor 4, and the afferent limb of innate immunity. Curr. Opin. Microbiol. 2000, 3, 23–28. [Google Scholar] [CrossRef]
  38. Lu, Y.C.; Yeh, W.C.; Ohashi, P.S. LPS/TLR4 signal transduction pathway. Cytokine 2008, 42, 145–151. [Google Scholar] [CrossRef]
  39. Fritz, M.; Klawonn, A.M.; Nilsson, A.; Singh, A.K.; Zajdel, J.; Wilhelms, D.B.; Lazarus, M.; Löfberg, A.; Jaarola, M.; Kugelberg, U.; et al. Prostaglandin-dependent modulation of dopaminergic neurotransmission elicits inflammation-induced aversion in mice. J. Clin. Investig. 2016, 126, 695–705. [Google Scholar] [CrossRef] [Green Version]
  40. Abareshi, A.; Anaeigoudari, A.; Norouzi, F.; Marefati, N.; Beheshti, F.; Saeedjalali, M.; Hosseini, M. The effects of captopril on lipopolysaccharide-induced sickness behaviors in rats. Veter. Res. Forum Int. Q. J. 2019, 10, 199–205. [Google Scholar] [CrossRef]
  41. Fritz, M.; Klawonn, A.M.; Zhao, Q.; Sullivan, E.V.; Zahr, N.M.; Pfefferbaum, A. Structural and biochemical imaging reveals systemic LPS-induced changes in the rat brain. J. Neuroimmunol. 2020, 348, 577367. [Google Scholar] [CrossRef] [PubMed]
  42. Sokol, D.K.; Demyer, W.E.; Edwards-Brown, M.; Sanders, S.; Garg, B. From swelling to sclerosis: Acute change in mesial hippocampus after prolonged febrile seizure. Seizure 2003, 12, 237–240. [Google Scholar] [CrossRef] [Green Version]
  43. Shimosegawa, E.; Hatazawa, J.; Ibaraki, M.; Toyoshima, H.; Suzuki, A. Metabolic penumbra of acute brain infarction: A correlation with infarct growth. Ann. Neurol. 2005, 57, 495–504. [Google Scholar] [CrossRef] [PubMed]
  44. Baxan, N.; Papanikolaou, A.; Salles-Crawley, I.; Lota, A.; Chowdhury, R.; Dubois, O.; Branca, J.; Hasham, M.G.; Rosenthal, N.; Prasad, S.K.; et al. Characterization of acute TLR-7 agonist-induced hemorrhagic myocarditis in mice by multiparametric quantitative cardiac magnetic resonance imaging. Dis. Model. Mech. 2019, 12, dmm040725. [Google Scholar] [CrossRef] [Green Version]
  45. Klein, S.L.; Flanagan, K.L. Sex differences in immune responses. Nat. Rev. 2016, 16, 626–638. [Google Scholar] [CrossRef]
  46. Kawai, T.; Akira, S. Toll-like receptors and their crosstalk with other innate receptors in infection and immunity. Immunity 2011, 34, 637–650. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Souyris, M.; Mejía, J.E.; Chaumeil, J.; Guéry, J.C. Female predisposition to TLR7-driven autoimmunity: Gene dosage and the escape from X chromosome inactivation. Semin. Immunopathol. 2019, 41, 153–164. [Google Scholar] [CrossRef]
  48. Van, L.P.; Bardel, E.; Gregoire, S.; Vanoirbeek, J.; Schneider, E.; Dy, M.; Thieblemont, N. Treatment with the TLR7 agonist R848 induces regulatory T-cell-mediated suppression of established asthma symptoms. Eur. J. Immunol. 2011, 41, 1992–1999. [Google Scholar] [CrossRef]
  49. Hänel, G.; Angerer, C.; Petry, K.; Lichtenegger, F.S.; Subklewe, M. Blood DCs activated with R848 and poly(I:C) induce antigen-specific immune responses against viral and tumor-associated antigens. Cancer Immunol. Immunother. 2021, 1–14. [Google Scholar] [CrossRef]
  50. Serrano, R.; Coch, C.; Peters, C.; Hartmann, G.; Wesch, D.; Kabelitz, D. Monocyte-dependent co-stimulation of cytokine induction in human γδ T cells by TLR8 RNA ligands. Sci. Rep. 2021, 11, 15231. [Google Scholar] [CrossRef]
  51. Provencher, S.W. Estimation of metabolite concentrations from localized in vivo proton NMR spectra. Magn. Reson. Med. 1993, 30, 672–679. [Google Scholar] [CrossRef] [PubMed]
  52. Provencher, S.W. Automatic quantitation of localized in vivo 1H spectra with LCModel. NMR Biomed. 2001, 14, 260–264. [Google Scholar] [CrossRef] [PubMed]
