Skip to main content
Journal of Inflammation Research logoLink to Journal of Inflammation Research
. 2022 May 23;15:3053–3063. doi: 10.2147/JIR.S362006

Differential Regional Vulnerability of the Brain to Mild Neuroinflammation Induced by Systemic LPS Treatment in Mice

Hyeji Jung 1, Hyojeong Lee 1, Dongwook Kim 1, Eunji Cheong 2, Young-Min Hyun 3, Je-Wook Yu 4, Ji Won Um 1,
PMCID: PMC9140139  PMID: 35645573

Abstract

Background

Peripheral inflammation-triggered mild neuroinflammation impacts the brain and behavior through microglial activation. In this study, we performed an unbiased analysis of the vulnerability of different brain areas to neuroinflammation induced by systemic inflammation.

Methods

We injected mice with a single low dose of LPS to induce mild inflammation and then analyzed microglial activation in 34 brain regions by immunohistochemical methods and whole-brain imaging using multi-slide scanning microscopy. We also conducted quantitative RT-PCR to measure the levels of inflammatory cytokines in selected brain regions of interest.

Results

We found that microglia in different brain regions are differentially activated by mild, LPS-induced inflammation relative to the increase in microglia numbers or increased CD68 expression. The increased number of microglia induced by mild inflammation was not attributable to infiltration of peripheral immune cells. In addition, microglia residing in brain regions, in which a single low-dose injection of LPS produced microglial changes, preferentially generated pro-inflammatory cytokines.

Conclusion

Our results suggest that mild neuroinflammation induces regionally different microglia activation, producing pro-inflammatory cytokines. Our observations provide insight into induction of possible region-specific neuroinflammation-associated brain pathologies through microglial activation.

Keywords: neuroinflammation, microglia, inflammatory cytokines, lipopolysaccharide, regional vulnerability

Background

Neuroinflammation reflects the complex interplay between acute and chronic responses of cells within the central nervous system (CNS).1 Neuroinflammation results in synapse loss and contributes to the initiation and progression of neurodegenerative diseases, including Alzheimer’s disease (AD), and Parkinson’s disease, as well as neuropsychiatric disorders, such as schizophrenia and depression.2 Pathological events that evoke systemic inflammation induce neuroinflammation and subsequently impair cognition.3 Under such pathological conditions, peripheral immune cells, which release various inflammatory cytokines, can readily infiltrate into the brain through the loss of blood-brain barrier integrity.4,5 Peripheral inflammation is also sensed through the vagal nerve or gut-to-brain axis to alert the CNS against the threats,6,7 even though the mechanisms by which systemic inflammation elicits afferent nervous signals in the CNS are not clearly understood.

Systematic inflammation can be experimentally induced by peripheral injection of lipopolysaccharide (LPS), a potent endotoxin released from gram-negative bacteria that binds to Toll-like receptor-4. LPS administration activates the innate immune system and induces microglial activation to produce neuroinflammatory responses in the brain. Thus, mice with acutely administered LPS are a widely used animal model for investigating the relationship between neuroinflammation and cognition. Despite the abundant literature on the subject, different observations have been reported regarding the presence of the major pro-inflammatory cytokines in the brain after LPS administration. These discrepancies could be attributable to numerous differences in experimental detail from one study to the next, including the mouse strain used, purity of LPS administered, administration route (eg, intraperitoneal injection (i.p.) vs intracerebroventricular injection), quantity of LPS administered, and duration of administration (acute vs chronic)—all of which may influence the outcome. LPS exposure causes sustained microglial activation in different brain areas, notably including the hippocampus, anterior cingulate cortex (ACC), cerebellum, amygdala and substantia nigra (SN).8–12 Microglial activation induced by systemic inflammation is often associated with molecular and cellular changes, such as neuronal cell loss, synaptic deficits, altered levels of neurotransmitters and oxidative stress. Neuroinflammation is also accompanied by behavioral changes related to specific brain regions. For example, LPS administration in young mice induces microglial activation in the ACC resulting in a subsequent increase in the development of depressive symptoms.8

Despite intensive investigation, it has remained unclear which brain regions are vulnerable to neuroinflammation in response to systemic inflammation. In this study, we administered mice with a single low dose of LPS to induce mild inflammation in the periphery and then analyzed different brain regions to identify regional dependency that may be targets for the effects of low-grade inflammation.

Materials and Methods

Animals

All C57BL/6N and CCR2RFP/+ mice (Jackson Laboratory; #017586) were maintained and handled in accordance with protocols (DGIST-IACUC-20122401-0004) approved by the Institutional Animal Care and Use Committee (IACUC) of the Daegu Gyeongbuk Institute of Science and Technology (DGIST). Mice were maintained on a 12:12-h light: dark cycle under standard, temperature (22–26 ℃)- and humidity (40–60%)-controlled laboratory conditions, and received water and food ad libitum. Mice were group-housed at up to four animals per cage. All experimental procedures were performed on 44 mice and were conducted according to the guidelines and protocols for rodent experimentation approved by the IACUC of DGIST. Only male mice were analyzed in the current study to avoid the biological variability arising from sex differences.

Antibodies

The following commercially available antibodies were used: rabbit polyclonal anti-Iba-1 (Fujifilm Wako, Cat# 016–20001; RRID: AB_839506) and rat monoclonal anti-CD68 (clone FA-11; Bio-Rad, Cat# MCA1957GA; RRID: AB_324217).

LPS Injection and Immunohistochemistry

Eight-week-old mice were subjected to 1 or 2 daily intraperitoneal injections of saline or 0.5 mg/kg LPS (from Escherichia coli O111:B4, L3012, Sigma, Lot# 12170308). LPS was first dissolved in distilled water, diluted to a final concentration of 0.05 mg/mL with PBS, and injected into mice in a volume of 10 μL per 1 gram of mouse body weight. For the two daily doses, the LPS solution was injected twice at a 24-h-interval. Twenty-four hours after the final injection, mice were deeply anaesthetized by inhalation of isoflurane and immediately perfused, first with phosphate-buffered saline (PBS) for 3 min and then with 4% paraformaldehyde for 5 min. Brains were dissected out, fixed in 4% paraformaldehyde overnight, then incubated with 30% sucrose (in PBS) overnight and sliced into 40-μm-thick coronal sections using a cryotome (Model CM-3050-S; Leica Biosystems). A total of 34 brain regions associated with neuropsychiatric disorders were selected and subjected to IHC analyses. Sections were permeabilized by incubating with 0.2% Triton X-100 in PBS containing 5% bovine serum albumin and 5% horse serum for 1 h. For immunostaining, brain sections (3 slices/mouse) were incubated for 16 h at 4 ℃ with primary antibodies against Iba-1 and CD68, diluted 1:400 and 1:300, respectively, in the same blocking solution. Sections were washed three times in PBS and incubated with appropriate Cy3- or FITC-conjugated secondary antibodies (Jackson ImmunoResearch) for 2 h at room temperature. After three washes with PBS, sections were mounted onto glass slides (Superfrost Plus; Fisher Scientific) with Vectashield mounting medium (H-1200; Vector Laboratories). Whole selected brain sections were scanned using a confocal microscope (LSM800; Carl Zeiss) or a slide scanner (Axio Scan.Z1; Carl Zeiss) with a 20 × objective lens; all image settings were kept constant during image acquisition. Z-stack images obtained with the slide scanner were converted to maximal projections, and the acquired images were further processed using ZEN software installed in Axio Scan.Z1. Boundaries of each anatomical subregions in five brain sections (Bregma level 1.98, 0.98, −1.82, −3.16, and −4.6) were manually defined according to Paxinos and Franklin’s, The Mouse Brain in Stereotaxic Coordinates (4th edition). After clearly distinguishing each anatomical subregion during alignment, the density of Iba-1+ immunoreactive cells in each brain region was analyzed in a blinded manner using MetaMorph software (Molecular Devices Corp.).

Quantitative Real-Time Polymerase Chain Reaction

Cortex, hippocampus, habenula (Hb), and ventral tegmental area (VTA) were rapidly dissected or punched out from 2 to 4 slices of acute brain sections (200-μm thick) with reference to the Mouse Brain Atlas, and prepared using a vibratome (Leica, VT1000S). Harvested brain tissues were incubated with 1 mL of TRIzol reagent (Invitrogen) at room temperature for 5 min. After phenol-chloroform extraction, RNA in the upper aqueous phase was isolated and precipitated using 2-propanol. Precipitated RNA pellets were washed twice with 75% Ethanol in DEPC-treated water and dissolved in DEPC water. cDNA (Hb/VTA, 120 ng; hippocampus/cortex, 500 ng) was synthesized from RNA by reverse transcription using a ReverTra Ace-α kit (Toyobo). Quantitative polymerase chain reaction (qPCR) was performed on a CFX96 Touch Real-Time PCR system (BioRad) using TB Green premix (Takara). After the initial denaturation (95℃, 15 min), 45 cycles of a two-step thermocycles consist of denaturation (94℃, 15 s) and annealing/extension (61℃, 40 s) were carried out. All reactions were performed in duplicates and the ubiquitously expressed Gapdh gene was used to normalize the expression levels of cytokines in each sample. The following target genes were amplified using the indicated primer pairs: mouse IL-1β, 5’-GGT GTG TGA CGT TCC CAT TA-3’ (forward) and 5’-ATT GAG GTG GAG AGC TTT CAG-3’ (reverse); mouse TNFα, 5’-TTG TCT ACT CCC AGG TTC TCT-3’ (forward) and 5’-GAG GTT GAC TTT CTC CTG GTA TG-3’ (reverse); mouse TGF-β1, 5’-CTG AAC CAA GGA GAC GGA ATA C-3’ (forward) and 5’-GGG CTG ATC CCG TTG ATT T-3’ (reverse); mouse IL-4, 5’-GAA GAA CAC CAC AGA GAG TGA G-3’ (forward) and 5’-TGC AGC TCC ATG AGA ACA C −3’ (reverse); and rat/mouse Gapdh, 5’-ACA TGG TCT ACA TGT TCC AG-3’ (forward) and 5’-TCG CTC CTG GAA GAT GGT GAT-3’ (reverse).

Statistical Analysis

All the data are presented as means ± standard error of the mean (SEM). The data were statistically evaluated using a Mann–Whitney U-test. Prism 8.0 (GraphPad Software) was used for analysis of data and preparation of bar graphs. P-values <0.05 were considered to be statistically significant.

Results

Microglial Activation Occurs in a Brain Region-Dependent Manner in Response to Mild, LPS-Induced Inflammation

To determine which brain regions are vulnerable to LPS-induced systemic inflammation, we injected mice with LPS once a day for 1 or 2 d, and then 24 h after LPS injection assessed microglia activation in various brain regions by immunohistochemical analyses using antibodies against Iba-1 (ionized calcium-binding adapter molecule-1), a specific biomarker for microglial cells. We chose 34 brain areas that have been associated with various neuropsychiatric disorders for anatomical analyses.13–16 Using AxioScanner, we examined the number of Iba-1+ cells in 34 brain regions using the same imaging conditions (Table 1, Figure 1, Figures S1 and S2). We found that the number of microglia was drastically increased in all examined brain regions of mice injected with LPS twice on two consecutive days. Interestingly, a single i.p. injection of LPS induced an increase in the number of Iba-1+ microglia in specific brain regions, namely the medial habenula (MHb), lateral habenula (LHb), medial septum (MS), nucleus accumbens (NAc), claustrum (Cla), infralimbic cortex (ILC), piriform cortex (PC), retrosplenial cortex (RSC), auditory cortex (AC), and entorhinal cortex (EC). Among these regions, the MHb displayed the largest fold change (~2.6-folds) in the number of microglia in mice injected with a single dose of LPS compared with control saline-injected mice (Table 1, Figure 1C).

Table 1.

Summary of Microglia Numbers in Various Brain Areas

Region A Single Dose Two Daily Doses
Means ± SEMs Fold Change Statistics p value Means ± SEMs Fold Change Statistics p value
PBS LPS PBS LPS
ACC 186.68 ± 13.52 203.01 ± 10.43 1.09 ns 0.3453 183.44 ± 10.84 265.89 ± 9.98 1.45 **** <0.0001
PLC 198.49 ± 14.97 230.83 ± 11.55 1.16 ns 0.1160 200.69 ± 9.13 308.46 ± 7.95 1.54 **** <0.0001
ILC 211.47 ± 15.58 248.56 ± 11.96 1.18 * 0.0295 183.37 ± 10.39 319.63 ± 8.47 1.74 **** <0.0001
Cla 239.62 ± 15.66 285.02 ± 12.91 1.19 * 0.0209 254.64 ± 15.14 373.86 ± 5.95 1.47 **** <0.0001
IC 235.15 ± 14.63 263.80 ± 10.2 1.12 ns 0.0675 231.41 ± 13.86 344.46 ± 10.46 1.49 **** <0.0001
LS 134.04 ± 15.82 127.25 ± 19.09 0.95 ns 0.7130 170.31 ± 7.08 252.37 ± 8.61 1.48 **** <0.0001
MS 105.26 ± 16.16 166.53 ± 12.62 1.58 ** 0.0057 88.91 ± 5.86 233.42 ± 11.13 2.63 **** <0.0001
MC 208.38 ± 16.29 214.54 ± 9.36 1.03 ns 0.3892 207.34 ± 12.29 312.2 ± 9.51 1.51 **** <0.0001
NAcc 259.46 ± 19.35 311.32 ± 12.38 1.20 * 0.0209 241.62 ± 15.07 392.6 ± 6.09 1.62 **** <0.0001
NAcsh 206.01 ± 14.99 256.27 ± 9.25 1.24 ** 0.0049 175.2 ± 9.68 316.01 ± 7.8 1.80 **** <0.0001
SC 165.55 ± 14.33 182.87 ± 11.29 1.10 ns 0.2496 197.49 ± 12.94 307.25 ± 11.52 1.56 **** <0.0001
PC 221.32 ± 18.05 281.13 ± 10.33 1.27 ** 0.0020 199.69 ± 15.51 342.42 ± 8.06 1.71 **** <0.0001
RSC 180.04 ± 9.57 232.29 ± 12.75 1.29 ** 0.0043 160.45 ± 7.5 272.92 ± 15.73 1.70 **** <0.0001
dCA1 232.88 ± 12.65 221.32 ± 19.55 0.95 ns 0.4864 217.83 ± 8.29 295.49 ± 8.18 1.36 **** <0.0001
dCA3 127.19 ± 18.11 158 ± 19.8 1.24 ns 0.3046 182.41 ± 14.15 329.71 ± 31.14 1.81 **** <0.0001
dDG 167.31 ± 17.04 201.41 ± 19.99 1.20 ns 0.2671 227.26 ± 16.35 337.84 ± 13.37 1.49 **** <0.0001
LHb 85.7 ± 17.88 138.85 ± 19.32 1.62 * 0.0145 81.47 ± 16.7 228.47 ± 17.48 2.80 **** <0.0001
MHb 67.52 ± 12.11 176.5 ± 20.55 2.61 *** 0.0003 138.1 ± 23.69 340.47 ± 17.8 2.47 **** <0.0001
PVT 45.41 ± 9.86 74.5 ± 16.01 1.64 ns 0.1261 85.12 ± 15.31 245.38 ± 18.58 2.88 **** <0.0001
MDT 36.46 ± 8.03 43.81 ±8.99 1.20 ns 0.5949 85.49 ± 17.2 283.24 ± 29.54 3.31 **** <0.0001
CM 46.63 ± 10.39 53.19 ± 10.45 1.14 ns 0.4363 92.58 ± 18.38 284.06 ± 30.48 3.07 **** <0.0001
CeA 280.6 ± 12.46 257.89 ± 20.93 0.92 ns 0.7130 167.07 ± 5.76 332.29 ± 21.36 1.99 **** <0.0001
BLA 334.98 ± 13.68 305.71 ± 18.56 0.91 ns 0.7130 238.93 ± 8.56 345.37 ± 12.33 1.45 **** <0.0001
DMH 203.69 ± 13.41 227.69 ± 18.89 1.12 ns 0.2854 134.26 ± 10.39 260.37 ± 9.96 1.94 **** <0.0001
VMH 228.17 ± 19.21 251.15 ± 15.1 1.10 ns 0.3314 142.52 ± 13.99 351.25 ± 25.18 2.46 **** <0.0001
AC 152.84 ± 13.57 193.54 ± 13.48 1.27 * 0.0453 149.79 ± 7.02 240.7 ± 9.65 1.61 **** <0.0001
EC 192.74 ± 13.99 275.04 ± 11.56 1.43 *** 0.0001 134.23 ± 8.49 267.88 ± 10.95 2.00 **** <0.0001
vCA1 154.84 ± 6.72 173.31 ± 11.26 1.12 ns 0.1873 95.82 ± 5.65 221.24 ± 6.24 2.31 **** <0.0001
vCA3 142.44 ± 8.99 152 ± 15.16 1.07 ns 0.8702 99.78 ± 4 211.93 ± 6.22 2.12 **** <0.0001
vDG 142.05 ± 13.14 153.93 ± 17.68 1.08 ns 0.9674 141.94 ± 6.45 257.73 ± 6.93 1.82 **** <0.0001
SN 118.34 ± 12.29 154.9 ± 17.94 1.31 ns 0.2017 73.55 ± 6.13 324.05 ± 10.89 4.41 **** <0.0001
VTA 50.59 ± 5.62 55.59 ± 8.69 1.10 ns 0.9349 20.56 ± 2.35 179.62 ± 12.14 8.73 **** <0.0001
PAG 223.49 ± 13.38 146.19 ± 22.52 0.65 * 0.0128 161.79 ± 11.7 283.67 ± 8.3 1.75 **** <0.0001
DRN 155.29 ± 23.58 94.14 ± 10.96 0.61 * 0.0453 139.03 ± 18.02 265.57 ± 7.81 1.91 **** <0.0001

Notes: Quantification of the density (mm−2) of iba-1+ cells. Data are means ± SEMs (n = 14~15 sections from 5 mice; *p < 0.05, ** p < 0.01, ***p < 0.001, ****p < 0.0001, ns, not significant; Mann–Whitney U-test).

Abbreviations: ACC, anterior cingulate cortex; PLC, prelimbic cortex; ILC, infralimbic cortex; Cla, claustrum; IC, insular cortex; LS, lateral septum; MS, medial septum; MC, motor cortex; NAcc, nucleus accumbens core; NAcsh, nucleus accumbens shell; SC, somatosensory cortex; PC, piriform cortex; RSC, retrosplenial cortex; dCA1, dorsal cornu ammonis 1; dCA3, dorsal cornu ammonis 3; dDG, dorsal dentate gyrus; LHb, lateral habenula; MHb, medial habenula; PVT, paraventricular thalamic nucleus; MDT, mediodorsal nucleus of thalamus; CM, centromedian nucleus of thalamus; CeA, central nucleus of amygdala; BLA, basolateral nucleus of amygdala; DMH, dorsomedial hypothalamus; VMH, ventromedial hypothalamus; AC, auditory cortex; EC, entorhinal cortex; vCA1, ventral cornu ammonis 1; vCA3, ventral cornu ammonis 3; vDG, ventral dentate gyrus; SN, substantia nigra; VTA, ventral tegmental area; PAG, periaqueductal area; DRN, dorsal raphe nucleus; PBS, phosphate buffered saline; and LPS, lipopolysaccharide.

Figure 1.

Figure 1

Mild, LPS-induced inflammation produces a spatially patterned microglial activation throughout the adult mouse brain. (A) Heat maps of fold changes in microglia number in each anatomical region induced by single i.p. LPS injection. Top: Purple represents brain regions examined; bottom: color scale indicates fold changes in microglia number ranging from 0 to 1.64; fold change in MHb is not included (2.61) (*p < 0.05, **p < 0.01, ***p < 0.001). (B) Representative images of MHb, LHb, CM, MDT or PVT brain regions and immunostaining for the microglial marker Iba-1 in mice injected with saline or i.p.-administered a single or 2 daily doses of LPS. (C) Quantification of the density of Iba-1+ cells. Data are means ± SEMs (n = 14~15 sections from 5 mice; *p < 0.05, ***p < 0.001, ****p < 0.0001; Mann–Whitney U-test). (D) Representative images of vCA1, vCA3, vDG, MC, SC, IC, Cla or PC brain regions and immunostaining for the microglial marker Iba-1 and CD68 in mice injected with saline or i.p.-administered a single dose of LPS. Scale bar: 25 µm (applies to all images) (E) Quantification of the colocalization percentage of Iba-1+/CD68+ cells. Data are means ± SEMs (n = 14~15 sections from 5 mice; **p < 0.01, ****p < 0.0001; Mann–Whitney U-test).

Abbreviations: ACC, anterior cingulate cortex; AC, auditory cortex; BLA, basolateral nucleus of amygdala; CA1, cornu ammonis 1; CA3, cornu ammonis 3; CeA, central nucleus of amygdala; Cla, claustrum; CM, central nucleus of thalamus; DG, dentate gyrus; DMH, dorsomedial hypothalamus; DRN, dorsal raphe nucleus; EC, entorhinal cortex; IC, insula cortex; ILC, infralimbic cortex; LHb, lateral habenula; LS, lateral septum; MDT, mediodorsal nucleus of thalamus; MHb, medial habenula; MC, motor cortex; MS, medial septum; NAcc, nucleus accumbens core; NAcsh, nucleus accumbens shell; PAG, periaqueductal area; PC, piriform cortex; PLC, prelimbic cortex; PVT, paraventricular nucleus of thalamus; RSC, retrosplenial cortex; SC, somatosensory cortex; SN, substantia nigra; vCA1, ventral CA1; vCA3, ventral CA3; vDG, ventral DG; VMH, ventromedial hypothalamus; and VTA, ventral tegmental area.

To confirm whether the enhanced density of microglia induced by LPS administration represents a population of activated microglia, we performed an immunohistochemical analysis of the expression levels of CD68, a lysosomal protein that is frequently used as a marker for active phagocytic microglia.17 Strikingly, CD68 expression was significantly increased in Cla regions, but not in MHb, LHb, NAc, EC or AC regions, following a single i.p. LPS injection, despite increases in microglia numbers (Figure 1D and E and Figure S3). Interestingly, CD68 expression was markedly increased in CA3 and DG of ventral hippocampal regions (vCA3, vDG), basolateral amygdala (BLA), and dorsomedial hypothalamus (DMH), where microglia numbers were unchanged by a single i.p. LPS injection (Figure 1D and E and Figure S3). These data suggest that microglia in different brain regions are differentially activated by mild, LPS-induced inflammation relative to the increase in microglia numbers or increased CD68 expression.

Under systemic inflammatory condition, circulating monocytes from the bloodstream can infiltrate to the CNS.18 Thus, we further investigated whether increases in the number of microglia in different brain regions of LPS-treated mice were attributable to infiltration of circulating monocytes into the brain. To this end, we examined the expression of chemokine (C-C motif) receptor 2 (CCR2), a marker of monocytes, using mice expressing red fluorescent protein (RFP) under the control of the CCR2 promoter. Specifically, hemizygous CCR2-RFP (CCR2RFP/+) mice were i.p.-injected with a single dose or 2 daily doses of saline or LPS, and then 24 h after the final LPS injection, brain tissues were examined histologically for invasion of circulating monocytes. These analyses revealed that, following a single i.p. LPS injection, the red fluorescence from RFP was barely detectable in some brain regions, such as the MHb, LHb, EC, nucleus accumbens core (NAcc) and nucleus accumbens shell (NAcsh), in which microglia numbers were increased (Figure 2). In contrast, in mice injected with two daily doses of LPS, red fluorescence-positive cells were prominently detected in VTA regions (Figure 2). These data imply that resident microglia rather than infiltrating monocytes likely contribute to the increased number of microglia in response to peripheral LPS administration.

Figure 2.

Figure 2

Mild, LPS-induced inflammation does not cause the infiltration of peripheral immune cells. Representative images showing the number of CCR2-RFP+ cells and immunostaining for the microglial marker Iba-1 (green) in the indicated brain regions of CCR2-RFP mice injected with saline or i.p.-administered a single or 2 daily doses of LPS. Yellow arrow heads indicate CCR2-RFP+ cells.

Abbreviations: CA1, cornu ammonis 1; LHb, lateral habenula; NAcsh, nucleus accumbens shell; and VTA, ventral tegmental area.

Cytokines Released by Activated Microglia Exhibit Brain Region-Specific Differences

Given that low, tolerable doses of LPS render the brain transiently protect against subsequent neural injury,18–20 we determined whether increases in microglia numbers or activation by a single low-dose injection of LPS lead to differentiation of microglia into an M1-type (pro-inflammatory) or M2-type (anti-inflammatory) phenotype. To this end, we performed quantitative RT-PCR to measure the mRNA levels of the anti-inflammatory cytokine genes, interleukin-4 (IL-4) and transforming growth factor-beta1 (TGF-β1), and pro-inflammatory cytokine genes, interleukin-1beta (IL-1β) and tumor necrosis factor-alpha (TNFα) in selected brain regions. For purposes of monitoring mRNA expression of inflammatory factors, we chose the Hb region, where microglia numbers were increased with no changes in CD68 expression; the hippocampal region, where CD68 expression was elevated with no change in microglial density; cortical regions, where microglia number and CD68 expression were increased; and the VTA region, where neither microglia number nor CD68 expression was changed. This analysis showed that mRNA levels of IL-1β and TNFα were significantly increased in hippocampal and Hb regions as well as cortical regions, with IL-1β exhibiting ~20 and ~5-fold increases in the hippocampus and Hb, respectively, and TNFα showing corresponding increases of ~15- and ~5-fold, whereas TNFα mRNA levels were moderately increased in the VTA region (Figure 3). TGF-β1 mRNA levels were increased by ~2-fold in the hippocampus and Hb but were unchanged in the VTA (Figure 3), and IL-4 mRNA levels were unchanged in all brain regions examined (Figure 3). These data suggest that microglia resident in brain regions, in which a single low-dose injection of LPS produced microglial changes, preferentially generated pro-inflammatory cytokines.

Figure 3.

Figure 3

Mild, LPS-induced inflammation upregulates the pro-inflammatory cytokine levels. (AD) qRT-PCR analysis of IL-1β, TNFα, TGF-β1, and IL-4 in the indicated regions of brain collected from mice i.p.-injected with saline or a single dose of LPS. (n = 4~6 mice/group; *p < 0.05, **p < 0.01; Mann–Whitney U-test).

Abbreviations: Hb, habenula; Hpp, hippocampus; IL-1β, interleukin-1beta; IL-4, interleukin-4; TGF-β1, transforming growth factor-beta1; TNFα, tumor necrosis factor-alpha; and VTA, ventral tegmental area.

Discussion

In the current study, we sought to uncover which brain areas are vulnerable to neuroinflammation by applying a systemic inflammation-inducing protocol that causes mild neuroinflammation. We analyzed microglial alterations as a consequence of neuroinflammation in various brain regions and identified specific regions that exhibited higher vulnerability to neuroinflammation, detecting significant increases in the number of microglia in Hb, MS, NAc, Cla, ILC, PC, RSC, AC, and EC regions in response to a mild neuroinflammatory stimulus.

It has been reported that microglial proliferation is primarily observed in circumventricular organs (CVOs) lacking a typical blood-brain barrier (BBB) surrounding the brain ventricles and in the neighboring brain areas.21,22 Thus, CVOs are considered to play key roles in mediating blood-brain communication, and can be reached directly by pathogens and cytokines through CVO capillaries, which further spread out to other brain regions.21,22 The current study did not determine the extent to which increased numbers of microglia induced by mild inflammation are caused by an increased rate of microglial proliferation and/or increased recruitment of residual microglia. Future studies are warranted to address this important issue.

Microglia play important roles in synaptic pruning through the complement cascade during development and under disease conditions.23–25 Microglial synaptic pruning contributes to determining the synaptic excitation/inhibition balance and sculpting the properties of specific neural circuits.26 In this context, neuroinflammation-induced changes in the key functions of microglia in Hb, MS, NAc, Cla, ILC, PC, RSC, AC, and EC regions may exert significant effects on synaptic/circuit functions and subsequent progression of specific and relevant neurological diseases. These brain regions have been reported to be associated with various neurological diseases.13–16 Future studies should determine whether the microglial activation induced by mild neuroinflammation affects the phagocytic activities involved in synapse pruning or contributes to progression of relevant neuropsychiatric or neurodegenerative diseases in specific brain regions.

While neuroinflammation is induced by acute CNS injuries such as traumatic brain injury, spinal cord injury and stroke, microglia release pro-inflammatory cytokines and reactive oxygen species27 that may be detrimental to recovery. In addition, peripheral immune cells are recruited and infiltrated into CNS tissue,28 although whether this has a beneficial or detrimental impact on recovery is a matter of controversy. Unlike acute and strong neuroinflammation, mild neuroinflammatory conditions did not cause infiltration of peripheral immune cells, but activated resident microglia did release pro-inflammatory cytokines such as IL-1β or TNFα in neuroinflammation-vulnerable brain regions. Although more studies are required, considering that microgliosis and neuroinflammation are accompanied by poor clearance of β-amyloid by microglia in the brains of late stage AD patients, it is likely that the ability of microglia to sculpt synaptic connections through phagocytosis may be diminished under neuroinflammatory condition.29

Microglia are not uniformly distributed throughout the CNS; instead, they exhibit differences in characteristics among brain regions ranging from cell number and morphology to molecular signature. Thus, microglia may differentially function in a brain region-specific manner.30 It is tempting to speculate that such spatial heterogeneity contributes to the varying sensitivities of individual microglia in different brain regions to neuroinflammatory signals, and hence underlies their functional relevance for CNS disease development. In particular, region-specific expression of microglial gene signatures relevant to inflammation might affect the properties and sensitivities of microglia. For example, TREM2 (triggering receptor expressed on myeloid cells 2) was found to be variably expressed; relatively high in the frontal cortex, NAc and hippocampus, but low in the thalamus, hypothalamus and SN.31 CX3CR1 (C-X3-C motif chemokine receptor 1) expression was also shown to be enriched in cortical regions, basal ganglia and the hypothalamus compared with noncortical regions.32 These molecular diversities might account for regional vulnerabilities to mild inflammation.

Our study has several limitations. First, we employed only male mice in the current study to minimize variability resulting from the effect of female hormones. Given the well-known sexual dimorphism among individuals with neuropsychiatric disorders, it would be worthwhile investigating whether the altered microglial density and/or activity observed in males is similarly recapitulated in their female counterparts. Second, we did not perform a detailed analysis of alterations in microglial morphology in response to mild neuroinflammation. Historically, microglia phenotypes have been classified into three categories based on their morphological features: ramified cells, designated “resting” microglia; bushy cells, considered intermediate states; and amoeboid cells, defined as activated microglia.17,33 Given that microglia morphological features and functions are intimately correlated, such a further analysis of microglial morphology should be applied to our mouse model. Third, a variety of factors (eg, temporal sequences of neuroinflammation, molecular identities of microglia, stimulus dose, type of stimulus) could contribute to the various forms of microglial dynamics. Specific ligands mediate microglial activation through specific receptors to produce behavioral outcomes.34 It is possible that an increased rate of microglial proliferation and/or increased infiltration of peripheral monocytes by neuroinflammation might depend on the type of stimulant. Therefore, it is important to assess whether observed changes in microglial density and/or activity are similarly recapitulated in a variety of conditions that induce neuroinflammation.

Overall, the current study identified specific neuroinflammation-sensitive brain regions that may be linked to neuroinflammation-associated brain malfunction or pathologies. Our observations provide important clues regarding future therapeutic targets against the pathobiology of neuroinflammation.

Conclusions

In this study, we identified specific regions that exhibited higher vulnerability to neuroinflammation, detecting significant increases in the number of microglia in the Hb, MS, NAc, Cla, ILC, PC, RSC, AC, and EC regions. Our findings contribute to a better understanding of how systemic inflammation affects brain function and which brain regions are most and earliest affected, as well as a novel insight that changes in microglial function in specific brain regions caused by systemic inflammation may have significant effects on synaptic/circuit functions and the progression of specific, relevant neurological diseases.

Acknowledgments

We thank Jinha Kim (DGIST) for technical assistance.

Funding Statement

This study was supported by grants from the National Research Foundation of Korea (NRF) funded by the Ministry of Science and Future Planning (2019R1A2C1086048 to J.W.U. and 2020R1A4A1019009 to E.C., Y.M.H., J.W.Y., and J.W.U.), the DGIST R&D Program of the Ministry of Science and ICT (22-CoE-BT-01, 22-HRHR-01 to J.W.U.).

Data Sharing Statement

The data sets analyzed during the current study are available from the corresponding author on reasonable request.

Ethics Approval

All procedures and protocols were approved by the Institutional Animal Care and Use Committee of Daegu Gyeongbuk Institute of Science and Technology (DGIST). All experiments were conducted according to the guidelines and protocols for rodent experimentation approved by the Institutional Animal Care and Use Committee of DGIST.

Consent for Publication

Not applicable.

Author Contributions

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

Disclosure

The authors declare that they have no competing interest in this work.

References

  • 1.Sochocka M, Diniz BS, Leszek J. Inflammatory response in the CNS: friend or foe? Mol Neurobiol. 2017;54(10):8071–8089. doi: 10.1007/s12035-016-0297-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.DiSabato DJ, Quan N, Godbout JP. Neuroinflammation: the devil is in the details. J Neurochem. 2016;139(S2):136–153. doi: 10.1111/jnc.13607 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Manabe T, Heneka MT. Cerebral dysfunctions caused by sepsis during ageing. Nat Rev Immunol. 2021. doi: 10.1038/s41577-021-00643-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Tejera D, Mercan D, Sanchez-Caro JM, et al. Systemic inflammation impairs microglial Aβ clearance through NLRP3 inflammasome. EMBO J. 2019;38(17):e101064. doi: 10.15252/embj.2018101064 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Singer BH, Newstead MW, Zeng X, et al. Cecal ligation and puncture results in long-term central nervous system myeloid inflammation. PLoS One. 2016;11(2):e0149136. doi: 10.1371/journal.pone.0149136 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Olofsson PS, Rosas-Ballina M, Levine YA, Tracey KJ. Rethinking inflammation: neural circuits in the regulation of immunity. Immunol Rev. 2012;248(1):188–204. doi: 10.1111/j.1600-065X.2012.01138.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Tracey KJ. The inflammatory reflex. Nature. 2002;420(6917):853–859. doi: 10.1038/nature01321 [DOI] [PubMed] [Google Scholar]
  • 8.Cao P, Chen C, Liu A, et al. Early-life inflammation promotes depressive symptoms in adolescence via microglial engulfment of dendritic spines. Neuron. 2021;109(16):2573–2589. doi: 10.1016/j.neuron.2021.06.012 [DOI] [PubMed] [Google Scholar]
  • 9.Pires JM, Foresti ML, Silva CS, et al. Lipopolysaccharide-induced systemic inflammation in the neonatal period increases microglial density and oxidative stress in the cerebellum of adult rats. Front Cell Neurosci. 2020;14:142. doi: 10.3389/fncel.2020.00142 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Wang KC, Fan LW, Kaizaki A, Pang Y, Cai Z, Tien LT. Neonatal lipopolysaccharide exposure induces long-lasting learning impairment, less anxiety-like response and hippocampal injury in adult rats. Neuroscience. 2013;234:146–157. doi: 10.1016/j.neuroscience.2012.12.049 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Fan L-W, Tien L-T, Zheng B, et al. Dopaminergic neuronal injury in the adult rat brain following neonatal exposure to lipopolysaccharide and the silent neurotoxicity. Brain Behav Immun. 2011;25(2):286–297. doi: 10.1016/j.bbi.2010.09.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Zheng Z-H, Tu J-L, Li X-H, et al. Neuroinflammation induces anxiety- and depressive-like behavior by modulating neuronal plasticity in the basolateral amygdala. Brain Behav Immun. 2021;91:505–518. doi: 10.1016/j.bbi.2020.11.007 [DOI] [PubMed] [Google Scholar]
  • 13.Aizawa H, Cui W, Tanaka K, Okamoto H. Hyperactivation of the habenula as a link between depression and sleep disturbance. Front Hum Neurosci. 2013;7. doi: 10.3389/fnhum.2013.00826 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Fenster RJ, Lebois LAM, Ressler KJ, Suh J. Brain circuit dysfunction in post-traumatic stress disorder: from mouse to man. Nat Rev Neurosci. 2018;19(9):535–551. doi: 10.1038/s41583-018-0039-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Hu H, Cui Y, Yang Y. Circuits and functions of the lateral habenula in health and in disease. Nat Rev Neurosci. 2020;21(5):277–295. doi: 10.1038/s41583-020-0292-4 [DOI] [PubMed] [Google Scholar]
  • 16.Russo SJ, Nestler EJ. The brain reward circuitry in mood disorders. Nat Rev Neurosci. 2013;14(9):609–625. doi: 10.1038/nrn3381 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Park D, Kim S, Kim H, Shin J, Jung H, Um JW. Seizure progression triggered by IQSEC3 loss is mitigated by reducing activated microglia in mice. Glia. 2020;68(12):2661–2673. doi: 10.1002/glia.23876 [DOI] [PubMed] [Google Scholar]
  • 18.Chen Z, Jalabi W, Shpargel KB, et al. Lipopolysaccharide-induced microglial activation and neuroprotection against experimental brain injury is independent of hematogenous TLR4. J Neurosci. 2012;32(34):11706–11715. doi: 10.1523/JNEUROSCI.0730-12.2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Tasaki K, Ruetzler CA, Ohtsuki T, Martin D, Nawashiro H, Hallenbeck JM. Lipopolysaccharide pre-treatment induces resistance against subsequent focal cerebral ischemic damage in spontaneously hypertensive rats. Brain Res. 1997;748(1):267–270. doi: 10.1016/S0006-8993(96)01383-2 [DOI] [PubMed] [Google Scholar]
  • 20.Shpargel KB, Jalabi W, Jin Y, Dadabayev A, Penn MS, Trapp BD. Preconditioning paradigms and pathways in the brain. Cleve Clin J Med. 2008;75(3 suppl 2):S77–S82. doi: 10.3949/ccjm.75.Suppl_2.S77 [DOI] [PubMed] [Google Scholar]
  • 21.Furube E, Kawai S, Inagaki H, Takagi S, Miyata S. Brain region-dependent heterogeneity and dose-dependent difference in transient microglia population increase during lipopolysaccharide-induced inflammation. Sci Rep. 2018;8(1):2203. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Torii K, Takagi S, Yoshimura R, Miyata S. Microglial proliferation attenuates sickness responses in adult mice during endotoxin-induced inflammation. J Neuroimmunol. 2022;365:577832. doi: 10.1016/j.jneuroim.2022.577832 [DOI] [PubMed] [Google Scholar]
  • 23.Stevens B, Allen NJ, Vazquez LE, et al. The classical complement cascade mediates CNS synapse elimination. Cell. 2007;131(6):1164–1178. doi: 10.1016/j.cell.2007.10.036 [DOI] [PubMed] [Google Scholar]
  • 24.Hong S, Beja-Glasser VF, Nfonoyim BM, et al. Complement and microglia mediate early synapse loss in Alzheimer mouse models. Science. 2016;352(6286):712–716. doi: 10.1126/science.aad8373 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Vasek MJ, Garber C, Dorsey D, et al. A complement–microglial axis drives synapse loss during virus-induced memory impairment. Nature. 2016;534(7608):538–543. doi: 10.1038/nature18283 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Um JW. Roles of glial cells in sculpting inhibitory synapses and neural circuits. Front Mol Neurosci. 2017;10. doi: 10.3389/fnmol.2017.00381 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.David S, Kroner A. Repertoire of microglial and macrophage responses after spinal cord injury. Nat Rev Neurosci. 2011;12(7):388–399. doi: 10.1038/nrn3053 [DOI] [PubMed] [Google Scholar]
  • 28.Gelderblom M, Leypoldt F, Steinbach K, et al. Temporal and spatial dynamics of cerebral immune cell accumulation in stroke. Stroke. 2009;40(5):1849–1857. doi: 10.1161/STROKEAHA.108.534503 [DOI] [PubMed] [Google Scholar]
  • 29.Lai AY, McLaurin J. Clearance of amyloid-β peptides by microglia and macrophages: the issue of what, when and where. Future Neurol. 2012;7(2):165–176. doi: 10.2217/fnl.12.6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Tan Y-L, Yuan Y, Tian L. Microglial regional heterogeneity and its role in the brain. Mol Psychiatry. 2020;25(2):351–367. doi: 10.1038/s41380-019-0609-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Schmid CD, Sautkulis LN, Danielson PE, et al. Heterogeneous expression of the triggering receptor expressed on myeloid cells-2 on adult murine microglia. J Neurochem. 2002;83(6):1309–1320. doi: 10.1046/j.1471-4159.2002.01243.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Tarozzo G, Bortolazzi S, Crochemore C, et al. Fractalkine protein localization and gene expression in mouse brain. J Neurosci Res. 2003;73(1):81–88. doi: 10.1002/jnr.10645 [DOI] [PubMed] [Google Scholar]
  • 33.Li D, Lang W, Zhou C, et al. Upregulation of microglial ZEB1 ameliorates brain damage after acute ischemic stroke. Cell Rep. 2018;22(13):3574–3586. doi: 10.1016/j.celrep.2018.03.011 [DOI] [PubMed] [Google Scholar]
  • 34.Murayama S, Kurganov E, Miyata S. Activation of microglia and macrophages in the circumventricular organs of the mouse brain during TLR2-induced fever and sickness responses. J Neuroimmunol. 2019;334:576973. doi: 10.1016/j.jneuroim.2019.576973 [DOI] [PubMed] [Google Scholar]

Articles from Journal of Inflammation Research are provided here courtesy of Dove Press

RESOURCES