Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2020 Nov 1.
Published in final edited form as: Toxicol Appl Pharmacol. 2019 Sep 12;382:114749. doi: 10.1016/j.taap.2019.114749

Lipidomes of brain from rats acutely intoxicated with diisopropylfluorophosphate identifies potential therapeutic targets

Jun Yang 1, Donald A Bruun 2, Chang Wang 1,3, Debin Wan 1, Cindy B Reynolds 1, Kenny Phu 1, Bora Inceoglu 1, Pamela J Lein 2, Bruce D Hammock 1,*
PMCID: PMC6957308  NIHMSID: NIHMS1544217  PMID: 31521729

Abstract

Organophosphates (OPs), a class of phosphorus-containing chemicals that act by disrupting cholinergic transmission, include both toxic and fast-acting chemical warfare agents as well as less toxic but more easily accessible OP pesticides. The classical atropine/2-PAM antidote fails to protect against long-term symptoms following acute intoxication with OPs at levels that trigger status epilepticus. Acute OP intoxication also causes a robust neuroinflammatory response, which is implicated in the pathogenesis of long-term effects. In this study, we characterized the profiles of lipid mediators, important players in neuroinflammation, in the rat model of acute DFP intoxication. The profiles of lipid mediators were monitored in three different regions of the brain (cortex, hippocampus, and cerebellum) at 0, 1, 3, 7, 14, and 28 days post-exposure. The distribution pattern of lipid mediators was distinct in the three brain regions. In the cerebellum, the profile is dominated by LOX metabolites, while the lipid mediator profiles in cortex and hippocampus are dominated by COX metabolites followed by LOX and CYP 450 metabolites. Following acute DFP intoxication, most of the pro-inflammatory lipid mediators (e.g., PGD2 and PGE2) increased rapidly from day 1, while the concentrations of some anti-inflammatory lipid mediators (e.g. 14,15 EpETrE) decreased after DFP intoxication but recovered by day 14 post-exposure. The lipidomics results suggest two potential treatment targets: blocking the formation of prostaglandins by inhibiting COX and stabilizing the anti-inflammatory lipid mediators containing epoxides by inhibiting the enzyme soluble epoxide hydrolase (sEH).

Keywords: DFP, regulatory lipid mediators, lipidomics, COX, sEH

Introduction

Organophosphates (OPs) are a class of phosphorus-containing chemicals that disrupt cholinergic transmission by inhibiting acetylcholinesterase (AChE), an enzyme that catalyzes the hydrolysis of the neurotransmitter acetylcholine (ACh) and terminates impulse transmission at cholinergic nerve synapses (13). This group of chemicals includes the OP warfare agents, which are both toxic and fast acting as well as the generally less toxic OP pesticides. Acute intoxication with the OP warfare agents and a subset of the OP pesticides can trigger convulsions that progress to lifethreatening status epilepticus (SE), and survivors face significant, long-term morbidity including mild-to-severe memory loss, affective disorders and recurrent seizures (4, 5). Current medical countermeasures (atropine, 2-PAM, and high dose diazepam or midazolam) can reduce mortality in exposed individuals, but they do so with significant side effects and are maximally effective only if administered within minutes of exposure (68).

The OP diisopropylfluorophosphate (DFP) is toxicologically and structurally similar to the OP warfare agents soman and sarin and is considered a credible threat agent (9). Previously we have shown that rats acutely intoxicated with DFP at levels that triggered SE displayed significant neuroinflammation including astrogliosis and microglial activation that was evident within hours following administration and still persisted at 2 months post-exposure (1, 2, 10, 11). Neuroinflammation has been implicated in the pathogenesis of persistent neurologic deficits associated with OP-induced SE (1214). Regulatory lipid mediators are a class of lipid mediators derived from polyunsaturated fatty acids through three major metabolic pathways mediated by cyclooxygenase (COX), lipoxygenase (LOX) and cytochrome P450 enzymes (15). These lipid mediators regulate many important pathophysiological processes, including inflammation (15).

The characterization of these lipid mediators provides insight at the molecular level to understand how DFP induces neuroinflammation through changes in lipid mediators (1518).

In this study, we profiled lipid mediators in the cortex, hippocampus, and cerebellum of rats at day 0, 1, 3, 7, 14, 21 and 28 after acute intoxication with DFP at levels that produced robust seizure activity. The spatiotemporal profiles of prostaglandins and epoxy fatty acids suggest potential targets for developing effective therapeutic approaches to treat neuroinflammation induced by acute OP intoxication.

Methods

Animals

Animals were maintained in facilities fully accredited by the Association for Assessment and Accreditation of Laboratory Animal Care, and all studies were performed with regard for alleviation of pain and suffering under protocols approved by the UC Davis Institutional Animal Care and Use Committee. Adult male Sprague Dawley rats (8 weeks old; 250–280 g; Charles River Laboratories, Hollister, CA) were housed individually in standard plastic cages under controlled environmental conditions (22 ± 2°C, 40–50% humidity) with a normal 12 h light/dark cycle. Food and water were provided ad libitum. All animals were allowed to acclimate for 7 d prior to initiation of experiments.