  53. Coupe, P.; Yger, P.; Prima, S.; Hellier, P.; Kervrann, C.; Barillot, C. An optimized blockwise nonlocal means denoising filter for 3-D magnetic resonance images. IEEE Trans. Med. Imaging 2008, 27, 425–441. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Tustison, N.J.; Avants, B.B.; Siqueira, M.; Gee, J.C. Topological well-composedness and glamorous glue: A digital gluing algorithm for topologically constrained front propagation. IEEE Trans. Image Process. A Publ. IEEE Signal Process. Soc. 2011, 20, 1756–1761. [Google Scholar] [CrossRef] [PubMed]
  55. Tustison, N.J.; Avants, B.B.; Cook, P.A.; Zheng, Y.; Egan, A.; Yushkevich, P.A.; Gee, J.C. N4ITK: Improved N3 bias correction. IEEE Trans. Med. Imaging 2010, 29, 1310–1320. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Pallast, N.; Diedenhofen, M.; Blaschke, S.; Wieters, F.; Wiedermann, D.; Hoehn, M.; Fink, G.R.; Aswendt, M. Processing Pipeline for Atlas-Based Imaging Data Analysis of Structural and Functional Mouse Brain MRI (AIDAmri). Front. Neuroinform. 2019, 13, 42. [Google Scholar] [CrossRef] [PubMed]
  57. Rohlfing, T. Computational Morphometry Toolkit (CMTK). 2011. Available online: http://nitrc.org/projects/cmtk (accessed on 26 January 2022).
  58. Karlsson, A.; Jägervall, K.; Utkovic, H.; Karlsson, L.; Rehnström, E.; Fredin, M.F.; Gillberg, P.G.; Jansson, L.; Michaëlsson, E.; Melgar, S. Intra-colonic administration of the TLR7 agonist R-848 induces an acute local and systemic inflammation in mice. Biochem. Biophys. Res. Commun. 2008, 367, 242–248. [Google Scholar] [CrossRef]
  59. Smith, S.M.; Friedle, S.A.; Watters, J.J. Chronic intermittent hypoxia exerts CNS region-specific effects on rat microglial inflammatory and TLR4 gene expression. PLoS ONE 2013, 8, e81584. [Google Scholar] [CrossRef] [Green Version]
  60. Li, Y.; Korgaonkar, A.A.; Swietek, B.; Wang, J.; Elgammal, F.S.; Elkabes, S.; Santhakumar, V. Toll-like receptor 4 enhancement of non-NMDA synaptic currents increases dentate excitability after brain injury. Neurobiol. Dis. 2015, 74, 240–253. [Google Scholar] [CrossRef] [Green Version]
  61. Kaul, D.; Habbel, P.; Derkow, K.; Krüger, C.; Franzoni, E.; Wulczyn, F.G.; Bereswill, S.; Nitsch, R.; Schott, E.; Veh, R.; et al. Expression of Toll-like receptors in the developing brain. PLoS ONE 2012, 7, e37767. [Google Scholar] [CrossRef] [Green Version]
  62. Letiembre, M.; Hao, W.; Liu, Y.; Walter, S.; Mihaljevic, I.; Rivest, S.; Hartmann, T.; Fassbender, K. Innate immune receptor expression in normal brain aging. Neuroscience 2007, 146, 248–254. [Google Scholar] [CrossRef] [PubMed]
  63. Jiang, H.; Wang, Y.; Liang, X.; Xing, X.; Xu, X.; Zhou, C. Toll-Like Receptor 4 Knockdown Attenuates Brain Damage and Neuroinflammation After Traumatic Brain Injury via Inhibiting Neuronal Autophagy and Astrocyte Activation. Cell. Mol. Neurobiol. 2018, 38, 1009–1019. [Google Scholar] [CrossRef] [PubMed]
  64. Zhang, Y.; Zhang, Y.; Wu, R.; Gao, F.; Zang, P.; Hu, X.; Gu, C. Effect of cerebral small vessel disease on cognitive function and TLR4 expression in hippocampus. J. Clin. Neurosci. 2019, 67, 210–214. [Google Scholar] [CrossRef] [PubMed]
  65. Tang, S.; Yan, L.R.; Ma, Z.G.; Ji, C. Influences of the TLR4/NF-κB pathway on memory function and inflammatory factors in rats with cerebral small vessel disease. Eur. Rev. Med. Pharmacol. Sci. 2019, 23, 6264–6271. [Google Scholar] [CrossRef] [PubMed]
