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Inducing sterile pyramidal neuronal death in mice to model distinct aspects of gray matter encephalitis
Acta Neuropathologica Communications volume 9, Article number: 121 (2021)
Abstract
Up to one person in a population of 10,000 is diagnosed once in lifetime with an encephalitis, in 50–70% of unknown origin. Recognized causes amount to 20–50% viral infections. Approximately one third of affected subjects develops moderate and severe subsequent damage. Several neurotropic viruses can directly infect pyramidal neurons and induce neuronal death in cortex and hippocampus. The resulting encephalitic syndromes are frequently associated with cognitive deterioration and dementia, but involve numerous parallel and downstream cellular and molecular events that make the interpretation of direct consequences of sudden pyramidal neuronal loss difficult. This, however, would be pivotal for understanding how neuroinflammatory processes initiate the development of neurodegeneration, and thus for targeted prophylactic and therapeutic interventions. Here we utilized adult male NexCreERT2xRosa26-eGFP-DTA (= ‘DTA’) mice for the induction of a sterile encephalitis by diphtheria toxin-mediated ablation of cortical and hippocampal pyramidal neurons which also recruits immune cells into gray matter. We report multifaceted aftereffects of this defined process, including the expected pathology of classical hippocampal behaviors, evaluated in Morris water maze, but also of (pre)frontal circuit function, assessed by prepulse inhibition. Importantly, we modelled in encephalitis mice novel translationally relevant sequelae, namely altered social interaction/cognition, accompanied by compromised thermoreaction to social stimuli as convenient readout of parallel autonomic nervous system (dys)function. High resolution magnetic resonance imaging disclosed distinct abnormalities in brain dimensions, including cortical and hippocampal layering, as well as of cerebral blood flow and volume. Fluorescent tracer injection, immunohistochemistry and brain flow cytometry revealed persistent blood–brain-barrier perturbance and chronic brain inflammation. Surprisingly, blood flow cytometry showed no abnormalities in circulating major immune cell subsets and plasma high-mobility group box 1 (HMGB1) as proinflammatory marker remained unchanged. The present experimental work, analyzing multidimensional outcomes of direct pyramidal neuronal loss, will open new avenues for urgently needed encephalitis research.
Introduction
Encephalitis is best defined as inflammation of the brain parenchyma associated with variable neuropsychiatric dysfunction, ranging from mild to sometimes life-threatening severity. The underlying origins of encephalitis are multitude, and include infectious causes, comprising viral, bacterial, fungal, and parasitic agents, but also toxic, metabolic, (para)neoplastic and autoimmune or rarely post-immunization etiologies [29, 40, 42]. World travellers for example may be exposed to a variety of neurotropic pathogens leading to ‘exotic’ causes of central nervous system (CNS) infections [22]. Interestingly, increasing evidence points to genetic reasons of mild encephalitis which may often escape recognition until progressed age [17, 20, 37]. In about 50–70% of encephalitis cases, an etiologic agent is never identified, presumably due to the broad range of possible underlying origins and limitations in contemporary diagnostic testing, but likely also because of continuing pathogenetic dynamics in the absence of the formerly inducing agent [22, 29, 40, 42].
As recurrent common denominator in encephalitides and mediator of severe downstream sequelae, neuronal dysfunction or death are observed, associated with cognitive decline and dementia. Viral infections with neurotropism, particularly affecting neurons of cortex and hippocampus occur across many species. They include for instance human immunodeficiency, Theiler's murine encephalomyelitis, West Nile, human herpes simplex, Japanese encephalitis, and in immunocompromised humans or macaques, respectively, John Cunningham (JC) and Simian 40 (SV40) virus [10, 11, 21, 41, 47, 48]. Encephalitis is also a common neurological complication in patients with COVID-19, where we just begin to understand mechanisms of brain infection and post-infection sequelae [6, 18, 25, 28].
Comprehending the pathophysiological mechanisms of encephalitides is crucially important for developing more efficient treatment strategies, including neuroprotective interventions, particularly with regard to longterm damage. Although mortality markedly decreased and etiologies somewhat shifted, no clear long-term improvements in outcome were seen, as reported in a 40-year survey in Sweden [45]. Considering the prevailing neuropsychiatric disabilities following encephalitides, refining their outcome should be a highly prioritised research issue [45].
The present longitudinal study has been designed to analyze by innovative behavioral and magnetic resonance imaging tools in vivo, as well as by various ex vivo and post mortem tests, the downstream consequences of sudden pyramidal neuronal loss, including reactive neuroinflammatory and subsequent neurodegenerative processes. Experimentally eliminating in our model the numerous parallel cellular and molecular events characterizing infections, that make interpretation of causes and consequences often hard, will aid in better understanding mechanisms of neurodegeneration in general and thus in developing more targeted diagnostic instruments and therapeutic interventions.
Materials and methods
Mice
All animal experiments were approved by the local animal care and use committee (LAVES, Niedersächsisches Landesamt für Verbraucherschutz und Lebensmittelsicherheit, Oldenburg, Germany) in accordance with the German animal protection law. Mice were maintained in temperature- and humidity- controlled environment (~ 22 °C, ~ 50%), 12 h light/dark cycle (light on at 7am) with food and water ad libitum. Cages were enriched with wood-chip bedding and nesting material (Sizzle Nest, Datesand). All experiments were performed by investigators unaware of group assignment (‘fully blinded’). Behavioral testing-order was balanced between groups prior to experiments and randomized within groups via random selection by the blinded investigator.
C57BL/6 mice bearing the tamoxifen-inducible diphtheria toxin chain A allele were generated by crossing homozygous Neurod6tm2.1(cre/ERT2)Kan (‘NexCreERT2’, [1]) with heterozygous Gt(ROSA)26Sortm1(DTA)Jpmb (‘Rosa26-eGFP-DTA’, [19]) resulting in double heterozygous inducible (‘DTA’) mice and heterozygous NexCreERT2 littermate (‘control’) mice lacking the DTA allele. Detailed PCR-based genotyping protocols are available upon request. Male transgenic mice were weaned at postnatal day 21 and separated by genotype to avoid inclusion effects or aggressive behavior against potentially affected animals. Experiments were performed on adult male mice (starting age 6–8 months) over a period of approximately 2 months.
Tamoxifen induction
Tamoxifen (CAS#10540-29-1 T5648, Sigma-Aldrich) was dissolved in corn oil (C8267, Sigma-Aldrich) on injection days at 10 mg/mL. Dependent on the experimental cohort, mice received either 3 or 5 daily intraperitoneal injections of 100 mg tamoxifen/kg body weight.
Blood sampling and high-mobility group box 1 (HMGB1) ELISA
Intermediate blood samples (100µL) were collected 2 weeks after the last tamoxifen injection from the retro-orbital sinus. Terminal blood (500µL) was sampled by cardiac puncture before transcardial perfusion. EDTA plasma aliquots were stored at −80 °C. Plasma HMGB1 concentrations were determined using a commercial HMGB1 ELISA assay (USC-SEA399MU-96, Biozol) according to the manufacturer’s instructions.
