Abstract
Background
In cerebral ischemia, microglia have a dichotomous role in keeping the balance between pro- and anti-inflammatory mediators to avoid deleterious chronic inflammation and to leverage repair processes.
Methods
We examined functional and inflammatory markers in primary rat microglia in vitro after oxygen-glucose deprivation (OGD) or glucose deprivation (aglycemia). We then investigated the preconditioning effect of OGD or aglycemia upon a subsequent strong inflammatory stimulus, here lipopolysaccharides (LPS). Moreover, an “in vitro brain model” of neurons and glia, differentiated from primary rat neural stem cells, was exposed to OGD or aglycemia. Conditioned medium (CM) of this neuronal/glial co-culture was then used to condition microglia, followed by LPS as a “second hit.”
Results
OGD or aglycemia at sublethal doses did not significantly affect microglia function, including the expression of inflammatory markers. However, preconditioning with either OGD or aglycemia led to a decreased pro-inflammatory response to a subsequent stimulus with LPS. Interestingly, the anti-inflammatory markers IGF-1 and IL-10 were additionally reduced after such preconditioning, while expression of CD206 remained unaffected. Treatment with CM from the neuronal/glial co-culture alone did not affect the expression of inflammatory markers in microglia. In contrast, treatment with CM increased the expression of both pro- and anti-inflammatory markers in microglia upon a second hit with LPS. Interestingly, this effect could be attenuated in microglia treated with CM from neuronal/glia co-cultures preconditioned with OGD or aglycemia.
Conclusions
Data suggest specific and distinct microglia signatures in response to metabolic stress. While metabolic stress directly and indirectly applied to microglia did not mitigate their subsequent response to inflammation, preconditioning with metabolic stress factors such as OGD and aglycemia elicited a decreased inflammatory response to a subsequent inflammation stimulus.
Keywords: OGD, Oxygen-glucose deprivation, Neurons, Astrocytes, preconditioning, inflammation, LPS, neural stem cells
Background
Microglia, the innate immune cells of the central nervous system, demonstrate a highly dynamic, context-dependent phenotype expression determined by the local environment and recent exposure to stimuli [1, 2]. While in the past, microglia phenotypes were classified dichotomously as either the pro-inflammatory M1 or the anti-inflammatory M2 type, recent data reveal that microglia phenotypes are more complex and instead comprise a range of activation states [3]. We previously observed that microglia can switch between phenotypes upon external stimuli, while keeping a “memory” of the previous state [4]. Increasing evidence suggests that microglia may even adapt disease-specific phenotypes, e.g., in Alzheimer’s disease, amyotrophic lateral sclerosis, Parkinson’s disease, multiple sclerosis, and traumatic brain injury [5–7]. After a stroke, microglia develop a specific phenotype that can be distinguished from macrophages [8–10]. In post-ischemic inflammation, microglia have both beneficial and detrimental effects. On the one hand, they support regeneration by being neuroprotective and inducing repair processes, and on the other hand, they can potentiate secondary tissue damage if their pro-inflammatory activation does not cease [2, 11]. Further, microglia closely interact with astrocytes and neurons [6, 12]. Under the hypothesis that this crosstalk between microglia and other cells of the brain is crucial to microglia activation and polarization, and that microglia “memorize” this crosstalk, resulting in divergent responses to subsequent stimuli, we investigated primary rat microglia, as well as co-cultures from neurons and astrocytes, under oxygen-glucose deprivation (OGD) as an in vitro model of cerebral ischemia.
Material and methods
All animal procedures followed the German Laws for Animal Protection and had been approved by the local animal care committee (Tierschutz-Beauftragte University of Cologne) and local governmental authorities (LANUV NRW, AZ 4.16.021).
Cell culture
Microglia cultures were prepared from the cortices of rat pups 2 days postpartum as described previously [12]. Briefly, cells were trypsinized and distributed in flasks and allowed to grow there for 8–10 days in Dulbecco’s modified Eagle’s medium (DMEM) with the addition of 10% fetal calf serum (FCS), 1% penicillin/streptomycin, and 2 mM L-glutamine. After 8–10 days, cultures were shaken for 1 h at 250 rpm to detach microglia. The medium containing the layer of detached microglia was collected and centrifuged. The obtained microglia pellet was re-suspended in fresh culture medium and seeded into subcultures. Experiments were started at 24 h after cultivation.
Primary neural stem cells (NSC) were cultured from fetal rat cortices at embryonic day 13.5 as serum-free monolayers [13]. Briefly, cells were plated on dishes coated with poly-L-ornithine and fibronectin and expanded in Dulbeccos’s modified Eagle’s/F12 medium plus N2 supplement, penicillin/streptomycin, L-glutamine, and sodium pyruvate. As a mitogen, fibroblast growth factor (FGF)2 was included at 10 ng/ml. After first passaging, homogenous NSC cultures were re-plated in the presence of FGF2 at 10,000 cells per cm2. Only NSC from the second until the fourth passage were used for all experiments, in order to utilize unaltered primary cells.
The differentiation of NSC was induced after the withdrawal of FGF2 during the expansion phase. After 7 days, the culture medium was replaced by Neurabasal Medium with GlutaMAX, penicillin/streptomycin, L-glutamine, sodium selenite, B27, NT3, and BDNF. After 14 days of mitogen withdrawal, NSC had differentiated to a neuronal/glial co-culture and were used for experiments.
Oxygen-glucose deprivation/aglycemia
We exposed microglia or the neuronal/glial co-culture to either combined oxygen-glucose deprivation (OGD) or glucose-deprivation alone (aglycemia). Microglia were exposed to this metabolic stress 1 day after subculturing, and neuronal/glial co-cultures were treated after 14 days of mitogen withdrawal from the initial NSC culture. To induce OGD, the culture medium was removed and cells were gently rinsed with PBS, then the medium was replaced by DMEM without glucose, and cells were placed in a hypoxic chamber (oxygen below 1 mmHg; Electrotek, Shipley, UK) at 37 °C (OGD) or in the incubator at normoxia (aglycemia). Oxygen concentration was measured with an oxygen meter (GMH 3611-GL, Greisinger, Regenstauf, Germany), the oxygen concentration was below 0.5% throughout all the experiments. After 30 min (sublethal OGD or aglycemia), the (deoxygenated) aglycemic solution was replaced by a fresh medium, and cells were allowed to recover under normoxia (5% CO2) at 37 °C for 20 h. Under control conditions, cells remained unstressed (i.e., untreated). The supernatant of the neuronal/glial co-culture was collected 20 h after OGD and stored at − 20 °C for further use. Microglia subjected to OGD or aglycemia underwent additional experiments (see below).
Conditioned medium
To investigate the effects crosstalk between the neuronal/glial co-culture and microglia, the frozen supernatant of neuronal/glial co-cultures that underwent OGD or aglycemia was shortly thawed in a water bath at 37 °C and then incubated on subcultured microglia for 20 h.
LPS treatment
To expose microglia to a strong inflammatory stimulus, cells were stimulated with 10 ng/ml LPS (derived from E. coli 0111: B4, cat. L4391, Sigma-Aldrich, St. Louis, MO, USA), either 20 h after OGD or aglycemia for 4 h (Fig. 2a) or after 20 h of incubation with conditioned medium of neuronal/glial co-cultures that underwent OGD or aglycemia (Fig. 4a). Afterwards, the supernatant was removed from the microglia and kept at − 20 °C, while cells were either fixed with 4% paraformaldehyde (PFA), or RNA was extracted.
Immunocytochemistry
Representative images were taken using a digital microscope (Keyence BZ-9000E, Osaka, Japan).
Characterization of microglia
Characteristics of microglia in culture were confirmed immunocytochemically to verify the homogeneity of the cultures. Cells were fixed with 4% paraformaldehyde (PFA) and stained for ionized calcium-binding adapter molecule 1 (Iba1; rabbit polyclonal, dilution 1:1000, cat. 019- 19741, WAKO, Osaka, Japan). Microglia were stained for iNOS (mouse monoclonal, dilution 1:1000, cat. 49999, Abcam, Milton, UK) to detect effects of OGD or LPS treatment on the expression of iNOS. For visualization, fluorescein-labeled anti-mouse IgG or anti-rabbit IgG were used (dilution 1:200, Invitrogen, Karlsruhe, Germany); all cells were additionally counterstained with Hoechst 33342 (Life Technologies, Darmstadt, Germany).
Characterization of neuronal/glial co-cultures
The differentiation fates of NSC 14 days after mitogen withdrawal and the effects of OGD on those cultures were characterized immunocytochemically. Cells were fixed in 4% PFA and then stained for markers for neurons (neuron-specific beta-III tubulin: anti-TuJ1; mouse monoclonal, dilution 1:100, R&D Systems) and astrocytes (glial fibrillary acidic protein: anti-GFAP; rabbit polyclonal, dilution 1:2500, Abcam). For visualization, fluorescein-labeled anti-mouse IgG or anti-rabbit IgG were used; all cells were additionally counterstained with Hoechst 33342.
Propidium iodide/Hoechst staining
Dead cells were stained with propidium iodide (Life Technologies, Darmstadt, Germany) to assess the effects of OGD, aglycemia, or treatment with conditioned medium of neuronal/glial co-cultures on the viability of microglia. All cells, irrespective of viability, were counterstained with Hoechst 33342 (Life Technologies, Darmstadt, Germany), and representative pictures were taken using an inverted fluorescence phase-contrast microscope (Keyence BZ-9000E). Five images were taken per well of a 24-well plate, and both Hoechst-stained and propidium iodide-stained microglia were counted manually. The number of propidium iodide-negative cells was divided by the total (Hoechst-stained) number of microglia in each sample to calculate the ratio of viable cells. The mean values were established among equally treated samples. Results were expressed as percent of the control ± SEM. N = 8–12 cell culture wells per condition from at least two independent experiments (cell culture preparations) were included in the analyses.
Real-time quantitative PCR (RT-qPCR)
To quantify the effects of OGD, aglycemia, or treatment with conditioned medium of neuronal/glial co-cultures, on the inflammatory profile of microglia, RNA was collected at the end of the experiments and RT-qPCR was performed. RNA was isolated from cells by using the RNeasy Mini Kit (Qiagen, Hilden, Germany) following the manufacturer’s protocol. Total RNA concentration and purity were evaluated photometrically. Total RNA was converted to cDNA by reverse transcription the GeneUP using the total RNA mini Kit (Biotechrabbit, Henningsdorf, Germany). All primers were obtained from Biolegio (Nijmegen, The Netherlands). The sequences of the primers are listed in Table 1. The RT-qPCR reaction was carried out using 10 ng total RNA in a 20-μl reaction Quantitect Reagents (Qiagen, Hilden, Germany) following the manufacturer’s recommendations. The samples were amplified and quantified on a Bio-Rad cycler 006537 (Bio-Rad, Hercules, CA, USA). PCR product integrity was evaluated by melting point analysis and agarose gel electrophoresis. The threshold cycle (CT) was normalized to ribosomal protein L13a (RPL13a; ΔCT) and the experimental control condition (ΔΔCT). Mean fold changes are depicted as 2(−ΔΔCT). Mean values ± SEM were calculated for all samples. N = 12 cell culture wells per condition from at least three independent experiments (cell culture preparations) were included in the analyses.
Table 1.
RNA | Sequences forward/backward 5′-3′ | Temperature (°C), step 1/2/3 | Duration (s), step 1/2/3 |
---|---|---|---|
iNOS |
GCTTGTCTCTGGGTCCTCTG/ CTCACTGGGACAGCACAGA |
95/59/72 | 15/15/45 |
CD206 |
AACAAGAATGGTGGGCAGTC/ CCTTTCAGTCCTTTGCAAGC |
95/56/72 | 15/15/45 |
TNFα |
CATCCGTTCTCTACCCAGCC/ AATTCTGAGCCCGGAGTTGG |
95/56.6/72 | 15/15/45 |
IL-6 |
CCCAACTTCCAATGCTCTCCT/ AGCACACTAGGTTTGCCGAG |
95/57.3/72 | 15/15/45 |
IL1-β |
GACTTCACCATGGAACCCGT/ GGAGACTGCCCATTCTCGAC |
95/56/72 | 15/15/45 |
IL-10 |
GAAAAATTGAACCACCCGGCA/ TTTCCAAGGAGTTGCTCCCG |
95/56/72 | 15/15/45 |
RPL13a | TCTCCGAAAGCGGATGAACAC/ CAACACCTTGAGGCGTTCCA | 15/15/45 |
Phagocytosis assay
A phagocytosis assay was performed (CytoSelectTM 96-well Phagocytosis Assay, Cell Biolabs, San Diego, CA, USA) according to the manufacturer’s protocol to assess the effects of OGD or aglycemia on the phagocytic activity of microglia. Phagocytic activity was measured by the amount of engulfed prelabeled zymosan substrate uptake after 2 h of incubation, which was colorimetrically detected after blocking external zymosan particles. The optical density (OD) of each sample was measured at 405 nm in a plate reader (FLUOstar Omega, BMG LABTECH, Ortenberg, Germany). The resulting mean values ± SEM were established among equally treated samples and compared to microglia not exposed to zymosan. N = 6 cell culture wells per condition from at least two independent experiments (cell culture preparations) were included in the analyses.
IGF1-ELISA
Insulin-like growth factor 1 (IGF1) was measured in the supernatant of microglia using the rat IGF1 Quantikine ELISA Kit (Cat#MG100, R&D systems, Minneapolis, Canada). Experiments were conducted according to the manufacturer’s protocol. The OD of each sample was measured at 450 and 570 nm in a plate reader (FLUOstar Omega, BMG LABTECH, Ortenberg, Germany), and cytokine concentrations of the samples were calculated based on standard curves. Mean values ±SEM were established among equally treated samples. N = 12 cell culture wells per condition from at least two independent experiments (cell culture preparations) were included in the analyses.
Statistical analyses
Descriptive statistics were performed with Graph Pad Prism (GraphPad Software Inc.). For comparison of multiple groups, one-way analysis of variance (ANOVA) and Dunnet’s or Tukey’s post hoc tests were performed with the same software. Statistical significance was set at the < 5% level (p < 0.05).
Results
Microglia after OGD or aglycemia
The cells were exposed to 30 min of either OGD or aglycemia alone to investigate the direct effects of metabolic stress on microglia. Afterwards, they were allowed to recover for 20 h at normoglycemic and normoxic conditions (Fig. 1a). Metabolic stress for 30 min did not affect microglia viability, while OGD at a longer duration of 45 min led to significantly increased cell death (Additional file 1: Figure S1A). Microglia function after metabolic stress was assessed by phagocytosis assay, revealing no significant change in phagocytic activity between the stressed groups and unstressed controls (Fig. 1a). Remarkably, microglia exposed to OGD or aglycemia significantly reduced the production of IGF-1 as an anti-inflammatory cytokine, compared to unstressed controls (Fig. 1c). However, iNOS production as a pro-inflammatory marker was not affected by OGD or aglycemia, neither on the protein level, as detected by immunocytochemistry (zero to one iNOS+ cells were found in the three conditions, due to the low amount no further quantification was carried out) (Fig. 1d), nor on the RNA level, as detected by qPCR (Fig. 1e). Further quantification of pro- and anti-inflammatory markers by qPCR revealed no changes in the mRNA expression of TNFα, IL-6, IL1-β, IL-10, and CD 206 upon OGD or aglycemia (Fig. 1e).
Microglia after preconditioning with metabolic stress, exposed to a strong inflammatory stimulus
The microglia were exposed to 30 min of either OGD or aglycemia and then allowed to recover for 20 h at normoglycemic and normoxic conditions to examine the preconditioning effects of a metabolic stress before a strong inflammatory stimulus. The latter was induced by exposure to 10 ng/ml of LPS for 4 h (Fig. 2a). LPS-treated microglia without preconditioning served as controls. A phagocytosis assay assessed the microglia function after metabolic preconditioning and subsequent LPS stimulation. There was no significant change in phagocytotic activities between the preconditioned groups and non-preconditioned controls (Fig. 2b). However, metabolic preconditioning reduced IGF-1 levels significantly compared to non-preconditioned controls (Fig. 2c). Interestingly, total IGF-1 production was similar between untreated and LPS-treated controls. By contrast, there were less iNOS+ cells after preconditioning with either OGD or aglycemia, compared to non-preconditioned microglia (unstressed + LPS 5.6% iNOS + cells/total cell count +/− 2.4% SEM, OGD + LPS 1.8% iNOS + cells/total cell count +/− 0.5% SEM, aglycemia + LPS 2.0% iNOS + cells/total cell count +/− 0.6% SEM) (Fig. 2d). Quantification of pro- and anti-inflammatory markers by qPCR for mRNA levels of iNOS, TNFα, IL-6, IL1-beta, IL-10, and CD 206 revealed a significant downregulation of the pro-inflammatory markers iNOS and IL-6 after preconditioning. The anti-inflammatory marker IL-10 was also significantly reduced after preconditioning. The other pro-inflammatory markers TNFα and IL-1β were reduced only by trend after preconditioning, while CD206 levels remained unaffected (Fig. 2e).
Effects of metabolically stressed neuronal/glial co-culture supernatant on microglia
To create a neuronal/glial co-culture as an “in vitro brain model,” primary NSC were differentiated for 14d (Fig. 3b). Co-cultures were exposed to metabolic stress by OGD or aglycemia, respectively (Fig. 3a). To determine the optimal duration of OGD on this co-culture system and under the attempt of mimicking cerebral ischemia, durations of 30 and 60 min of OGD were investigated. After 30 min of OGD, slight morphological changes were detected, while after 60 min of OGD, cell death occurred (Additional file 2: Figure S2A). Thirty minutes resp. 60 min of OGD did not alter the proportions of GFAP+ astrocytes and TuJ1+ neurons (Additional file 2: Figure S2B and S2C). Hence, either 30 min of OGD or aglycemia were chosen for all following experiments. After OGD or aglycemia, cells were allowed to recover for 20 h in their standard culture medium at normoxic and normoglycemic conditions. Then the medium was collected.
To investigate the crosstalk between neurons/glia and microglia, the microglia were exposed to conditioned medium (CM) from neuronal/glial co-cultures after OGD (OGD-CM), aglycemia alone (aglycemia-CM) or without exposure to metabolic stress (unstressed-CM). Afterwards, microglia were allowed to recover for 20 h at normoglycemic and normoxic conditions (Fig. 3a).
The number of viable microglia was unaffected by exposure to CM of neuronal/glial co-cultures, regardless of previous exposure to metabolic stress (Additional file 1: Figure S1B). Microglia morphology after 24 h of incubation in either medium or CM of the different conditions as assessed by Iba1 staining was unaffected (Fig. 3c). IGF-1 production as an anti-inflammatory marker was measured in the cell supernatant by ELISA and was unaltered in microglia exposed to CM from neuronal/glial co-cultures that had experienced metabolic stress (Fig. 3d). Quantification of pro- and anti-inflammatory markers was performed by qPCR for mRNA levels of iNOS, TNFα, IL-6, IL1-β, IL-10, and CD 206, and results were normalized to controls treated with unstressed-CM. Likewise, OGD-CM and aglycemia-CM did not affect expression levels of these inflammatory markers from microglia (Fig. 3e).
Microglia preconditioned by crosstalk with metabolically stressed neuronal/glial co-cultures respond to a subsequent inflammatory stimulus
We next examined whether the secretome of metabolically stressed brain cells transferred to microglia by soluble factors in the medium would affect the response of microglia to a subsequent inflammatory stimulus. Microglia were exposed to CM of neuronal/glial co-cultures metabolically stressed either by OGD (OGD-CM) or aglycemia (aglycemia-CM). Microglia incubated with medium from unstressed neuronal/glial co-cultures (unstressed-CM) served as controls. Afterwards, microglia were stimulated with 10 ng/ml of LPS for 4 h (Fig. 4a). Microglia morphology was assessed by Iba1-staining. There were no morphological changes between the different conditions (Fig. 4b). There was a trend of increase in IGF-1 levels after treatment with CM + LPS as measured by ELISA (Fig. 4c). Quantification of pro- and anti-inflammatory markers by qPCR for mRNA levels of iNOS, TNFα, IL-6, IL1-β, IL-10, and CD 206 revealed significant upregulation of the pro-inflammatory markers iNOS, IL-6, and IL1-β after unstressed CM + LPS, compared to LPS alone. Results were normalized to microglia without CM and LPS treatment. Treatment with OGD-CM and aglycemia-CM led to a significant reduction of iNOS, IL-6, and IL1-β (the latter after aglycemia-CM only). For TNFα, only OGD-CM + LPS led to a significant upregulation compared to LPS treatment alone. IL-10 was regulated with similar dynamics as the proinflammatory cytokines, with an upregulation after unstressed-CM + LPS and a downregulation after OGD-CM + LPS. All CM conditions led to an upregulation of CD 206 (Fig. 4e). Additionally, the phagocytosis marker CD68 was measured. There were no significant differences in CD68 mRNA levels between microglia treated with LPS alone and microglia treated with the different CM conditions + LPS ((Fig. 4d).
Discussion
Under the hypothesis that a crosstalk between microglia and other cells of the brain is essential to microglia activation and polarization, and that microglia “memorize” this crosstalk, resulting in divergent responses to subsequent stimuli, we used an in vitro model of cerebral ischemia, i.e., oxygen-glucose deprivation (OGD), to investigate direct and indirect effects of this metabolic stress on microglia and their ability to respond to a robust inflammatory stimulus.
Interestingly, metabolic stress by OGD or aglycemia alone did not affect primary microglia function or their expression of inflammatory markers. In the literature, pro-inflammatory effects of OGD on primary microglia in culture have been described [14, 15], albeit sometimes in a shallow range [16] and with a heterogeneous response of different pro-inflammatory markers [17]. In line with our results, another study also did not observe significant changes in inflammatory markers in primary microglia after OGD [18]. Taken together, literature data on microglia OGD is contradictory, which may be attributed to the heterogeneity of primary microglia and methodical differences in the OGD setting [14–18] as well as species differences [19]. Studies on aglycemia in microglia are scarce, and thus far only two studies focused on this topic, finding an increased pro-inflammatory response of microglia after aglycemia [20, 21]. Given the resistance of microglia to metabolic stress by OGD or aglycemia, we further tested if ischemic resp. aglycemic preconditioning altered the response to a subsequent robust inflammatory stimulus. In microglia, such a strong inflammatory stimulus can be achieved by LPS stimulation [2]. Results show that both OGD and aglycemia alter microglia to release less pro-inflammatory cytokines in response to LPS as a “second-hit” stimulus. Interestingly, the release of the anti-inflammatory cytokine IL-10 was also reduced after preconditioning, while CD206 levels remained unaffected.
Preconditioning describes the induction of tolerance by a first mild stimulus against a later stronger stimulus. The concept of ischemic preconditioning is well accepted for neurons, astrocytes, and microglia [22–28]. The idea of beneficial preconditioning has been translated to the in vivo situation of experimental stroke (for a review, see [29]). Even in the situation of human stroke, preconditioning phenomena may occur [30, 31]. Non-ischemic preconditioning with LPS also reduces sensitivity to a subsequent ischemic event [32, 33]. Furthermore, non-ischemic preconditioning with pharmacological agents such as isoflurane, hypo- and hyperthermia, or caloric restriction has been described [34]. Effects of preconditioning are acutely mediated via DAMP and TLR4. Moreover, transient downregulation of the innate immune system has been reported [32, 35]. In microglia, IFN signaling has been attributed to ischemic tolerance [26]. However, to the best of our knowledge, this is the first report describing that ischemic preconditioning also vice versa reduces the sensitivity to a LPS stimulus, in line with a “second hit” injury. Additionally, transient aglycemia is capable of inducing preconditioning.
Unlike conditions in vivo, culturing microglia in the absence of other cells of the central nervous system (CNS) is far from the physiological situation [36]. For this reason, we here investigated how crosstalk from other brain cells—whether unstressed or after the experience of metabolic stress—affected microglia. Interestingly, we found that the preconditioning effects of metabolic stress were transferred from a neuronal/glial co-culture to microglia by soluble factors in the conditioned medium. However, this crosstalk alone did not activate or change microglia (cf. Fig. 3) but increased their responsiveness to a subsequent inflammatory LPS stimulus (cf. Fig. 4). Several reports described a proinflammatory activation of microglia by treatment with CM from neurons that underwent OGD [37–40], CM from endothelial cells after OGD [18], or microglia in a neuronal-microglia co-culture [41]. In contrast, the CM of OGD-pretreated astrocytes induces a mostly anti-inflammatory phenotype in microglia [18, 42]; however, a recent study also described the induction a proinflammatory phenotype [43]. In our mixed neuronal/glial co-culture, effects of OGD on neurons could have been cleared by astrocytes [28, 44] or anti-oxidative mechanisms could have been induced reciprocally [45]. Thus, we propose that our mixed neuronal/glial co-culture is much closer to an “in vitro model of the brain” than an isolated neuron culture.
The “M2” markers CD 206, IL-10, and IGF-1 showed a heterogenous response throughout the experiments. While IL-10 dynamics were comparable to the M1 markers, IGF-1 and CD 206 showed specific changes. The latter is in line with previous findings from our group showing diverging dynamics of M2-markers in vivo after experimental stroke [46]. IGF-1 was reduced after OGD and aglycemia without any influence of additional LPS stimulation. IGF-1 is an important neurotrophic growth factor mainly produced by microglia [47]. Chronic neuroinflammation leads to a suppression of IGF-1 [48, 49]. Therefore, reduced levels of IGF-1 due to metabolic stress in the form of OGD or aglycemia may lead to the reduction of trophic support. However, acute inflammation in the form of a LPS stimulus did not affect IGF-1 levels. This points to the fact that M2 markers represent a large scale of different effectors and cannot be compared directly [3].
Interestingly, the two models of metabolic stress chosen here, OGD and aglycemia, were quite comparable in their effects, which may suggest that their effects result from the metabolic stress rather than the hypoxia. In contrast to the study of Choi et al., we here observed similar responses of microglia to OGD and aglycemia [20]. Encompassing their study, we examined several pro-inflammatory and anti-inflammatory markers on microglia. Unlike the study of Churchward et al., we did not study a simultaneous LPS stimulus during aglycemia, but studied the influence of LPS 24 h after aglycemia [21]. While Churchward et al. found a boost of the proinflammatory response during simultaneous aglycemia/LPS stimulation, we instead observed a pre-conditioning effect of aglycemia on a subsequent—but independent—LPS stimulus.
Taken together, metabolic stress in the form of OGD or aglycemia elicits a specific microglia signature characterized by a decreased inflammatory response to subsequent inflammation. This effect can be evoked by metabolic stress not only directly applied to microglia, but also indirectly by mediation through other cells of the brain via soluble factors.
Conclusions
Data suggest a specific microglia signature in response to ischemic and aglycemic preconditioning and a subsequent inflammatory stimulus.
Supplementary information
Acknowledgements
We thank Mrs. Claudia Drapatz for the excellent technical assistance.
Abbreviations
- ANOVA
One-way analysis of variance
- CM
Conditioned medium
- CNS
Central nervous system
- iNOS
Inducible nitrite oxygen synthesis
- LPS
Lipopolysaccharides
- OD
Optical density
- OGD
Oxygen-glucose deprivation
- RT-qPCR
Real-time quantitative PCR
Authors’ contributions
MR performed the cell culture experiments, the immunocytochemical stainings, the PCR analyses, the ELISAs, and the statistical analyses and drafted the manuscript. SUV and SB helped with the cell cultures. HLW and AL helped with the immunocytochemical stainings. GRF participated in the design and coordination of the study and critically revised the manuscript. MAR and MS conceived of, designed, and coordinated the study, helped with the statistical analyses, and finalized the manuscript. All authors read and approved the final manuscript.
Funding
This research work was supported by grants of the Faculty of Medicine, University of Cologne, Germany (‘Köln Fortune Program’ #345/2018 to S.U.V, research rotation to M.R.), the Holters-Rüth-Stiftung (to M.R.), and the Marga- and Walter-Boll-Stiftung (to M.S. and M.A.R., #210-10-15).
Availability of data and materials
The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
All animal procedures followed the German Laws for Animal Protection and had been approved by the local animal care committee (Tierschutz-Beauftragte University of Cologne) and local governmental authorities (LANUV NRW, AZ 4.16.021).
Consent for publication
Not applicable
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Maria Adele Rueger and Michael Schroeter contributed equally to this work.
Supplementary information
Supplementary information accompanies this paper at 10.1186/s12974-020-1697-8.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.