  66. Noll, F.; Behnke, J.; Leiting, S.; Troidl, K.; Alves, G.T.; Müller-Redetzky, H.; Preissner, K.T.; Fischer, S. Self-extracellular RNA acts in synergy with exogenous danger signals to promote inflammation. PLoS ONE 2017, 12, e0190002. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  67. Zahr, N.M.; Mayer, D.; Rohlfing, T.; Hasak, M.; Hsu, O.; Vinco, S.; Orduna, J.; Luong, R.; Sullivan, E.V.; Pfefferbaum, A. Brain Injury and Recovery Following Binge Ethanol: Evidence from In Vivo Magnetic Resonance Spectroscopy. Biol. Psychiatry 2010, 67, 846–854. [Google Scholar] [CrossRef] [Green Version]
  68. Zahr, N.M.; Mayer, D.; Rohlfing, T.; Orduna, J.; Luong, R.; Sullivan, E.V.; Pfefferbaum, A. A mechanism of rapidly reversible cerebral ventricular enlargement independent of tissue atrophy. Neuropsychopharmacology 2013, 38, 1121–1129. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Magnetic resonance spectroscopy (MRS) voxel location and exemplary spectra. (a) Voxels localized to striatum (top) and hippocampus (bottom) presented on coronal slices from posterior to anterior. (b) Group average spectra from 8 animals at baseline before receiving 100 μg R848. LCModel fits for Cho = glycerophosphorylcholine + phosphorylcholine in blue, Cr = creatine + phosphocreatine in green, Glu = glutamate in red, Gln = glutamine in blue, NAA = N-acetylaspartate in gray, MM14 and MM09 = macromolecules at 1.4 and 0.9 ppm in blue and red respectively.
Figure 1. Magnetic resonance spectroscopy (MRS) voxel location and exemplary spectra. (a) Voxels localized to striatum (top) and hippocampus (bottom) presented on coronal slices from posterior to anterior. (b) Group average spectra from 8 animals at baseline before receiving 100 μg R848. LCModel fits for Cho = glycerophosphorylcholine + phosphorylcholine in blue, Cr = creatine + phosphocreatine in green, Glu = glutamate in red, Gln = glutamine in blue, NAA = N-acetylaspartate in gray, MM14 and MM09 = macromolecules at 1.4 and 0.9 ppm in blue and red respectively.
Biology 11 00274 g001
Figure 2. Evidence for sickness behaviors in R848-treated animals. (a) Body weight at each scan relative to baseline scan body weights. (b) Temperature taken before each scan. Control = gray, 50 μg R848 = green, 100 μg R848 = red.
Figure 2. Evidence for sickness behaviors in R848-treated animals. (a) Body weight at each scan relative to baseline scan body weights. (b) Temperature taken before each scan. Control = gray, 50 μg R848 = green, 100 μg R848 = red.
Biology 11 00274 g002
Figure 3. Hippocampal N-acetylaspartate (NAA) and phosphocreatine (PCr) levels of the three groups at the three time points. Insets display mean ± SD for each group at each time point. Control = gray, 50 μg R848 = green, 100 μg R848 = red. * mM/kg wet weight.
Figure 3. Hippocampal N-acetylaspartate (NAA) and phosphocreatine (PCr) levels of the three groups at the three time points. Insets display mean ± SD for each group at each time point. Control = gray, 50 μg R848 = green, 100 μg R848 = red. * mM/kg wet weight.
Biology 11 00274 g003
Figure 4. Regional brain volumes (motor, somatosensory, olfactory, and pons) of the three groups at the three time points. Insets display mean ± SD for each group at each time point. Control = gray, 50 μg R848 = green, 100 μg R848 = red.
Figure 4. Regional brain volumes (motor, somatosensory, olfactory, and pons) of the three groups at the three time points. Insets display mean ± SD for each group at each time point. Control = gray, 50 μg R848 = green, 100 μg R848 = red.
Biology 11 00274 g004
Figure 5. Color-coded regions of interest (ROIs) projected on an outline of the Allen Reference Atlas (ARA) parcellations in (a) axial and (b) coronal views. Motor cortex = red, Somatosensory cortex = green, Olfactory cortex = magenta, Pons = mustard.