Behavioral phenotyping
Experiments were performed during light phase in the following order: Open field, prepulse inhibition, Morris water maze, SocioBox and complex wheel running (the latter 2 only in 3 × tamoxifen mice).
Open field
To evaluate exploratory activity in a novel environment, mice were placed in the center of a gray circular Perspex arena (120 cm diameter, 25 cm height of outer wall). First, time to reach the outer wall (escape latency) was measured, followed by 7 min to freely explore the open field. When exceeding 180 s to reach the outer wall, mice were placed in the periphery zone to start 7 min exploration time. Behavior of the mice was recorded via tracking software (Viewer3, Biobserve). Analyzed parameters were covered distance and the time spent in the central, intermediate and peripheral zones of the open field. Animals were tested at the age of 27 (3 × tamoxifen) and 32 (5 × tamoxifen) weeks with light intensity of 120–140 lx in the center.
Prepulse inhibition (PPI) of the startle response
This paradigm has been described previously in detail [12]. In brief, to evaluate sensorimotor gating, animals were placed in small metal cages to prevent major movements. Cages were placed in sound attenuating cabinets (TSE Systems) on a sensor-attached platform to record movement. After habituation to 65 dB white noise, loudspeakers delivered acoustic stimuli to evoke startle reflexes. Stimuli of different intensity (70, 75, 80 and 120 dB) were used in a pseudo-randomized order. The amplitudes of the startle response were averaged within the various intensities for each mouse. PPI was calculated as percentage of the startle response using following formula: %PPI = 100–[(startle response after prepulse)/(startle amplitude after pulse only) × 100]. For analysis, data from non-performing mice (negative PPI) were excluded.
Morris water maze (MWM)
This test has been described previously in detail [12, 31]. Briefly, to measure spatial learning and memory, mice were placed in a circular tank (120 cm diameter, 60 cm height) filled with opaque water at room temperature (~ 22 °C) with the escape platform (10 cm diameter) approximately 1 cm submerged. Animals’ movement was recorded by video-tracking system (Viewer3, Biobserve). After 2 days of a visual platform task in which extra maze cues were covered by the tank walls, the visual cue (flag on platform) was removed, the platform was relocated and the water height was adjusted so that extra maze cues were visible. For 8 consecutive days, mice had to reach the “hidden” platform in 4 trials per day. Afterwards, the platform was removed and mice were observed during a single “probe trial”. Analyzed parameters were escape latency to platform and covered distance. Additionally, during probe trial, the time spent in, visits and latency to the target quadrant (formerly containing platform) and covered distance were measured. If groups showed no significant differences, the platform was once again relocated for another 4 days of reversal learning, followed by another probe trial. Except for the probe trials, each day consisted of 4 test runs with a maximum of 90 s each and an intertrial interval of 5 min. In between trials, mice were placed in single cages containing paper towels and standing on a heating pad to prevent hypothermia and overexertion of the mice. In absence of a platform to reach, both probe trials consisted of a single test run of 90 s. Animals were tested at the age of 28–30 (3 × tamoxifen) and 33–35 (5 × tamoxifen) weeks with light intensity of 120–140 lx.
SocioBox
A detailed description of this test has been published before [23]. Briefly, to evaluate social recognition and memory, 3 × tamoxifen mice were tested in the SocioBox at the age of 31–32 weeks with light intensity of 10–15 lx. They were placed in a circular apparatus (34 cm inner and 56 cm outer diameter) with 5 small boxes (“inserts”) within the outer wall. For each mouse, the SocioBox experiment consisted of 3 habituation sessions on 3 consecutive days and 2 exposures and 1 recognition trial on day 4. Within each trial, for the first 5 min, mice stayed in a circular partition (19 cm diameter) to prevent immediate exploring of the SocioBox (initiation stage). After lifting of this partition, mice were allowed to freely explore the SocioBox for another 5 min (interaction stage). While the 5 inserts in the outer ring were empty during all 3 habituation trials, they contained a mouse each for interaction purposes (“stimulus mice” or “stimuli”). For both exposure trials, the same 5 stimulus mice in the same position and order were used. For the final recognition test, one stimulus mouse was replaced by a new stimulus mouse (“stranger”), unknown to the test mouse. Perforated fronts of the inserts allowed limited interaction between test mouse and stimulus mice and front walls of each insert were exchanged after each trial. Age and sex matched C3H mice were used as stimuli, based on their reported robust social interaction in test situations [33]. Mouse movement was recorded via tracking software (Viewer3, Biobserve).
Thermography
This technique and data extraction/processing have been published previously in detail [39] and were slightly modified for the present application. In short, for SocioBox experiments (performed with 3 × tamoxifen mice), an A655sc infrared thermography camera (FLIR) was mounted 110 cm above the arena, recording images at 640 × 480 pixels and framerate of 2 Hz (habituation 3, exposure 1 + 2) and 5 Hz (memory test), via ResearchIR (FLIR Systems, Oregon, USA) and connected to a computer located in a separate room. Extraction of thermal data was done using OpenCV 4 in Python 3.6. Images were loaded and normalized to values between 0 and 255, with higher values meaning higher temperatures. The SocioBox arena in which the test mouse was allowed to move was defined as the relevant ROI for extracting thermal data. To keep only thermal data from the test mouse, a binary mask for whole body (including tail) was created by applying intensity thresholding and processing steps to decrease image noise. By doing so, one large cluster of connected pixels within this ROI could be detected, constituting the contour of the mouse. Due to the shape and temperature differences, the whole-body area could then be segmented into a central body and a distinct tail area, and the mean temperature of each of those 2 areas could be extracted. Analyzed parameters were temperature changes over time of test mice, latency and duration of interaction with stimulus mice and “strangers” and visits to interaction zones. The Centralization Index (ratio body/tail temperature = T ratio) was used as continuous temperature measure [39].
Complex wheel running
To stimulate neuronal activation-induced cFos expression in the hippocampus, mice were subjected to a complex running wheel (CRW) set-up for 4 h [43]. Mice were single housed in type III cages (42 × 26 × 18 cm, Tecniplast), equipped with CRW (TSE-Systems) characterized by randomized omitted bars [26, 27]. Mice were habituated to the experimental room and CRW for 2 h prior to dark phase. After dark phase onset, voluntary running was automatically tracked for 4 h via Phenomaster software (TSE-Systems) and the total running distance per mouse calculated. Mice were perfused with Ringer and 4% formaldehyde/PBS, 30 min after removal from the CRW set-up.