Dosing

Prior to use, DFP (Sigma-Aldrich, Saint Louis, MO) was determined to be >97% pure using previously published 1H−, 13C, 19F and 31P-NMR methods (19). DFP was aliquoted and stored at −80 °C, conditions under which DFP is stable for at least 400 days (20). At the beginning of each exposure day (~8:00 AM), rats were randomly divided into either DFP or vehicle (VEH) groups using a random number generator. All animals were pretreated with 0.1 mg/kg pyridostigmine bromide (TCI America, Portland, OR, USA) in sterile isotonic saline (im) 30 min prior to injection of either DFP or VEH. DFP was prepared in sterile, ice-cold phosphate buffered saline (PBS, 3.6 mM Na2HPO4, 1.4 mM NaH2PO4, 150 mM NaCl, pH 7.2) within 5 min of administration at 4 mg/kg, sc. VEH animals received an equivalent volume (300 μl) of sterile PBS. Within 1 min, both DFP and VEH animals were administered atropine sulfate (2 mg/kg, Sigma-Aldrich) and 2-pralidoxime (2-PAM, 25 mg/kg, Sigma-Aldrich) in sterile saline in a combined im injection to prevent lethality in DFP animals from peripheral cholinergic symptoms (1). Seizure behavior was continuously monitored for 4 h after DFP injection and scored using a modified Racine scale as previously described (11). Briefly, seizure behavior was scored at 5 min intervals from 0 to 120 min and every 20 min from 120–240 min post-DFP injection using a 5-point scale in which 0 = no behavioral abnormalities; 1 = cholinergic symptoms (salivation, lacrimation, urination, defecation); 2 = tremors and muscle fasiculations; 3 = forelimb clonus; 4 = rearing with forelimb clonus; and 5 = rearing and falling. At the end of the 4 h monitoring period, all DFP animals were administered 10 ml of 5% dextrose in sterile saline (sc, Baxter Healthcare Co., Deerfield, IL, USA), returned to their home cages and given soft chow until they resumed normal consumption of water and solid food (21).

Tissues were collected at 1, 3, 7, 14 and 25–31 days post-exposure with an n=5–8/group. 2–3 vehicle animals were collected at each timepoint. At euthanasia, rats were deeply anesthetized with 5% isoflurane in oxygen. Blood was collected into EDTA tubes via cardiac puncture for plasma for analysis before perfusing the animals with cold PBS. The brains were removed and rapidly dissected on ice into hippocampus, cortex, and cerebellum. These brain tissues were snap frozen in liquid nitrogen prior to storage at −80 °C until further analysis.

Extraction

The extraction process is similar to the plasma protocol as described in a previously published paper (5). 10 μL of deuterated internal standard solution, a mixture of d4 PGF1α, d4 TXB2, d4 PGE2, d4 LTB4, d11 14,15 DiHETrE, d6 20 HETE, d8 9 HODE, d8 5 HETE, d11 11,12 EpETrE (Cayman Chemical, Ann Arbor, MI) was added to approximately 100 mg each of hippocampus, cortex and cerebellum. 400 μL of cold methanol with 0.1% of acetic acid and 0.1% of butylate hydroxytoluene, BHT (Sigma-Aldrich, St. Louis, MO) solution was added to these tissue samples and stored at −80 °C for 30 min. After freezing, samples were homogenized using Retsch MM301 ball mills (Retsch Gmbh, Germany) at 30 Hz for 10 min and then kept at −80 °C overnight. The homogenates were centrifuged at 16,000 g for 10 min, the supernatants were collected, and remaining pellets were washed with 100 μL of ice-cold methanol with 0.1 % of acetic acid and 0.1% of BHT and centrifuged at 16,000 g for 10 min. The supernatants of each sample were combined and diluted with 2 mL of H2O and loaded onto Waters Oasis HLB 3cc (Waters, Milford, MA) solid phase extraction (SPE) cartridges. The final concentrations of internal standards are 100 nM, which were obtained by spiking 10 uL of 500 nM solutions before extraction. The recovery rate combined with the matrix effects ranges from 40%–100%.

LC/MS/MS method

The regulatory lipid mediators were measured on a 1200 SL ultra-highperformance liquid chromatography (UHPLC) (Agilent, Santa Clara, CA) interfaced with a 4000 QTRAP mass spectrometer (Sciex, Redwood City, CA). The separation conditions for LC were optimized to separate the critical pairs of regulatory lipid mediators, which share the same multiple reaction monitor (MRM) transitions. In brief, separation was achieved on an Agilent Eclipse Plus C18 150 × 2.1 mm 1.8 um column with mobile phases of water with 0.1% of acetic acid as mobile phase A and acetonitrile/methanol (84/16) with 0.1% of acetic acid as mobile phase B. The detailed separation gradient is listed in Table S1. All the parameters on the mass spectrometer were optimized with pure standards (purchased from Cayman Chemical, Ann Arbor, MI) under negative mode. The schedule MRM scan mode was employed to increase the sensitivity of the measurement. All the conditions of LC and mass spectrometry are shown in Table S1.

Data Analysis

The multivariate data analyses such as partial least square discriminant analysis (PLS-DA) and Heatmap were performed using MetaboAnalyst 3.0 (www.metaboanalyst.ca/) and JMP 13 pro (SAS). Data were centered and auto-scaled before the analyses.

Results

Rats were monitored for seizure activity during the first 4 h post DFP injection. Seizure severity scores were quantified as previously described (11), and the individual seizure scores for each animal collected at 5 min intervals from 0 to 120 min and every 20 min from 120–240 min post-DFP injection are provided in the supplemental materials (Table S2). Seizure severity was determined as the average seizure score for each animal over the 4 h monitoring period. Based on our previous studies seizure behavior scored as ≥3.0 is consistent with electroencephalographic evidence of seizure activity. All DFP-exposed animals included in this study exhibited seizure behavior consistent with status epilepticus (e.g., seizure scores ≥3.0 for more than 5 min) and amongst DFP-intoxicated animals, the mean average seizure score and SD was 2.50 ± 0.48. Collectively, we monitored 31 regulatory lipid mediators in all three brain tissues from both the DFP and Vehicle group. As shown in Figure 1, These regulatory lipid mediators include the metabolites of the COX, LOX and cytochrome P450 enzymes derived from arachidonic acid (ARA), docosahexaenoic acid (DHA) and linoleic acid (LA). These lipid mediators showed very different patterns in different regions of brain in a time dependent manner after induction of inflammation by DFP. The full dataset is provided in the supplementary table S3. Since there are 31 lipid mediators detected, in the followed discussion, we described the overall distribution or pattern first and discussed the interested individual lipid mediators after it.

Figure 1.

Figure 1.

The regulatory lipid mediators detected in rat brain tissues are derived from arachidonic acid (A), linoleic acid (B) and docosahexaenoic acid.

Region-specific effects of acute DFP intoxication on regulatory lipid mediators in the brain

The composition of regulatory lipid mediators in different regions (i.e. cortex, hippocampus, and cerebellum) of the brain on day 1 are represented in Figure 2AC.

Figure 2.

Figure 2.

The relative abundance of regulatory lipid mediators detected in three brain regions: cortex (A), hippocampus (B), cerebellum (C) at one day after acute DFP intoxication shows distinct responses between the different brain regions. The relative ratios (D) of 31 lipid mediators in hippocampus (up) and cerebellum (bottom) to cortex further describes the distinct responses in quantitative manner.

The most abundant lipid mediators in the cortex are 11 HETE, PGF2a, PGD2, 15 HETE, 7,8 EpDPE (Figure 2A). The hippocampus (Figure 2B) has more prostaglandins as a percentage of the total detected lipid mediators than either the cortex or the cerebellum. Approximately 50% of the metabolites in the hippocampus are derived from the COX pathway compared to 40% in the cortex. The predominant metabolites in the cerebellum include LOX metabolites, especially 12 HETE, 13 HODE, 9 HODE and EKODE and epoxides, such as EpDPEs and EpETrEs.

The relative abundance of these lipid mediators in three different brain regions is shown in Figure 2D. In hippocampus, 26 out of 31 lipid mediators have higher concentration than their concentrations in cortex. All the five lipid mediators with lower concentration are the diols that are the metabolites of sEH. In contrast, in cerebellum, only 7 out of 31 lipid mediators have higher concentration than their concentration in cortex. Five of these seven lipid mediators are diols. In addition, the cerebellum shows a much lower percentage of COX metabolites (6 keto PGF1α, TXB2, PGF2α, PGE2, PGD2) compared to either the cortex or the hippocampus.

Temporal change of the lipid mediators varies by brain region

The temporal profile of changes in these lipid mediators following acute DFP intoxication also varies in the different regions of the brain. Figure 3a shows a Hierarchy Cluster Analysis (HCA) plot based on the concentrations of regulatory lipid mediators in the cortex. The same analyses were done for hippocampus and cerebellum shown in supplementary Figure 1 A and B. There are small differences among the three tissues, but the whole trends are the same. The lipid mediators clearly clustered into several different groups roughly reflecting the pathway of their metabolism. In general, all the pro-inflammatory lipid mediators including 6 keto PGF1a (stable surrogate of PGI2), 11 HETE, 15 HETE, PGD2, PGF2α, PGE2 clustered together. The epoxides from DHA and ARA, which are considered as anti-inflammatory lipid mediators, clustered together. The diols, including DHETs and 5 HETE, 12 HETE, 8 HETE, HODEs and EpOMEs, are close to each other. These lipid mediators also show similar temporal change as well. For example, PGE2 and other pro-inflammatory lipid mediators, including PGD2, and PGF2α, are increased on days 1 and 3 after DFP intoxication, and then decrease in concentration on subsequent days post-exposure. In contrast, the epoxides from ARA are initially decreased after DFP intoxication but then recover to higher concentrations at days 7 and 14 post-exposure.

Figure 3.

Figure 3.

Hierarchy Cluster Analysis (HCA) based on concentrations of regulatory lipid mediators in the cortex of vehicle control and DFP animals at days 1, 3, 7, 14 and 28 post-exposure suggests six different groups of lipid mediators with similar temporal change after intoxication of DFP. The heatmap (Figure 3A) shows that one group of them includes 6 keto PGF1a (surrogate of PGI2), 11 HETE, 15 HETE, PGD2, PGF2α and PGE2. This group of lipid mediators are well known as pro-inflammatory lipid mediators. Another group of lipid mediators includes the epoxides from arachidonic acid and DHA, known as the anti-inflammatory lipid mediators. The temporal profile of selected lipid mediators (Figure 3B) based on the same data set (n=4–8) clearly shows that acute DFP intoxication induces the proinflammatory lipid mediators while decreasing the anti-inflammatory lipid mediator, 14,15 EpETrE.

In order to show clear trends in temporal changes, we plotted the concentrations of representative lipid mediators derived from arachidonic acid against the time after DFP challenge in Figure 3B. Some of these lipid mediators, such as PGE2, PGF2α and some of the LOX (lipoxygenase) metabolites (e.g. 15 HETE), respond very quickly with concentrations increasing immediately after DFP intoxication, peaking at day 1 and declining thereafter. There are some lipid mediators that exhibit a slower recovery response, such as TXB2 (stable surrogate in vivo for TXA2) and 6 keto-PGF1α (the stable surrogate in vivo for PGI2α), which peaked in concentration on day 3 or day 7 post-exposure. Most of these lipid mediators are pro-inflammatory, which respond rapidly to the insult in the first few days post-exposure and then recover by 14 days post-exposure. In contrast, another class of lipid mediator, metabolites of the P450 pathway, show a very different profile. For example, the concentrations of 14,15 EpETrE decreased at day 1 and began to recover at day 7 post-exposure.

Multivariate data analyses of regulatory lipid mediator profiles

One of the major advantages of lipidomics study is to utilize the multivariate data analysis to provide a more holistic visualization of the changes and interactions of the lipid mediators. In the followed sections, we implemented partial least square discriminant analysis (PLS-DA) to identify the potential biomarkers correlated to the different treatment and time points; implemented hierarchy cluster analysis (HCA) to group lipid mediators according to the association of the treatment and time points as well as to visualize the temporal change of the lipid mediators as a whole. The results shown below are based on the data of cortex. The same analyses were also implemented for hippocampus and cerebellum data. The results are shown in Supplementary Figure 2.

Figure 4 shows the results from PLS-DA based on data from the cortex. PLS-DA is a statistical method that creates a linear regression model to find the relationships between the variables (lipid mediators here) and observation’s classes (treatment, time points etc.) (2225). As shown in the score plot (Figure 4A), there are similar trends that can be found in inflammatory status: the profiles at day 1 post-intoxication are farthest from the vehicle group, and slowly shift back toward the vehicle control over the 28 days following DFP exposure; although profiles do not fully return to that of the vehicle control group. The Variable Importance in Projection (VIP) score (Figure 4B), which describes a quantitative estimation of the discriminatory power of each individual feature, implies that 11 HETE, PGF2α, PGD2, 15 HETE, PGE2 are the major lipid mediators driving the difference shown in the score plot (Figure 4A).

Figure 4.

Figure 4.

The score plot (A) of the Partial Least Square Discriminant Analysis (PLS-DA) based on cortex data shows the regulatory lipid mediators profile tracks well with the inflammatory status. The Variable Importance in Projection (VIP) score (B) indicates the relative importance of the regulatory lipid mediators to differentiate the different time points.

Figure 5 shows a heatmap (HCA) correlation coefficient among the lipid mediators based on the lipidomic profiles of cortex at different days post-exposure. It clearly shows there are several different categories of lipid mediators that follow the same trends after acute DFP intoxication. The two strongest correlation categories are: (1) the epoxides derived from arachidonic acid and docosahexaenoic acid (DHA); and (2) the main COX metabolites (6 keto PGF1a, PGD2, PGF2α, PGE2) and 15 HETE, 11 HETE.

Figure 5.

Figure 5.

The heatmap based on the correlation coefficient of regulatory lipid mediators reveals the similarity among them.

The heatmaps based on representative lipid mediators at different days are built to visualize the temporal change of these lipid mediators. Figure 6 shows the heatmap on days 1, 3, 7 14 and 21 post-exposure based on data from cortex tissue. Consistent with Figure 5, which is based on the data at all the time points, the lipid mediators derived from COX are highly correlated with each other and the epoxy fatty acids are correlated with each other. One intriguing finding is the negative correlation between epoxy fatty acids and their corresponding diols that appeared at day 3 post-intoxication and reached the highest negative correlation at day 7 post-exposure. Since several studies implicate the sEH protein as an inflammatory marker (8,9), these data suggest that the sEH, the enzyme that degrades epoxy fatty acids was induced at day 3 and peaked at day 7.

Figure 6.

Figure 6.

The heatmap based on correlation coefficient of selected regulatory lipid mediators at different time points illustrated the distinct dynamic pattern change of different lipid mediators.

Discussion

Here, we report the spatiotemporal profiles of lipid mediators in the rat brain following acute intoxication with DFP. These lipid mediators are a class of signaling molecules (15, 2629). Enzymes such as COX that are involved in the metabolism pathways of these lipid mediators have been identified as targets for many diseases (3032). Characterizing the spatiotemporal changes in lipid mediator levels induced by acute DFP intoxication complements previous efforts to characterize the neuropathological changes in this model using other methods (1, 2, 10,11). Moreover, the data from this study may suggest potential targets for therapy.