Figure 5. Color-coded regions of interest (ROIs) projected on an outline of the Allen Reference Atlas (ARA) parcellations in (a) axial and (b) coronal views. Motor cortex = red, Somatosensory cortex = green, Olfactory cortex = magenta, Pons = mustard.
Biology 11 00274 g005
Figure 6. Correlations between changes in body weight and changes in regional brain volumes (i.e., somatosensory and olfactory cortices) between scans 1 and 2 in the 100 μg R848-treated group.
Figure 6. Correlations between changes in body weight and changes in regional brain volumes (i.e., somatosensory and olfactory cortices) between scans 1 and 2 in the 100 μg R848-treated group.
Biology 11 00274 g006
Table 1. Statistical results for MRS metabolites with average Cramér-Rao bounds <15% in hippocampal and striatal voxels.
Table 1. Statistical results for MRS metabolites with average Cramér-Rao bounds <15% in hippocampal and striatal voxels.
HippocampusStriatum
Metabolite3-Group × 3-Time MANOVAs3-Group ANOVAs3-Group × 3-Time MANOVAs3-Group ANOVAs
Baseline3 h24 h Baseline3 h24 h
F(4,42) +p-ValueF(2,24), pF(2,24), pF(2,24), pF(4,42) +p-ValueF(2,24), pF(2,24), pF(2,24), p
Cr + PCr1.610.19n.s.n.s.n.s.2.040.11n.s.n.s.n.s.
GABA1.680.17n.s.n.s.n.s.0.140.97n.s.n.s.n.s.
Gln0.240.91n.s.n.s.n.s.3.830.012.3, 0.122.2, 0.130.5, 0.60
Glu0.610.66n.s.n.s.n.s.1.390.25n.s.n.s.n.s.
Glu + Gln0.150.96n.s.n.s.n.s.1.770.15n.s.n.s.n.s.
GPC + PCh0.330.86n.s.n.s.n.s.1.880.13n.s.n.s.n.s.
GSH0.740.57n.s.n.s.n.s.1.020.41n.s.n.s.n.s.
Ins1.730.16n.s.n.s.n.s.1.830.14n.s.n.s.n.s.
MM090.250.91n.s.n.s.n.s.0.880.48n.s.n.s.n.s.
MM09 + Lip090.450.77n.s.n.s.n.s.1.050.39n.s.n.s.n.s.
NAA4.670.0030.5, 0.644.4, 0.03 *1.9, 0.170.970.44n.s.n.s.n.s.
NAA + NAAG2.060.10n.s.n.s.n.s.1.030.41n.s.n.s.n.s.
PCh0.800.53n.s.n.s.n.s.2.600.052.3, 0.131.2, 0.341.1, 0.37
PCr4.960.0021.7, 0.214.6, 0.02 +2.1, 0.151.790.15n.s.n.s.n.s.
Tau1.230.31n.s.n.s.n.s.2.030.11n.s.n.s.n.s.
BOLD = significant; Cr = creatine, PCr = phosphocreatine, GABA = γ-aminobutyric acid, Gln = glutamine, Glu = glutamate, GPC = glycero-phosphocholine, PCh = phosphocholine, GSH = glutathione, Ins = Inositol, MM = macromolecule, Lip = lipid, NAA = N-acteylasparate, NAAG = N-acetyl-aspartylglutamate, PCr = phosphocreatine, Tau = taurine; * 0.01, 50 μg R848 < 100 μg R848 at 3 h—0.04, 50 μg R848 < saline at 3 h; + 0.008, 50 μg R848 < 100 μg R848 at 3 h—0.04, 50 μg R848 < saline at 3 h. n.s. = no significant.
Table 2. Statistical results for regions of interest delineated by the Allen Reference Atlas.
Table 2. Statistical results for regions of interest delineated by the Allen Reference Atlas.
RegionSubregionSize (mm3) *3-Group × 3-Time MANOVAs3-Group ANOVAst-Tests
Baseline3 h24 h
F(4,42)p-ValueF(2,24), pF(2,24), pF(2,24), pp-ValuesComparisons
Isocortex (Cerebral cortex/Cortical plate)
Fronto-Orbital 15.2 ± 0.31.710.17n.s.n.s.n.s.
Motor 219.5 ± 0.62.870.041.2, 0.324.7, 0.021.1, 0.360.01100μg R848 > 50μg R848 at 3 h
Somatosensory 325.4 ± 0.93.160.023.4, 0.053.6, 0.052.2, 0.140.0250 μg R848 > 100 μg R848 at baseline
0.03100μg R848 > 50μg R848 at 3 h
0.03100μg R848 > saline at 3 h
Insula 49.7 ± 0.54.430.0056.0, 0.0091.9, 0.180.6, 0.560.00350 μg R848 > 100 μg R848 at baseline
0.0350 μg R848 > saline at baseline
Temporal 56.9 ± 0.41.510.22n.s.n.s.n.s.