Magnetic resonance imaging (MRI)
Mice (5 × tamoxifen) were anesthetized with ketamine and medetomidine (60 mg/kg and 0.4 mg/kg body weight), intubated and kept under 1.5% isoflurane by active ventilation with constant ventilation frequency of 85 breaths/min (Animal-Respirator-AdvancedTM, TSE-Systems). Inside the MR-System, mice were placed in a prone position with head fixed to a teeth and palate holder [7]. All MR measurements were performed at magnetic field strength of 9.4 T (Biospec®, Bruker BioSpin MRI, Ettlingen, Germany) comprising the following methods and acquisition parameters: High-resolution T2-weighted images (2D Rapid Acquisition with Relaxation Enhancement (RARE), TE/TR = 55/6000 ms, 8 echoes, spatial resolution 40 × 40 × 300 µm3), magnetization-transfer (MT) weighted images for volumetric analyses (3D fast low angle shot (FLASH), TE/TR = 3.4/15.2 ms, flip angle 5°, Gaussian-shaped off resonance pulse (off-resonance frequency 7.5 ppm, RF power 6µT), spatial resolution 100 µm isotropic), measurements of blood perfusion by dynamic susceptibility contrast (DSC) MRI (2D RF-spoiled radial multi-echo FLASH [32]: TE1,2,3 = 1/2.15/3.3 ms, TR = 9 ms, flip angle = 11°, spatial resolution = 150 × 150 × 900 µm3, 2 slices, 201 spokes, temporal resolution = 0.55 frames per second, 800 repetitions) and intra-voxel incoherent motion (IVIM) MRI (Stejskal-Tanner pulsed gradient spin-echo sequence, TE/TR = 19/2000 ms, 4 segments, δ = 2.5 ms, Δ = 10 ms, 19 b-values (10, 20, 30, 40, 50, 60, 70, 80, 110, 140, 170, 200, 300, 400, 500, 600, 700, 800, 900 s/mm2) applied in 3 orthogonal directions, spatial resolution 150 × 150 × 400 µm3).
MRI data analyses
Volumetry
MT-weighted images were first converted to NIfTI and preprocessed through denoising and bias field correction [3] in order to create an unbiased anatomical population template using the python pipeline twolevel_ants_dbm (https://github.com/CoBrALab/). Nonlinear deformation fields of the extracted brains were then used to estimate voxel-wise Jacobian determinants. Student’s t-test was performed on the 3D Gaussian-smoothed maps of Jacobian determinants (FWHM 0.1 mm) for voxel-vise comparison of DTA and control mice. Q-values (false discovery rate (FDR) adjusted p-values) and the respective z-scores were calculated using the 3dFDR function of AFNI [9]. To visualize significant volume reductions in DTA mice z-scores smaller − 2.57 corresponding to a FDR of less than 1% were overlaid on the study template. In order to quantify the volume of selected brain regions, regions of interest (ROIs) including third and lateral ventricles, cerebrum (without hippocampus, ventricles and olfactory bulb), hippocampus, and cerebellum were determined on the study template by manual segmentation using the software package AMIRA (Visage Imaging GmbH, Berlin, Germany). ROIs were then retransformed into the subject space, individually inspected, and, if required, manually corrected. Finally, the respective volume information was extracted.
IVIM
Diffusion weighted images were co-registered (translation only, imregister function, Matlab 2018b, Natock, MA) and the geometrical mean of the diffusion directions, the apparent diffusion coefficient (ADC) was calculated considering only those images obtained with b-values greater than 200 s/mm2. The ADC was then used to estimate the perfusion fraction (f) and the pseudo-diffusion coefficient (D*) by utilizing all acquired b-value-images [13].
DSC-MRI
Maps of R2*-relaxation rate (1/T2*) were estimated assuming a mono-exponential TE-dependent signal decay. A gamma variate function was fitted to the R2*-time curve of the contrast agent bolus-injection in order to estimate the cerebral blood volume (CBV) and the mean transit time (MTT) from which the cerebral blood flow (CBF) was calculated (CBF = CBV/MTT).
Measurements assessing blood–brain-barrier integrity
Blood–brain barrier (BBB) integrity along with brain water content and dry brain mass was evaluated as previously described [5, 34]. Briefly, mice received intravenous injections of Evans blue (50 µg/g body weight, E2129, Sigma-Aldrich) and sodium fluorescein (200 µg/g body weight, F6377, Sigma-Aldrich). After 4 h, mice were anesthetized and transcardially perfused. Brains were collected, frozen on dry ice, weighted and lyophilized. After lyophilization, dehydrated brains were weighted to obtain dry brain mass and to calculate brain water content. Afterwards, tracers were extracted from hemispheres with formamide and quantified in triplicates on a fluorescent microscope (Observer Z2, Zeiss). The concentrations of tracers were calculated using a standard curve and normalized to controls.
Blood flow cytometry
EDTA-blood was collected from the orbital sinus 2 weeks after last tamoxifen injection. Per mouse, 50µL blood were diluted in 50µL PBS and overlaid on 100µL lymphocyte separation medium (1077, PromoCell). After centrifugation, peripheral blood mononuclear cells were isolated, washed and stained for 15 min at 4 °C with the following antibodies: PECy5 anti-CD4 (1:1000, clone H129.19, Biolegend), PECy7 anti-CD8 (1:500, clone 53–6.7, Biolegend), BV510 anti-B220 (1:500, clone RA3-6B2, Biolegend) and PerCpCy5.5 anti-CD11b (1:100, clone M1/70, Biolegend). After staining, cells were washed, suspended in 200µL PBS containing 2% bovine serum albumin (#8076.3, Roth), and filtered through 40 µm cell strainers. Samples were measured on a FACSAria Sorp (BD). Number of lymphocytes were determined using forward and side scatter. Frequency of T-helper cells (CD4+,CD8−), cytotoxic T-cells (CD8+, CD4−), B cells (B220+, CD11b−, CD8−, CD4−), and myeloid cells (CD11b+, B220−, CD8−, CD4−) were determined as percentage of total lymphocytes.
Brain flow cytometry
Mice (3 × tamoxifen) were anesthetized with Avertin (1.36% 2,2,2,-tribromoethanol in ddH2O; 24µL/g body weight) and transcardially perfused with 40 mL Ringer solution (B.Braun). Brains were stored on ice in 10% fetal bovine serum (FBS, #10500–064 Thermo)/DMEM (#41965 Thermo) until all brains were collected. Olfactory bulbs and brain stems were removed and brains mashed through 70 µm cell strainers. To remove myelin, cells were suspended in isotonic Percoll (17-0891-01, GE Healthcare) to a final concentration of 30% and centrifuged. Cells were washed with FACS buffer (2% FBS, 10 mM EDTA in PBS) and filtered through 40 µm cell strainers. Fc-receptors were blocked for 10 min at 4 °C with anti-mouse CD16/32 antibodies (1:100, 14–0161, eBioscience). Cells were stained for 30 min at 4 °C with the following antibody mix: APC anti-CD45 (1:200, clone 104, BioLegend), PE anti-CD11b (1:200, clone M1/70, BioLegend), PECy5 anti-CD4 (1:1000, clone H129.19, BioLegend), PECy7 anti-CD8 (1:500, clone 53–6.7, Biolegend), APCCy7 anti-CD19 (1:200, clone 6D5, BioLegend), PerCP-Cy5.5 anti-CD138 (1:200, clone 281–2, BioLegend). After staining, cells were washed and suspended in 400µL FACS buffer. Per sample, 100µL APC quantification beads (#340487, BD) were added. Samples were measured on a FACSAria Sorp (BD). Cell numbers were corrected for the number of recorded APC beads. Leukocytes (CD45high, CD11b−), microglia (CD45low, CD11bhigh) and macrophages (CD45high, CD11bhigh) were quantified within single cell gate determined by forward and side scatter. CD4+ T-cells and CD8+ T-cells were quantified within leukocyte gate. CD19+ B-cells and CD138+ plasma cells were quantified in CD4− CD8− leukocyte gate.
Histology
Mice were anesthetized with Avertin, transcardially perfused with Ringer (B.Braun) and subsequently 4% formaldehyde/PBS. Brains were collected, post-fixed in 4% formaldehyde/PBS for 12 h, dehydrated in 30% sucrose/PBS for 48 h, embedded in optimal cutting medium (Tissue-Tek, #4583, Sakura) and frozen on dry ice. Frozen brains were cut into 30 µm coronal sections on a cryostat (CM1950, Leica) and stored at −20 °C in anti-freeze medium (25% ethylene glycol/25% glycerol/PBS). Quantifications were performed using 4–6 hippocampi from 2–3 sections per mouse. Sections were selected in regularly spaced intervals (every 300 µm) between Bregma coordinates −1.34 to −2.24 mm. Free-floating frozen sections were blocked and permeabilized for 1 h at RT with 5% normal horse serum (NHS, 26,050–088, Thermo) in 0.5% Triton X-100/PBS, incubated overnight at 4 °C with primary antibodies and subsequently stained with corresponding fluorescently-labeled secondary antibodies for 2 h at RT. Nuclei were stained for 10 min at RT with 0.2 µg/mL 4′,6-diamidino-2-phenylindole in PBS (DAPI, D9542, Sigma-Aldrich) and sections were mounted on SuperFrost®-Plus slides (J1800AMNZ, Thermo) with Aqua-Poly/Mount (#18606, Polysciences). The following primary antibodies were used: Mouse anti-GFAP (1:500, NCL-GFAP-GA5, NovoCastra), rabbit anti-Iba1 (1:1000, #019–19741, Wako), rabbit anti-cFos (1:1000, #226003, Synaptic Systems), guinea pig anti-parvalbumin (1:1000, #195004, Synaptic Systems). Corresponding secondary antibodies included: Alexa Fluor 555 anti-rabbit (1:1000, A21428, Thermo), Alexa Fluor 647 anti-mouse (1:1000, A31571, Thermo) Alexa Fluor 633 anti-guinea pig (1:1000, A21105, Thermo). For Fluorojade C staining (AG325, Sigma) of dying neurons, sections were incubated in 0.06% potassium permanganate solution for 10 min. Following a 1 min water rinse, tissue was transferred for 10 min to a 0.0001% solution of Fluorojade C, dissolved in 0.1% acetic acid. Slides were rinsed with ddH2O and dried at 60 °C. Overview images of whole brain sections were obtained on Eclipse-TI 2 epifluorescence microscope (Nikon), equipped with 4 × objective (4x/0.2 NA PLAN APO #MRD00045, Nikon). For quantification of Iba1+ cells and GFAP+ area fraction by densitometry, 1 µm thick optical sections of hippocampi were acquired as tile scans on a confocal laser scanning microscope (LSM 880, Zeiss), furnished with a 40 × oil objective (40x/1.4 NA Plan-APOCHROMAT, #420762–9900, Zeiss). For quantification of parvalbumin+ and cFos+ neurons, 2 µm thick optical sections of hippocampi were acquired as tile scans using the same microscope, equipped with a 20 × air objective (20x/0.8 Plan-APOCHROMAT, #420640–9903 Zeiss). Image acquisition parameters were kept constant within experiments. Quantifications and image processing were performed with FIJI-ImageJ software (Schindelin et al., 2012). Iba1+ cells (mostly microglia), parvalbumin+ cells (inhibitory neurons) and cFos+ neurons were manually counted. GFAP+ area fraction (GFAP+ area/total area of region of interest) was quantified densitometrically upon uniform thresholding and fold change to control animals was calculated. Atrophy in regions of interest (CA1, CA3, dentate gyrus) was determined through manual segmentation. Resulting areas were normalized to the respective average of control animals. CA2/CA3 region is referred to as CA3 in text and figures. Cell counts were normalized to quantified areas. Data obtained from 4 to 6 hippocampi/mouse was averaged for analysis.
Statistical analysis
Statistical analyses were performed using Prism9 software (GraphPad Software). Results are presented as mean ± standard deviations (SD), unless otherwise stated. Normal distribution of data was assessed using the Shapiro–Wilk test with an alpha error of 0.05. Dependent on data distribution, 2-tailed unpaired Welch’s corrected t-tests or Mann–Whitney U-tests were used to compare groups. Repeated measure data was analyzed using mixed-model ANOVA. P values < 0.05 were considered statistically significant.
Results and discussion
Sudden pyramidal neuronal loss by induced diphtheria toxin expression for sterile modeling of viral-like gray matter encephalitis
To comprehensively study distinct features of moderate brain inflammation that affects primarily gray matter, we targeted pyramidal neurons. By inducible diphtheria toxin expression in these cells, we generated a sterile, spatially and temporally defined, moderate experimental encephalitis in 6–8 months old male NexCreERT2xRosa26-eGFP-DTA (= ‘DTA’) mice [1, 8, 19]. Tamoxifen dosing in this mouse line controls the amount of cell death. After a series of dose-titrating pilot experiments, we here selected a 3-day (3x) versus 5-day (5x) tamoxifen injection design (Fig. 1a, b). Acute hippocampus overview images, taken from trial mice at 1 week after 5 × tamoxifen induction, demonstrate by fluorojade staining the acute neurodegeneration/pyramidal neuronal loss (Fig. 1c). Using the 3 × versus 5 × tamoxifen design, we performed a longitudinal ~ 60 day analysis of these mice, which included behavioral experiments to target hippocampal and (pre)frontal cortex functions, with both established (MWM, PPI) and novel (SocioBox, thermography) paradigms, several sophisticated MRI readouts, BBB testing, flow cytometry analyses of brain and blood, plasma HMGB1 measurements as circulating inflammation marker, as well as histological quantifications, including a neuronal functionality readout (immediate early gene cFos induction after brief complex wheel running). In order to reduce the necessary number of animals (RRR principle), not all experiments were performed in mice of both induction schedules (Fig. 1d).
Behavioral testing reveals manifold disturbance of brain functions in DTA mice
After destruction of substantial numbers of pyramidal neurons, hippocampal learning and memory, determined by the classical MWM, was highly significantly affected in encephalitis mice of both induction schemes (Fig. 1e-f and Tables 1,2). In the 5 ×, but not the 3 × tamoxifen group, the open field performance reflected behavioral pathology with reduced overall mobility and dampened natural drive to prefer the periphery (Fig. 1g; Tables 1,2). Both escape latency and enhanced time spent in the middle zone may additionally be related to the slower motion/reduced total distance. The PPI data in 5 × mice demonstrated also (pre)frontal network dysfunction (Fig. 1h; Table 2).
On top of these expected behavioral changes, we addressed novel readouts of social behavior, suspected to reflect CA2/CA3 destruction in our model, and known to play a role in human viral encephalitis [4, 35]. We tested in the 3 × tamoxifen mice social recognition memory, employing our recently developed SocioBox, and combined it with thermography (Fig. 2a-b; Table 1). The SocioBox test is superior to other presently available social recognition tests, successfully addressing multiple social contacts in parallel [23, 39]. We noted overall hyperactivity in the SocioBox memory test displayed by DTA mice, from total distance traveled to social interactions, including increased total interaction time and visits to the interaction zone, combined with a trend of shorter initial latency to interaction zone and time/visit (Fig. 2c). Surprisingly at first view, the latency to meet the stranger was reduced in DTA mice (Fig. 2d). The following readouts, however, clarified that this reduced latency was by no means a signal of better social memory. Comparing the behavior towards acquainted conspecifics (stimuli) versus the stranger confirmed that DTA mice were not able to distinguish between them, whereas control mice discriminated well (Fig. 2e), explicitly indicating social cognition deficits of encephalitis mice. For better comprehension of this novel test paradigm, we provide supplementary videos, showing a healthy control mouse. The video on the left illustrates the centralization index. The video on the right demonstrates the SocioBox with the test mouse in the middle, surrounded by 5 stimulus mice. The stranger mouse is encircled. Note the experimentator’s arm in the middle of the video when partition lifting takes place.
Thermography as convenient measure of autonomic dysfunction in DTA mice
We had reported previously that the SocioBox test with its forced and inescapable social interaction delivers substantial stress to healthy mice, even leading to the development of social avoidance, and thus constitutes a terminal test in behavioral batteries [39]. The distinct thermographic changes in this situation, resulting from stress-related blood flow alterations via reactive vasoconstriction and vasodilation, respectively, suggested the concomitant screening of body/tail temperature during SocioBox performance in our model. Interestingly, upon CNS inflammation, both on experimental autoimmune encephalitis in rats and human limbic encephalitis, evidence of thermoregulatory and autonomic dysfunction has been reported [2, 46].
In our thermography approach, the Centralization Index (ratio body/tail temperature = T ratio; see supplementary video) serves as whole body stress readout and convenient measure of potential autonomic dysfunction. Indeed, encephalitis mice (3 × tamoxifen) showed altered thermo-responses as compared to controls. Whereas during habituation 3, no appreciable dissociation in the thermo-curves appeared yet, DTA mice revealed higher centralization values in exposure 1 before partition lifting, perhaps pointing to an initially higher ‘non-specific’ agitation/stress. In both exposure 2 and memory test, the DTA mice thermo-responded in an overall blunted fashion compared to controls. In fact, a highly interesting thermo-pattern was observed in healthy mice that showed from exposure 1 over 2 to memory test a strong thermo-response, likely reflecting rising anticipation of partition lifting (Fig. 2f–j). The complete lack of this amazingly robust and fast experience-induced thermo-response in the sense of an ‘autonomically expressed short-term memory’, uncovered altered vasoactivity in peripheral and core body regions as indication of autonomic dysfunction and/or compromised short-term memory in DTA mice.
Brain dimensions and structural changes of DTA mice in high-resolution MRI
DTA mice (5 × tamoxifen) displayed a significant shrinkage of the hippocampal area shown by in vivo high-resolution T2-weighted MRI. Dentate gyrus and CA region exhibited a clear rarefaction, rendering these regions almost undetectable (Fig. 3a, top axial view, bottom transversal view). Volumetrical analysis of MT-weighted MRI demonstrated highly significant reductions in essentially all brain areas, including olfactory bulb, cerebrum, hippocampus and cerebellum (Fig. 3b). Maps of z-score derived from the comparison of Jacobian determinants and overlaid on the study template revealed significantly lower volume of the cortex (in particular in the region of layer V), the hippocampus and its projection areas in DTA mice compared to controls. A z-score lower than −2.57 corresponds to a false discovery rate of lower than 1% (Fig. 3c).
DTA mice had a higher vascular volume in the hippocampus as shown independently by both IVIM-MRI (vascular volume fraction) and DSC-MRI (cerebral blood volume). In addition, the vascular volume fraction was increased in the cortex of DTA mice. This phenomenon is highly interesting and will require deeper mechanistic search via experimental approaches in the future, as any clear insight from the literature [24] or from the present data is still lacking. Importantly, cerebral blood flow (DSC-MRI) was increased in all analyzed brain regions (Fig. 3d–f). Taking these findings together, we suggest a working model where the enhanced vascular volume, in parallel to neural tissue loss in this sterile encephalitis, reflects a ‘relative’ increase in vascular density rather than simple vessel dilatation. This would also reconcile with the observed increase in cerebral blood flow.
The apparent diffusion coefficient (ADC) was augmented in cortex and hippocampus but not thalamus of DTA mice, indicating higher water content in brain regions directly affected by the toxin (Fig. 3g). This finding was independently verified in the BBB integrity assay [5, 34], showing increased water content and reduced brain mass. At the same time, this assay yielded distinct tracer extravasation, both of Evans blue and fluorescein, proving BBB leakage (Fig. 3h).
Lasting neuroinflammation following pyramidal neuronal death in DTA mice
Histological analysis demonstrated lasting prominent micro- and astrogliosis in hippocampus and cortex of DTA mice, more pronounced after 5 × compared to 3 × tamoxifen (Fig. 4a). Quantifications validated again a clear reduction in the areas of whole hippocampus as well as of CA1 and CA3 subfields. The dentate gyrus was less noticeably affected (Fig. 4b). Similarly, the highest density of GFAP+ area and strongest increases in Iba1+ cell numbers were seen in total hippocampus, CA1 and CA3, but less in dentate gyrus (Fig. 4 c-d).
The prolonged neuroinflammatory response upon DTA-induced neuronal death is consistent with a mouse model, in which DTA expression was coupled to regulatory elements of Camk2α in a tetracyclin-responsive fashion [49], although kinetics of DTA induction, severity and regional selectivity expectedly differ between the 2 models. Interestingly, in this earlier mouse model, some of the neuroinflammatory responses, including reactive microglia, have been dampened upon microglia depletion and repopulation via CSF1R inhibitor treatment and withdrawal [38], demonstrating the importance of such animal models for developing translationally relevant treatment strategies.
To evaluate neuronal activation and interneuron density after selective ablation of pyramidal neurons in DTA mice, cFos expression and parvalbumin+ interneuron numbers were assessed. In fact, the toxin is tamoxifen-inducibly expressed by glutamatergic pyramidal neurons, which are preferentially destroyed. In contrast to the disease Diphtheria, however, only the catalytically active fragment A is expressed in our genetic model, while fragment B was purposely omitted to prevent receptor-mediated entry to neighboring cells [1, 8, 19]. Hence, cFos activity in inhibitory neurons should not have been directly affected by the toxin.
Indeed, determination of cFos expression after brief complex wheel running as neuronal activity readout confirmed the expected decrease of immediate early gene expression in whole hippocampus, CA1 and CA3 of DTA mice, due to the ablation of pyramidal neurons. In contrast, cFos+ cells in dentate gyrus did not differ from controls, again underlining the widely intact situation of this region (Fig. 5a–c). We note that both DTA and control mice performed comparably in this short-term CRW exposure (running distance: 659 ± 238 m versus 946 ± 523 m, respectively, p = 0.1893). The number of parvalbumin+ interneurons normalized to the respective hippocampal area showed highly significant ‘relative’ increases, consistent with circuit adjustments in the sense of altered inhibition. The cFos+ interneurons among them, however, tended to be decreased in whole hippocampus and CA subfields, pointing perhaps to mildly compromised cellular activatability. Again, the dentate gyrus was spared in DTA mice and appeared comparable to controls (Fig. 5d, e).
Flow cytometry shows clear alterations in the brain immune compartment following pyramidal neuronal death in absence of measurable effects in blood
Brain flow cytometry after 2 months of DTA induction (3 × tamoxifen) confirmed not only the histologically quantified microgliosis but also revealed persistent increases in T cells, in particular CD8+ cytotoxic T cells, shown very recently to drive axon degeneration in the normal aging mouse CNS and contribute to age-related cognitive and motor decline [16]. B cell numbers were low and like macrophages unaltered (Fig. 6a).
In contrast, blood flow cytometry at 2 weeks after DTA induction (in 3 × and 5 × tamoxifen mice) and upon considerable acute brain inflammation did not show any immune cell alterations in the periphery (Fig. 6b). This complete lack of peripheral changes reflects in our mouse model the enormous and well-known clinical problems of diagnosing even substantial brain inflammation in vivo, often leading to wrong assumptions regarding suddenly occuring behavioral abnormalities in neuropsychiatric practice.
In an approach to identify a possible peripheral diagnostic marker, we came across an alarmin, namely high-mobility group box 1 (HMGB1), a key molecule of host defense systems that can be released under acute and chronic pathological conditions. HMGB1 is a non-histone nuclear protein with dual functions depending on localization. Within cells, it is confined primarily to the nucleus where it binds DNA and plays a role in transcriptional regulation. However, extracellular HMGB1 serves as proinflammatory cytokine. Elevated HMGB1 levels in serum and CSF have been reported in neurological infection, indicating that excessive host inflammation may be relevant to the pathogenesis of encephalitis. Beyond infections, HMGB1 has pathogenic roles during trauma and sterile inflammation, such as systemic inflammatory response syndrome [14, 15, 30, 36, 44]. Thus, we followed HMGB1 plasma levels at 14 days and 2 months after DTA induction in both 3 × and 5 × tamoxifen mice. Surprisingly, there were no differences between groups at any time point or induction scheme (Fig. 6c).
Again, it is fascinating, but certainly also alarming for clinicians, that extensive inflammatory degeneration in the brain, including BBB breakdown, can occur without indication in the blood. Since this clear result is of major relevance also for human neurodegenerative disease, it will hopefully stimulate the development of even more sophisticated brain imaging paradigms, sensitive enough for in vivo diagnosis of ongoing brain inflammation.
Modeling aspects of viral gray matter encephalitis by sterile pyramidal neuronal death: Synopsis and outlook
With the present longitudinal study, we aimed at defining downstream consequences of sudden pyramidal neuronal loss as it characterizes many viral infections, including reactive neuroinflammatory and subsequent neurodegenerative processes. Employing DTA mice, we present an animal model that allows sterile and targeted induction of cell death, thereby excluding the numerous parallel cellular and molecular events that characterize infections from the beginning and make delineation of causes and consequences often impossible. We provide not only the predictable histological evidence of a dose-dependent mild to moderate encephalitis together with the expected behavioral consequences of hippocampal and (pre)frontal damage. We also deliver clearcut and easily quantifiable novel results on disturbed social cognition with pathological thermoreaction/autonomic dysfunction as well as multifaceted sophisticated MRI readouts as future endpoints of targeted therapeutic approaches.
Availability of data and materials
All data are available upon request.
References
Agarwal A, Dibaj P, Kassmann CM, Goebbels S, Nave KA, Schwab MH (2012) In vivo imaging and noninvasive ablation of pyramidal neurons in adult NEX-CreERT2 mice. Cereb Cortex 22:1473–1486. https://doi.org/10.1093/cercor/bhr214
Asahina M, Fujinuma Y, Yamanaka Y, Fukushima T, Katagiri A, Ito S, Kuwabara S (2011) Diminished emotional sweating in patients with limbic encephalitis. J Neurol Sci 306:16–19. https://doi.org/10.1016/j.jns.2011.04.007
Avants BB, Tustison NJ, Song G, Cook PA, Klein A, Gee JC (2011) A reproducible evaluation of ANTs similarity metric performance in brain image registration. Neuroimage 54:2033–2044. https://doi.org/10.1016/j.neuroimage.2010.09.025
Belaunzaran-Zamudio PF, Ortega-Villa AM, Mimenza-Alvarado AJ, Guerra-De-Blas PDC, Aguilar-Navarro SG, Sepulveda-Delgado J, Hunsberger S, Salgado RV, Ramos-Castaneda J, Rincon Leon HA et al (2021) Comparison of the impact of Zika and Dengue virus infection, and other acute illnesses of unidentified origin on cognitive functions in a prospective cohort in chiapas Mexico. Front Neurol 12:631801. https://doi.org/10.3389/fneur.2021.631801
Berghoff SA, Gerndt N, Winchenbach J, Stumpf SK, Hosang L, Odoardi F, Ruhwedel T, Bohler C, Barrette B, Stassart R et al (2017) Dietary cholesterol promotes repair of demyelinated lesions in the adult brain. Nat Commun 8:14241. https://doi.org/10.1038/ncomms14241
Boldrini M, Canoll PD, Klein RS (2021) How COVID-19 Affects the Brain. JAMA Psychiat. https://doi.org/10.1001/jamapsychiatry.2021.0500
Boretius S, Kasper L, Tammer R, Michaelis T, Frahm J (2009) MRI of cellular layers in mouse brain in vivo. Neuroimage 47:1252–1260. https://doi.org/10.1016/j.neuroimage.2009.05.095
Brockschnieder D, Lappe-Siefke C, Goebbels S, Boesl MR, Nave KA, Riethmacher D (2004) Cell depletion due to diphtheria toxin fragment A after Cre-mediated recombination. Mol Cell Biol 24:7636–7642. https://doi.org/10.1128/MCB.24.17.7636-7642.2004
Cox RW, Hyde JS (1997) Software tools for analysis and visualization of fMRI data. NMR Biomed 10:171–178. https://doi.org/10.1002/(sici)1099-1492(199706/08)10:4/5%3c171::aid-nbm453%3e3.0.co;2-l
Crews L, Patrick C, Achim CL, Everall IP, Masliah E (2009) Molecular pathology of neuro-AIDS (CNS-HIV). Int J Mol Sci 10:1045–1063. https://doi.org/10.3390/ijms10031045
Deng X, Shi Z, Li S, Wang X, Qiu Y, Shao D, Wei J, Tong G, Ma Z (2011) Characterization of nonstructural protein 3 of a neurovirulent Japanese encephalitis virus strain isolated from a pig. Virol J 8:209. https://doi.org/10.1186/1743-422X-8-209
Dere E, Dahm L, Lu D, Hammerschmidt K, Ju A, Tantra M, Kastner A, Chowdhury K, Ehrenreich H (2014) Heterozygous ambra1 deficiency in mice: a genetic trait with autism-like behavior restricted to the female gender. Front Behav Neurosci 8:181. https://doi.org/10.3389/fnbeh.2014.00181
Federau C, O’Brien K, Meuli R, Hagmann P, Maeder P (2014) Measuring brain perfusion with intravoxel incoherent motion (IVIM): initial clinical experience. J Magn Reson Imaging 39:624–632. https://doi.org/10.1002/jmri.24195
Festoff BW, Sajja RK, van Dreden P, Cucullo L (2016) HMGB1 and thrombin mediate the blood-brain barrier dysfunction acting as biomarkers of neuroinflammation and progression to neurodegeneration in Alzheimer’s disease. J Neuroinflammation 13:194. https://doi.org/10.1186/s12974-016-0670-z
Fonken LK, Frank MG, Kitt MM, D’Angelo HM, Norden DM, Weber MD, Barrientos RM, Godbout JP, Watkins LR, Maier SF (2016) The Alarmin HMGB1 mediates age-induced neuroinflammatory priming. J Neurosci 36:7946–7956. https://doi.org/10.1523/JNEUROSCI.1161-16.2016
Groh J, Knöpper K, Arampatzi P, Yuan X, Lößlein L, Saliba A-E, Kastenmüller W, Martini R (2021) Accumulation of cytotoxic T cells in the aged CNS leads to axon degeneration and contributes to cognitive and motor decline. Nature Aging 1:357–367. https://doi.org/10.1038/s43587-021-00049-z
Hagemeyer N, Goebbels S, Papiol S, Kastner A, Hofer S, Begemann M, Gerwig UC, Boretius S, Wieser GL, Ronnenberg A et al (2012) A myelin gene causative of a catatonia-depression syndrome upon aging. EMBO Mol Med 4:528–539. https://doi.org/10.1002/emmm.201200230
Huo L, Xu KL, Wang H (2021) Clinical features of SARS-CoV-2-associated encephalitis and meningitis amid COVID-19 pandemic. World J Clin Cases 9:1058–1078. https://doi.org/10.12998/wjcc.v9.i5.1058
Ivanova A, Signore M, Caro N, Greene ND, Copp AJ, Martinez-Barbera JP (2005) In vivo genetic ablation by Cre-mediated expression of diphtheria toxin fragment A. Genesis 43:129–135. https://doi.org/10.1002/gene.20162
Janova H, Arinrad S, Balmuth E, Mitjans M, Hertel J, Habes M, Bittner RA, Pan H, Goebbels S, Begemann M et al (2018) Microglia ablation alleviates myelin-associated catatonic signs in mice. J Clin Invest 128:734–745. https://doi.org/10.1172/JCI97032
Kaliyaperumal S, Dang X, Wuethrich C, Knight HL, Pearson C, MacKey J, Mansfield KG, Koralnik IJ, Westmoreland SV (2013) Frequent infection of neurons by SV40 virus in SIV-infected macaque monkeys with progressive multifocal leukoencephalopathy and meningoencephalitis. Am J Pathol 183:1910–1917. https://doi.org/10.1016/j.ajpath.2013.08.007
Kenfak A, Eperon G, Schibler M, Lamoth F, Vargas MI, Stahl JP (2019) Diagnostic approach to encephalitis and meningoencephalitis in adult returning travellers. Clin Microbiol Infect 25:415–421. https://doi.org/10.1016/j.cmi.2019.01.008
Krueger-Burg D, Winkler D, Mitkovski M, Daher F, Ronnenberg A, Schluter OM, Dere E, Ehrenreich H (2016) The SocioBox: a novel paradigm to assess complex social recognition in male mice. Front Behav Neurosci 10:151. https://doi.org/10.3389/fnbeh.2016.00151
Lapointe E, Li DKB, Traboulsee AL, Rauscher A (2018) What have we learned from perfusion MRI in multiple sclerosis? Am J Neuroradiol 39:994–1000
LaRovere KL, Riggs BJ, Poussaint TY, Young CC, Newhams MM, Maamari M, Walker TC, Singh AR, Dapul H, Hobbs CV et al (2021) Neurologic involvement in children and adolescents hospitalized in the United States for COVID-19 or multisystem inflammatory syndrome. JAMA Neurol. https://doi.org/10.1001/jamaneurol.2021.0504
Liebetanz D, Baier PC, Paulus W, Meuer K, Bahr M, Weishaupt JH (2007) A highly sensitive automated complex running wheel test to detect latent motor deficits in the mouse MPTP model of Parkinson’s disease. Exp Neurol 205:207–213. https://doi.org/10.1016/j.expneurol.2007.01.030
McKenzie IA, Ohayon D, Li H, de Faria JP, Emery B, Tohyama K, Richardson WD (2014) Motor skill learning requires active central myelination. Science 346:318–322. https://doi.org/10.1126/science.1254960
Meinhardt J, Radke J, Dittmayer C, Franz J, Thomas C, Mothes R, Laue M, Schneider J, Brunink S, Greuel S et al (2021) Olfactory transmucosal SARS-CoV-2 invasion as a port of central nervous system entry in individuals with COVID-19. Nat Neurosci 24:168–175. https://doi.org/10.1038/s41593-020-00758-5
Messacar K, Fischer M, Dominguez SR, Tyler KL, Abzug MJ (2018) Encephalitis in US Children. Infect Dis Clin North Am 32:145–162. https://doi.org/10.1016/j.idc.2017.10.007
Moniuszko-Malinowska A, Penza P, Czupryna P, Zajkowska O, Pancewicz S, Swierzbinska R, Dunaj J, Zajkowska J (2018) Assessment of HMGB-1 concentration in tick-borne encephalitis and neuroborreliosis. Int J Infect Dis 70:131–136. https://doi.org/10.1016/j.ijid.2018.03.013
Morris RGM (1981) Spatial localization does not require the presence of local cues. Learn Motiv 12:239–260. https://doi.org/10.1016/0023-9690(81)90020-5
Moussavi A, Boretius S (2019) Imperfect magnetic field gradients in radial k-space encoding-Quantification, correction, and parameter dependency. Magn Reson Med 81:962–975. https://doi.org/10.1002/mrm.27449
Moy SS, Nadler JJ, Young NB, Perez A, Holloway LP, Barbaro RP, Barbaro JR, Wilson LM, Threadgill DW, Lauder JM et al (2007) Mouse behavioral tasks relevant to autism: phenotypes of 10 inbred strains. Behav Brain Res 176:4–20. https://doi.org/10.1016/j.bbr.2006.07.030
Pan H, Oliveira B, Saher G, Dere E, Tapken D, Mitjans M, Seidel J, Wesolowski J, Wakhloo D, Klein-Schmidt C et al (2019) Uncoupling the widespread occurrence of anti-NMDAR1 autoantibodies from neuropsychiatric disease in a novel autoimmune model. Mol Psychiatry 24:1489–1501. https://doi.org/10.1038/s41380-017-0011-3
Pang CC, Kiecker C, O’Brien JT, Noble W, Chang RC (2019) Ammon’s Horn 2 (CA2) of the hippocampus: a long-known region with a new potential role in neurodegeneration. Neuroscientist 25:167–180. https://doi.org/10.1177/1073858418778747
Paudel YN, Angelopoulou E, C BK, Piperi C, Othman I, (2019) High mobility group box 1 (HMGB1) protein in Multiple Sclerosis (MS): Mechanisms and therapeutic potential. Life Sci 238:116924. https://doi.org/10.1016/j.lfs.2019.116924
Poggi G, Boretius S, Mobius W, Moschny N, Baudewig J, Ruhwedel T, Hassouna I, Wieser GL, Werner HB, Goebbels S et al (2016) Cortical network dysfunction caused by a subtle defect of myelination. Glia 64:2025–2040. https://doi.org/10.1002/glia.23039
Rice RA, Pham J, Lee RJ, Najafi AR, West BL, Green KN (2017) Microglial repopulation resolves inflammation and promotes brain recovery after injury. Glia 65:931–944. https://doi.org/10.1002/glia.23135
Seidel J, Bockhop F, Mitkovski M, Martin S, Ronnenberg A, Krueger-Burg D, Schneider K, Rohse H, Wustefeld L, Cosi F et al (2020) Vascular response to social cognitive performance measured by infrared thermography: a translational study from mouse to man. FASEB Bioadv 2:18–32. https://doi.org/10.1096/fba.2019-00085
Sejvar JJ, Kohl KS, Bilynsky R, Blumberg D, Cvetkovich T, Galama J, Gidudu J, Katikaneni L, Khuri-Bulos N, Oleske J et al (2007) Encephalitis, myelitis, and acute disseminated encephalomyelitis (ADEM): case definitions and guidelines for collection, analysis, and presentation of immunization safety data. Vaccine 25:5771–5792. https://doi.org/10.1016/j.vaccine.2007.04.060
Smeal RM, Stewart KA, Iacob E, Fujinami RS, White HS, Wilcox KS (2012) The activity within the CA3 excitatory network during Theiler’s virus encephalitis is distinct from that observed during chronic epilepsy. J Neurovirol 18:30–44. https://doi.org/10.1007/s13365-012-0082-5
Venkatesan A, Tunkel AR, Bloch KC, Lauring AS, Sejvar J, Bitnun A, Stahl JP, Mailles A, Drebot M, Rupprecht CE et al (2013) Case definitions, diagnostic algorithms, and priorities in encephalitis: consensus statement of the international encephalitis consortium. Clin Infect Dis 57:1114–1128. https://doi.org/10.1093/cid/cit458
Wakhloo D, Scharkowski F, Curto Y, Javed Butt U, Bansal V, Steixner-Kumar AA, Wustefeld L, Rajput A, Arinrad S, Zillmann MR et al (2020) Functional hypoxia drives neuroplasticity and neurogenesis via brain erythropoietin. Nat Commun 11:1313. https://doi.org/10.1038/s41467-020-15041-1
Walker LE, Griffiths MJ, McGill F, Lewthwaite P, Sills GJ, Jorgensen A, Antoine DJ, Solomon T, Marson AG, Pirmohamed M (2017) A comparison of HMGB1 concentrations between cerebrospinal fluid and blood in patients with neurological disease. Biomarkers 22:635–642. https://doi.org/10.1080/1354750X.2016.1265003
Wickstrom R, Fowler A, Bogdanovic G, Bennet R, Eriksson M (2017) Review of the aetiology, diagnostics and outcomes of childhood encephalitis from 1970 to 2009. Acta Paediatr 106:463–469. https://doi.org/10.1111/apa.13682
Wrotek S, Nowakowska A, Caputa M, Kozak W (2020) Unbalanced thermoregulation in experimental autoimmune encephalitis induced in Lewis rats. J Therm Biol 89:102529. https://doi.org/10.1016/j.jtherbio.2020.102529
Wuthrich C, Dang X, Westmoreland S, McKay J, Maheshwari A, Anderson MP, Ropper AH, Viscidi RP, Koralnik IJ (2009) Fulminant JC virus encephalopathy with productive infection of cortical pyramidal neurons. Ann Neurol 65:742–748. https://doi.org/10.1002/ana.21619
Wuthrich C, Koralnik IJ (2012) Frequent infection of cortical neurons by JC virus in patients with progressive multifocal leukoencephalopathy. J Neuropathol Exp Neurol 71:54–65. https://doi.org/10.1097/NEN.0b013e31823ede59
Yamasaki TR, Blurton-Jones M, Morrissette DA, Kitazawa M, Oddo S, LaFerla FM (2007) Neural stem cells improve memory in an inducible mouse model of neuronal loss. J Neurosci 27:11925. https://doi.org/10.1523/JNEUROSCI.1627-07.2007
Acknowledgements
This study was supported by the Max Planck Society, the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) TRR 274/1 2020—408885537. KAN is funded by Adelson Medical Research Foundation and an ERC Advanced Grant.
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Concept, design and supervision of the study: HE and SB. Data acquisition/analysis/interpretation: JBHW, MH, AM, UJB, RD, SAB, AKS, AR, SZ, SA, RH, JS, FL, KAN, SB and HE. Drafting manuscript: HE together with JBHW, MH and SB. Drafting display items: JBHW, MH, SB, together with HE. All authors read and approved the final version of the manuscript.
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Justus B. H. Wilke and Martin Hindermann have shared first authorship.
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Wilke, J.B.H., Hindermann, M., Moussavi, A. et al. Inducing sterile pyramidal neuronal death in mice to model distinct aspects of gray matter encephalitis. acta neuropathol commun 9, 121 (2021). https://doi.org/10.1186/s40478-021-01214-6
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DOI: https://doi.org/10.1186/s40478-021-01214-6