Table 1 lists the changes in representative lipid mediators in the three different regions, the cortex, hippocampus and cerebellum throughout the time course of the experiment. The proinflammatory PGE2 shows very similar trends in both the cortex and hippocampus, which has the highest peak on Day 1, indicating that the inflammation was induced immediately following DFP intoxication. The hippocampus has the highest concentration of PGE2, followed by levels found in the cortex. Contrary to this, the concentration of PGE2 in the cerebellum is about 50 times lower with negligible change following DFP exposure. Previously, we demonstrated using classic histopathologic techniques that glial fibrillary acidic acid (GFAP), a biomarker of activated astrocytes, and IBA-1, a biomarker of microglia, increased significantly in the hippocampus, piriform/entorhinal cortex and dorsolateral thalamus of rats acutely intoxicated with DFP ((2, 11) Additional studies using PET imaging of [11C]-(R)-PK11195, a ligand for the 18-kDa mitochondrial membrane translocator protein (TSPO), similarly showed that acute DFP intoxication rapidly triggered neuroinflammation in the hippocampus and cortex that persisted at 1 month post-exposure (12). The distribution of PGE2 as well as other prostaglandins in this study is consistent with the neuroinflammation induced by DFP. Moreover, a previous report about COX1 and COX2 distribution suggested the induction of COX2 expression was higher in hippocampus and cortex than cerebellum after DFP intoxication (13). This might explain why we observed higher levels of prostaglandins in the hippocampus and cortex than in the cerebellum. In contrast, we did not notice such large difference in the distribution among different brain regions for other lipid mediators derived from cytochrome P450 and LOX pathways.

Table 1.

The time profiles of selected regulatory lipid mediators in three different brain regions (cortex, hippocampus and cerebellum) show distinct patterns. The data were shown in mean ± SE. * means there is statistical significance between the value and the vehicle (p < 0.05) according to t-test result.

Metabolites Cortex Hippocampus Cerebellum
PGE2 graphic file with name nihms-1544217-t0007.jpg graphic file with name nihms-1544217-t0008.jpg graphic file with name nihms-1544217-t0009.jpg
15 HETE graphic file with name nihms-1544217-t0010.jpg graphic file with name nihms-1544217-t0011.jpg graphic file with name nihms-1544217-t0012.jpg
12 HETE graphic file with name nihms-1544217-t0013.jpg graphic file with name nihms-1544217-t0014.jpg graphic file with name nihms-1544217-t0015.jpg
14,15 EET graphic file with name nihms-1544217-t0016.jpg graphic file with name nihms-1544217-t0017.jpg graphic file with name nihms-1544217-t0018.jpg
14,15 DHET graphic file with name nihms-1544217-t0019.jpg graphic file with name nihms-1544217-t0020.jpg graphic file with name nihms-1544217-t0021.jpg

Note: All the measurements in significant changed groups passed the normality test (Shapiro-wilk test) except 15 HETE 28 days group.

Another interesting finding is the temporal change of 14,15 EpETrE. The concentrations of 14,15 EpETrE decreased at day 1 and remained at a low concentration from day 1 to day 3, then began to recover after day 7. The change of 14,15 EpETrE shows the opposite trends of PGE2. EpETrEs have been shown to be anti-inflammatory or inflammation resolving lipid mediators in several studies (1417). A recent study shows that EpETrEs have a critical role in monocyte lineage recruitment and resolution during inflammation (16).

Both temporal changes of these pro-inflammatory lipid mediators (PGE2, PGD2, etc.) and the anti-inflammatory lipid mediators (EpETrEs) suggests that lipid mediators might contribute coordinately to the neuroinflammation induced by DFP. As a countermeasure, it is attractive to modulate these lipid mediators by inhibition of COX2 and/or inhibition of sEH to treat the neuroinflammation induced by DFP. Inhibitors including NSAID have been widely studied in neuroinflammation research (1820). The inhibition of sEH has also been shown to be a promising treatment for many diseases with a neuroinflammatory component (2123). Recent publications on neuroinflammatory mechanisms of brain disease (24) support the hypothesis that inhibition of sEH can effectively mitigate neuroinflammation and the progression of neurologic disease by several mechanisms (2530). Furthermore, given the temporal change of PGE2 and EpETrEs, the dual inhibition of COX2 and sEH is a very attractive strategy. In support of this approach, inhibition of sEH was shown to synergize with COX inhibition to relieve pain (31) and this combinatorial approach alleviated the adverse effects associated with COX inhibitors (32). Dual inhibitors for COX2 and sEH have been developed (33) and successfully applied in several disease models (34, 35). By improving their PK-ADME and blood brain barrier penetration, the dual inhibitors could represent a strategy toward developing therapies for inflammation following OP intoxication.

In a recent published review (35), Rojas and colleagues summarized studies relevant to COX-2 signaling cascades in seizure disorders and the potential therapeutic targets (receptors of these prostaglandins). As pointed out in this review, the animal literature is inconsistent regarding the potential benefits of COX-2 selective coxibs in epilepsy models (35). One of the possible reasons is that the modulation of COX-2 might alter the concentrations of other lipid mediators, which also contribute to the biology of COX-2 inhibitors on seizure disorders. Here, we monitored the whole panel of the lipid mediators. According to the spatiotemporal change of these lipid mediators after neuroinflammation induced by DFP, modulation of several enzymes (e.g. COX2 and sEH) simultaneous might be a potential way to treat the neuroinflammation.

A key question is whether our data generated in a model of acute DFP intoxication are generalizable to other OPs. While different toxicity profiles have been observed across different OPs (36), the spatiotemporal profile of neuroinflammatory responses observed following DFPinduced status epilepticus are very similar to those observed in preclinical models of soman and sarin-induced status epilepticus (11, 3739). Therefore, we would expect that the brain lipidome following acute seizures would exhibit similar trends across diverse OPs.

Conclusion

In the current study, we characterized the spatiotemporal changes of lipid mediators in the rat brain after acute DFP intoxication. The levels of 31 lipid mediators in three brain regions (cortex, hippocampus and cerebellum) at six time points (vehicle control, 1, 3, 7, 14, 21, and 28) were documented. Among many significant changes, the prostaglandins including PGE2, PGD2 in cortex and hippocampus increased after intoxication of DFP, which correlate with the induction of neuroinflammation reported previously. In contrast, the levels of anti-inflammatory epoxy fatty acid lipid mediators decreased after DFP intoxication and recovered after day 7. While these results are largely phenomenological, and limited in that only male animals were investigated, they suggest that dual inhibition of COX2, the enzyme that produces prostaglandins, and sEH (the enzyme that metabolizes epoxy fatty acids) might be an attractive strategy to treat the neuroinflammation induced by acute OP intoxication. Given the urgent need for improved medical countermeasures to protect the brain from long-term neurologic sequelae, further studies to establish mechanistic relationships and to determine whether these data can be extrapolated to females are warranted.

Supplementary Material

Supplemental Figure 1A

Supplementary Figure 1. Hierarchy Cluster Analysis (HCA) based on concentrations of regulatory lipid mediators in the hippocampus (A) and cerebellum (B) of vehicle control (labeled as Day 0) and DFP animals at days 1, 3, 7, 14 and 28 post-exposure suggests six different groups of lipid mediators with similar temporal change after intoxication of DFP.

Supplemental Figure 1B
Supplemental Figure 2A

Supplementary Figure 2. The score plot of the Partial Least Square Discriminant Analysis (PLSDA) based on hippocampus (A) and cerebellum (B) data shows the regulatory lipid mediators profile tracks well with the inflammatory status.

Supplemental Figure 2B
Supplemental Table S1

Supplementary Table S1. The detail of liquid chromatographic gradient and parameters for mass spectrometer MRM.

Supplemental Table S2

Supplementary Table S2. The individual seizure scores for each animal collected at 5 min intervals from 0 to 120 min and every 20 min from 120-240 min post-DFP injection.

Supplemental Table S3

Supplementary Table S3. The concentrations of 31 detected lipid mediators in cortex, hippocampus and cerebellum. The concentrations are represented as pmol/g tissue.

Supplementary Figure and Table legends

Highlights.

  • Lipidomes of rat brain identifies potential therapeutic targets for DFP intoxication.

  • Distinct lipidomes were identified in cortex, hippocampus and cerebellum.

  • The temporal change of prostaglandins aligns well with the histological inflammatory markers.

  • The anti-inflammatory EpETrEs showed opposite trends as the prostaglandins.

Acknowledgements

This work was partially supported by National Institutes of Health Office of the Director and the National Institute of Neurological Disorders and Stroke U54 NS079202 (P.J.L.), National Institute of Environmental Health Sciences (NIEHS) R01-ES002710 (B.D.H.) and NIEHS Superfund Research Program P42-ES004699.

Abbreviation

DFP

diisopropylfluorophosphate

LOX

lipoxygenase

COX

cyclooxygenase

CYP450

cytochrome P450

PGD2

Prostaglandin D2

PGE2

Prostaglandin E2

EpETrE

epoxy eicosatrienoic acid

sEH

soluble epoxide hydrolase

AChE

acetylcholinesterase

ACh

acetylcholine

PGF1α

Prostaglandin F1α

TXB2

Thromboxane B2

LTB4

Leukotriene B4

DiHETrE

Dihydroxy eicosatrienoic acid

HETE

Hydroxyeicosatetraenoic acid

HODE

Hydroxyoctadecadienoic acid

BHT

butylate hydroxytoluene

UHPLC

ultra high-performance liquid chromatography

MRM

multiple reaction monitor

PLS-DA

partial least square discriminant analysis

ARA

arachidonic acid

DHA

docosahexaenoic acid

LA

linoleic acid

EpDPE

epoxydocosapentaenoic acid

EKODE

epoxy-keto-octadecenoic acids

HCA

Hierarchy Cluster Analysis

EpOME

epoxy octadecenoic acid

VIP

variable importance in projection

GFAP

glial fibrillary acidic acid

TSPO

translocator protein

NSAID

Nonsteroidal anti-inflammatory drug

Footnotes

Declaration of interests

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

References

  • 1.Li Y, Lein PJ, Liu C, Bruun DA, Tewolde T, Ford G, et al. Spatiotemporal pattern of neuronal injury induced by DFP in rats: a model for delayed neuronal cell death following acute OP intoxication. Toxicol Appl Pharmacol. 2011;253(3):261–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Liu C, Li Y, Lein PJ, Ford BD. Spatiotemporal patterns of GFAP upregulation in rat brain following acute intoxication with diisopropylfluorophosphate (DFP). Curr Neurobiol. 2012;3(2):90–7. [PMC free article] [PubMed] [Google Scholar]
  • 3.Hobson BA, Rowland DJ, Supasai S, Harvey DJ, Lein PJ, Garbow JR. A magnetic resonance imaging study of early brain injury in a rat model of acute DFP intoxication. Neurotoxicology. 2018;66:170–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.de Vries EF, van Waarde A, Buursma AR, Vaalburg W. Synthesis and in vivo evaluation of 18F-desbromo-DuP-697 as a PET tracer for cyclooxygenase-2 expression. J Nucl Med. 2003;44(10):1700–6. [PubMed] [Google Scholar]
  • 5.Pereira EF, Aracava Y, DeTolla LJ Jr., Beecham EJ, Basinger GW Jr., Wakayama EJ, et al. Animal models that best reproduce the clinical manifestations of human intoxication with organophosphorus compounds. J Pharmacol Exp Ther. 2014;350(2):313–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Masson P Evolution of and perspectives on therapeutic approaches to nerve agent poisoning. Toxicol Lett. 2011;206(1):5–13. [DOI] [PubMed] [Google Scholar]
  • 7.Shih TM. Anticonvulsant effects of diazepam and MK-801 in soman poisoning. Epilepsy Res. 1990;7(2):105–16. [DOI] [PubMed] [Google Scholar]
  • 8.Weissman BA, Raveh L. Therapy against organophosphate poisoning: the importance of anticholinergic drugs with antiglutamatergic properties. Toxicol Appl Pharmacol. 2008;232(2):351–8. [DOI] [PubMed] [Google Scholar]
  • 9.Jett DA, Spriggs SM. Translational research on chemical nerve agents. Neurobiol Dis. 2018. [DOI] [PubMed] [Google Scholar]
  • 10.Flannery BM, Bruun DA, Rowland DJ, Banks CN, Austin AT, Kukis DL, et al. Persistent neuroinflammation and cognitive impairment in a rat model of acute diisopropylfluorophosphate intoxication. J Neuroinflammation. 2016;13(1):267. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Siso S, Hobson BA, Harvey DJ, Bruun DA, Rowland DJ, Garbow JR, et al. Editor’s Highlight: Spatiotemporal Progression and Remission of Lesions in the Rat Brain Following Acute Intoxication With Diisopropylfluorophosphate. Toxicol Sci. 2017;157(2):330–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Collombet JM. Nerve agent intoxication: recent neuropathophysiological findings and subsequent impact on medical management prospects. Toxicol Appl Pharmacol. 2011;255(3):229–41. [DOI] [PubMed] [Google Scholar]
  • 13.de Araujo Furtado M, Rossetti F, Chanda S, Yourick D. Exposure to nerve agents: from status epilepticus to neuroinflammation, brain damage, neurogenesis and epilepsy. Neurotoxicology. 2012;33(6):1476–90. [DOI] [PubMed] [Google Scholar]
  • 14.Guignet M LP. Organophosphates. Aschner MCL, editor. Oxford, UK: Elsevier, Ltd.; 2018. [Google Scholar]
  • 15.Yang J, Dong H, Hammock BD. Profiling the regulatory lipids: another systemic way to unveil the biological mystery. Curr Opin Lipidol. 2011;22(3):197–203. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Liu JY, Li N, Yang J, Li N, Qiu H, Ai D, et al. Metabolic profiling of murine plasma reveals an unexpected biomarker in rofecoxib-mediated cardiovascular events. Proc Natl Acad Sci U S A. 2010;107(39):17017–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Wang W, Yang J, Qi W, Yang H, Wang C, Tan B, et al. Lipidomic profiling of high-fat diet-induced obesity in mice: Importance of cytochrome P450-derived fatty acid epoxides. Obesity (Silver Spring). 2017;25(1):132–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Yang J, Schmelzer K, Georgi K, Hammock BD. Quantitative profiling method for oxylipin metabolome by liquid chromatography electrospray ionization tandem mass spectrometry. Anal Chem. 2009;81(19):8085–93. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Gao J, Naughton SX, Wulff H, Singh V, Beck WD, Magrane J, et al. Diisopropylfluorophosphate Impairs the Transport of Membrane-Bound Organelles in Rat Cortical Axons. J Pharmacol Exp Ther. 2016;356(3):645–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Heiss DR, Zehnder DW 2nd, Jett DA, Platoff GE Jr., Yeung DT, Brewer BN. Synthesis and Storage Stability of Diisopropylfluorophosphate. J Chem. 2016;2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Pessah IN, Rogawski MA, Tancredi DJ, Wulff H, Zolkowska D, Bruun DA, et al. Models to identify treatments for the acute and persistent effects of seizure-inducing chemical threat agents. Ann N Y Acad Sci. 2016;1378(1):124–36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Ballabio D, Consonni V. Classification tools in chemistry. Part 1: linear models. PLS-DA. Anal Methods-Uk. 2013;5(16):3790–8. [Google Scholar]
  • 23.Worley B, Halouska S, Powers R. Utilities for quantifying separation in PCA/PLS-DA scores plots. Anal Biochem. 2013;433(2):102–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Kalivodova A, Hron K, Filzmoser P, Najdekr L, Janeckova H, Adam T. PLS-DA for compositional data with application to metabolomics. J Chemometr. 2015;29(1):21–8. [Google Scholar]
  • 25.Ankam D, Bouguila N. Compositional Data Analysis with PLS-DA and Security Applications. 2018. Ieee International Conference on Information Reuse and Integration (Iri) 2018:338–45. [Google Scholar]
  • 26.Dennis EA, Norris PC. Eicosanoid storm in infection and inflammation. Nat Rev Immunol. 2015;15(8):511–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Lawrence T, Willoughby DA, Gilroy DW. Anti-inflammatory lipid mediators and insights into the resolution of inflammation. Nat Rev Immunol. 2002;2(10):787–95. [DOI] [PubMed] [Google Scholar]
  • 28.Wymann MP, Schneiter R. Lipid signalling in disease. Nat Rev Mol Cell Biol. 2008;9(2):162–76. [DOI] [PubMed] [Google Scholar]
  • 29.Bazinet RP, Laye S. Polyunsaturated fatty acids and their metabolites in brain function and disease. Nat Rev Neurosci. 2014;15(12):771–85. [DOI] [PubMed] [Google Scholar]
  • 30.Pannunzio A, Coluccia M. Cyclooxygenase-1 (COX-1) and COX-1 Inhibitors in Cancer: A Review of Oncology and Medicinal Chemistry Literature. Pharmaceuticals (Basel). 2018;11(4). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Schmelzer K, Inceoglu B, Kubala L, Kim I, Jinks S, Eiserich J, et al. Enhancement of antinociception by coadministration of nonsteroidal anti-inflammaotry drugs and soluble epoxide hydrolase inhibitors. Proc Natl Acad Sci U S A. 2006; 103(37): 13646–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Goswami S, Wan D, Yang J, Trindade da Silva C, Morisseau G, Kodani S, et al. AntiUlcer efficacy of soluble epoxide hydrolase inhibitor TPPU on diclofenac-induced intestinal ulcers. J Pharmacol Exp Ther. 2016; 357: 529–36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Ferrer MD, Busquests-Cortes C, Capo X, Tejada S, Tur JA, Pons A, et al. Cyclooxygenase-2 inhibitors as a therapeutic target in inflammatory diseases. Curr Med Chem. 2018. [DOI] [PubMed] [Google Scholar]
  • 34.Mitchell JA, Kirkby NS. Eicosanoids, prostacyclin and cyclooxygenase in the cardiovascular system. Br J Pharmacol. 2019;176(8):1038–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Rojas A, Chen D, Ganesh T, Varvel NH, Dingledine R. The COX-2/prostanoid signaling cascades in seizure disorders. Expert Opin Ther Targets. 2019;23(1):1–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Pope CN (1999). Organophosphorus pesticides: do they all have the same mechanism of toxicity? J Toxicol Environ Health B Crit Rev 2(2), 161–81. [DOI] [PubMed] [Google Scholar]
  • 37.Guignet M, Dhakal K, Flannery BM, Hobson BA, Zolkowska D, Dhir A, Bruun DA, Li S, Wahab A, Harvey DJ, Silverman JL, Rogawski MA, Lein PJ. Persistent behavioral deficits, neuroinflammation and oxidative stress in a rat model of diisopropylfluorophosphate (DFP)induced status epilepticus. Neurobiol Dis. (in press) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Hobson BA, Rowland DJ, Siso S, Guignet MA, Harmany ZT, Bandara S, Bruun DA, Saito N, Harvey DJ, Garbow JR, Chaudari AF, Lein PJ (2019) Persistent neuroinflammation following acute DFP intoxicated revealed by TSPO PET Using [18F]PBR111. Toxicol Sci 170(2):330–344. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Li Y*, Lein PJ*, Ford GD, Liu C, Stovall K, White TE Bruun DA, Tewolde T, Gates AS, Distel TJ, Surles-Zeigler MC, Ford BD (2015) Neuregulin-1 inhibits neuroinflammatory responses in a rat model of organophosphate nerve agent-induced delayed neuronal injury. J Neuroinflamm 12 (1):64 DOI: 10.1186/s12974-015-0283-y. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplemental Figure 1A

Supplementary Figure 1. Hierarchy Cluster Analysis (HCA) based on concentrations of regulatory lipid mediators in the hippocampus (A) and cerebellum (B) of vehicle control (labeled as Day 0) and DFP animals at days 1, 3, 7, 14 and 28 post-exposure suggests six different groups of lipid mediators with similar temporal change after intoxication of DFP.

Supplemental Figure 1B
Supplemental Figure 2A

Supplementary Figure 2. The score plot of the Partial Least Square Discriminant Analysis (PLSDA) based on hippocampus (A) and cerebellum (B) data shows the regulatory lipid mediators profile tracks well with the inflammatory status.

Supplemental Figure 2B
Supplemental Table S1

Supplementary Table S1. The detail of liquid chromatographic gradient and parameters for mass spectrometer MRM.

Supplemental Table S2

Supplementary Table S2. The individual seizure scores for each animal collected at 5 min intervals from 0 to 120 min and every 20 min from 120-240 min post-DFP injection.

Supplemental Table S3

Supplementary Table S3. The concentrations of 31 detected lipid mediators in cortex, hippocampus and cerebellum. The concentrations are represented as pmol/g tissue.

Supplementary Figure and Table legends

RESOURCES