Visual 621.6 ± 0.91.050.39n.s.n.s.n.s.
Cingulate 76.6 ± 0.32.150.09n.s.n.s.n.s.
Olfactory Areas
Olfactory bulb23.9 ± 1.21.770.15n.s.n.s.n.s.
Olfactory cortex 822.7 ± 0.93.710.013.1, 0.073.7, 0.040.6, 0.570.02100μg R848 > saline at 3 h
Hippocampal Formation 936.8 ± 1.41.330.28n.s.n.s.n.s.
Cortical Subplate6.4 ± 0.30.800.53n.s.n.s.n.s.
Cerebral Nuclei
Striatum 1035.1 ± 1.30.970.43n.s.n.s.n.s.
Pallidum8.4 ± 0.41.280.29n.s.n.s.n.s.
Brainstem
Thalamus 1116.8 ± 0.60.730.57n.s.n.s.n.s.
Hypothalamus13.9 ± 0.52.180.09n.s.n.s.n.s.
Midbrain 35.2 ± 1.21.700.17n.s.n.s.n.s.
Hindbrain
Pons17.1 ± 0.83.010.031.3, 0.293.6, 0.040.9, 0.430.03100μg R848 > 50μg R848 at 3 h
0.03100μg R848 > saline at 3 h
Medulla36.5 ± 1.62.290.08n.s.n.s.n.s.
Cerebellar cortex48.5 ± 1.91.990.11n.s.n.s.n.s.
CSF 10.7 ± 0.82.120.10n.s.n.s.n.s.
TOTAL 470.14 ± 15.02.400.07n.s.n.s.n.s.
* mean ± SD of 24 animals at baseline; sum of 20 regions*1.15557 to account for exclusion of white matter by ATLAS; BOLD = significant; 1 frontal pole cerebral cortex + orbital area; 2 primary motor area + secondary motor area; 3 primary somatosensory area: trunk, lower limb, nose, upper limb, barrel field, mouth + supplemental somatosensory area; 4 gustatory areas + visceral area + agranular insular area; 5 auditory areas + temporal association areas; 6 visual areas + retrosplenial area + posterior parietal association areas; 7 anterior cingulate area + infralimbic area + prelimbic area; 8 accessory olfactory bulb + anterior olfactory nucleus + taenia tecta + dorsal peduncular area + piriform area + nucleus of the lateral olfactory + cortical amygdalar area + piriform-amygdalar area + post-piriform transition area; 9 ectorhinal area + perirhinal area + hippocampal region + retrohippocampal region; 10 striatum dorsal region + striatum ventral region + lateral septal complex + striatum-like amygdalar nuclei; 11 thalamus sensory-motor cortex related + thalamus polymodal association cortex related. n.s. = no significant.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Zahr, N.M.; Zhao, Q.; Goodcase, R.; Pfefferbaum, A. Systemic Administration of the TLR7/8 Agonist Resiquimod (R848) to Mice Is Associated with Transient, In Vivo-Detectable Brain Swelling. Biology 2022, 11, 274. https://doi.org/10.3390/biology11020274

AMA Style

Zahr NM, Zhao Q, Goodcase R, Pfefferbaum A. Systemic Administration of the TLR7/8 Agonist Resiquimod (R848) to Mice Is Associated with Transient, In Vivo-Detectable Brain Swelling. Biology. 2022; 11(2):274. https://doi.org/10.3390/biology11020274

Chicago/Turabian Style

Zahr, Natalie May, Qingyu Zhao, Ryan Goodcase, and Adolf Pfefferbaum. 2022. "Systemic Administration of the TLR7/8 Agonist Resiquimod (R848) to Mice Is Associated with Transient, In Vivo-Detectable Brain Swelling" Biology 11, no. 2: 274. https://doi.org/10.3390/biology11020274

APA Style

Zahr, N. M., Zhao, Q., Goodcase, R., & Pfefferbaum, A. (2022). Systemic Administration of the TLR7/8 Agonist Resiquimod (R848) to Mice Is Associated with Transient, In Vivo-Detectable Brain Swelling. Biology, 11(2), 274. https://doi.org/10.3390/biology11020274

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop