Next Article in Journal
Cuproptosis- and m6A-Related lncRNAs for Prognosis of Hepatocellular Carcinoma
Next Article in Special Issue
Mass Start or Time Trial? Structure of the Nervous System and Neuroregeneration in Pygospio elegans (Spionidae, Annelida)
Previous Article in Journal
Extracellular Vesicles in Pulmonary Hypertension: A Dangerous Liaison?
Previous Article in Special Issue
Intense Locomotion Enhances Oviposition in the Freshwater Mollusc Lymnaea stagnalis: Cellular and Molecular Correlates
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

LPS-Induced Garcia Effect and Its Pharmacological Regulation Mediated by Acetylsalicylic Acid: Behavioral and Transcriptional Evidence

1
Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy
2
Department of Physiology and Pharmacology, Hotchkiss Brain Institute, University of Calgary, Calgary, AB T2N 4N1, Canada
3
Department of Physical and Natural Sciences, FLAME University, Pune 412115, Maharashtra, India
4
Centre of Neuroscience and Neurotechnology, University of Modena and Reggio Emilia, 41125 Modena, Italy
5
Department of Life Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy
6
CIB, Consorzio Interuniversitario Biotecnologie, 34148 Trieste, Italy
*
Authors to whom correspondence should be addressed.
Biology 2023, 12(8), 1100; https://doi.org/10.3390/biology12081100
Submission received: 27 June 2023 / Revised: 3 August 2023 / Accepted: 4 August 2023 / Published: 7 August 2023
(This article belongs to the Special Issue Neurobiology of Invertebrates Inaccessible from Mammalian Studies)

Abstract

:

Simple Summary

Using our Lymnaea stagnalis model systems and combining that with a Garcia effect training procedure, we studied novel aspects of this complex and highly conserved conditioned behavior and its pharmacological regulation. Injecting snails with lipopolysaccharide (LPS) 25 μg 1 h after snails experienced a novel taste caused snails to form a long-lasting Garcia-effect memory to avoid that specific taste. This effect was prevented by the pre-exposure of snails to acetylsalicylic acid (ASA) for 1 h before the LPS injection. Here, we researched the transcriptional effects of ASA and LPS in the snails’ central nervous system alone and in combination with naive snails. In a similar manner, the behavioral and molecular mechanisms causing the LPS-induced Garcia effect and its mitigation by ASA were studied. The LPS injections enhanced the expression levels of immune and stress response targets and enhancement was prevented by pre-exposure to ASA. Regarding genes associated with neuroplasticity, LPS by itself did not affect their expression levels. However, when combined with the Garcia-effect training procedure they were upregulated consistent with LTM formation. These findings suggest a conserved crosstalk between the immune and central nervous systems.

Abstract

Lymnaea stagnalis learns and remembers to avoid certain foods when their ingestion is followed by sickness. This rapid, taste-specific, and long-lasting aversion—known as the Garcia effect—can be formed by exposing snails to a novel taste and 1 h later injecting them with lipopolysaccharide (LPS). However, the exposure of snails to acetylsalicylic acid (ASA) for 1 h before the LPS injection, prevents both the LPS-induced sickness state and the Garcia effect. Here, we investigated novel aspects of this unique form of conditioned taste aversion and its pharmacological regulation. We first explored the transcriptional effects in the snails’ central nervous system induced by the injection with LPS (25 mg), the exposure to ASA (900 nM), as well as their combined presentation in untrained snails. Then, we investigated the behavioral and molecular mechanisms underlying the LPS-induced Garcia effect and its pharmacological regulation by ASA. LPS injection, both alone and during the Garcia effect procedure, upregulated the expression levels of immune- and stress-related targets. This upregulation was prevented by pre-exposure to ASA. While LPS alone did not affect the expression levels of neuroplasticity genes, its combination with the conditioning procedure resulted in their significant upregulation and memory formation for the Garcia effect.

1. Introduction

Using our model system, the pond snail Lymnaea stagnalis, we have been able to begin to uncover aspects of the causal neuronal mechanisms underlying learning and its subsequent consolidation into long-term memory (LTM) [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20].
We recently demonstrated—for the first time in an invertebrate model organism—that Lymnaea is capable of forming a unique type of conditioned taste aversion known as the “Garcia effect” [21,22,23,24,25,26]. To induce a Garcia effect, a single pairing of a novel appetitive stimulus followed by nausea or sickness even hours later is sufficient to establish an LTM that causes a long-lasting avoidance of that food [24,25,27].
In our previous studies, we found that an injection of lipopolysaccharide (LPS), an activator of the immune system, can be used as a sickness-inducing stimulus to cause a Garcia effect lasting for at least 24 h [27]. Interestingly, we also demonstrated that the administration of a non-steroidal anti-inflammatory drug, acetylsalicylic acid (ASA), prior to the LPS injection, prevented both the induction of the sickness state caused by LPS [28] and the occurrence of the Garcia effect [27]. These findings have opened new avenues for research, seeking to elucidate the molecular mechanisms that underlie the Garcia effect and provide a comprehensive understanding of the intricate interplay between the immune and central nervous systems.
In this study, we aimed to investigate the transcriptional effects of ASA and LPS exposure alone and their combined presentation in the central ring ganglia of untrained snails. Additionally, we aimed to unravel the behavioral and molecular mechanisms involved in the LPS-induced Garcia effect and how ASA mediates its pharmacological regulation.
To achieve this, we examined the transcriptional changes of specific targets associated with the regulation of immune and stress responses:
-
the Toll-like Receptor 4 (LymTLR4), a key component for the innate immunity of invertebrates [29,30] and in mammals, mediates LPS-induced immune response [31];
-
the Molluscan Defense Molecule (LymMDM), an Ig-superfamily member, which allows mollusks to mount an effective immune response and ensure their survival [32],
-
the Heat Shock Protein 70 (LymHSP70), which plays a key conserved role in stress response [33,34,35].
We hypothesized that (1) the injection of LPS would lead to an immune and stress response in snails, characterized by an upregulation of LymTLR4, LymMDM, and LymHSP70 mRNA levels, and (2) this upregulation would be prevented by exposure to ASA. Moreover, we hypothesized that the formation of the Garcia effect would also affect the mRNA levels of ionotropic glutamatergic receptors and the transcription factor cAMP response element-binding protein 1 (LymCREB1), known to be involved in memory consolidation [36,37,38,39].
Thus, we paid particular attention to the glutamate ionotropic receptor NMDA type subunit 1 (LymGRIN1), 2A (LymGRIN2A), and 2B (LymGRIN2B), the glutamate ionotropic receptor AMPA type subunit 1 (LymGRIA1), as well as LymCREB1, because of their involvement in mediating neuroplasticity, including learning and memory [36,37,40,41,42,43,44].
Thus, to test our overall hypothesis, this study was organized as follows:
In Experiment 1, we centered our attention on the transcriptional effects on the abovementioned targets induced by (1) LPS, the sickness-inducing stimulus used in the Garcia effect training procedure, (2) ASA, the anti-inflammatory drug used to prevent the LPS effect, and (3) the ASA exposure before the LPS injection, in untrained snails.
In our second experiment, we studied the effects induced by LPS injection, ASA exposure, and ASA exposure before LPS injection on the ability of snails to form a Garcia effect.
In Experiment 3, we studied the transcriptional effects elicited by the Garcia effect training and its prevention mediated by ASA on the expression levels of target genes.

2. Materials and Methods

2.1. Animals

The freshly collected ‘Margo snails’ used in this study, were collected from Margo Lake in Saskatoon, Saskatchewan, with coordinates of 51°49′ N and 103°21′1.8″ W, and an elevation of 526 m. Adult snails, measuring 2.5–3.0 cm in shell length, were housed in well-oxygenated artificial pond water at a density of one snail per liter of water. The artificial pond water was prepared by mixing deionized water with 26 g/L of Instant Ocean (Spectrum Brands, Madison, WI, USA). To maintain a standard calcium level of 80 mg/L, calcium sulfate dihydrate was added to the water.
The snails were kept in a room with a temperature ranging from 20 to 22 °C, following a 16 h light and 8 h dark cycle. They were provided with unrestricted access to romaine lettuce for feeding purposes.

2.2. LPS Treatment

Margo snails were injected with 25 μg of Escherichia coli-derived lipopolysaccharide (LPS) serotype O127:B8 (L3129), which is approximately equivalent to 8 mg/kg. The LPS solution was prepared by dissolving 625 μg of LPS in 1 mL of snail saline solution, composed of 51.3 mM NaCl, 1.7 mM KCl, 5.0 mM MgCl2, 1.5 mM CaCl2, and 5.0 mM HEPES, with a pH of 7.9–8. A volume of 40 μL of the LPS solution was injected into the abdominal body cavity of each snail. Snails in the control group were sham-injected with 40 μL of snail saline. Following the injection, the snails were kept in an upside-down position without being immersed in artificial pond water for 10 min, as described in previous studies [27,45].

2.3. Acetylsalicylic Acid (ASA) Treatment

In this study, we bought locally grocery store-purchased acetylsalicylic acid (Bayer, Leverkusen, Germany) tablets with a purity of at least 99.0%. Through pilot experiments, we determined that a concentration of 900 nM of ASA would not affect important homeostatic behaviors such as aerial respiration and feeding [28]. To prepare the ASA solution, we dissolved one tablet (81 mg, molecular weight: 180.158 g/mol) in 500 mL of artificial pond water. In this study, snails assigned to the ASA treatment group were placed in a 1 L beaker containing 500 mL of ASA-artificial pond water and kept there for 1 h.

2.4. Behavioral Procedure to Induce a Garcia Effect

Rasping behavior in Lymnaea refers to a rhythmic motor activity where the snails repeatedly scrape their radulae against a substrate, allowing them to consume food [46,47,48]. After being acclimated in the carrot slurry for 3 min, the number of rasps elicited by the carrot slurry was recorded over a period of 2 min. Following this initial observation, the snails were returned to their aquaria for 1 h before being injected with either LPS or snail saline solution. After 3 h from the injection, the rasping behavior elicited by the carrot slurry was again recorded for 2 min, preceded by a 3 min acclimation period. To prepare the carrot slurry, we blended two organic carrots and strained them together with 500 mL of artificial pond water. The snails were placed in a Petri dish with a diameter of 14 cm, and the dish was filled with enough carrot slurry to partially submerge the snails. For better visibility of the rasping behavior, the Petri dishes were positioned on a clear Plexiglas stand elevated 10 cm above a mirror. The average number of rasps per minute induced by carrot slurry was determined to be 19.47 ± 3.2 (mean ± SEM) based on sample size (N) of 15 Margo snails.

2.5. Experimental Design

2.5.1. Experiment 1: Transcriptional Effects of ASA, LPS, and Their Paired Exposure

In this experiment, we used 4 naïve cohorts of snails (N = 8 for each cohort): (1) Snails of the ‘Saline group’ were injected with snail saline; (2) snails of the ‘LPS group’ were injected with LPS; (3) snails of the ‘ASA group’ experienced ASA for 1 h; and (4) snails of the ‘ASA_LPS group’ experienced ASA for 1 h before being injected with LPS. Three hours after the treatments, snails were euthanized in ice for 10 min, and the central ring ganglia were dissected. These doses of LPS (25 mg) and ASA (900 nM) have been successfully adopted in previous studies [27,28]. The central ring ganglia were stored at −80° before before analysis.

2.5.2. Experiment 2: LPS-Induced Garcia Effect Procedure and Its Pharmacological Regulation Mediated by ASA (Behavioral Data)

In This Study, 8 Groups of Naïve Pond-Collected Snails (N = 8, Each Group) Were Used.
  • Snails of the ‘Saline_C group’ were first injected with snail saline, and 3 h later, were exposed to the novel food (carrot slurry) for 2 min, and the number of rasps was recorded. Thus, these snails were not exposed to the novel taste (i.e., carrot slurry) before the injection.
  • Snails of the ‘Saline group’ were exposed to carrot slurry for 2 min and the number of rasps was counted. One hour later, snails were injected with snail saline. After 3 h, snails were re-exposed to carrot slurry for 2 min and the number of rasps elicited by the carrot slurry was again recorded.
  • Snails of the ‘LPS-C group’ were injected with LPS and 3 h later were exposed to the carrot slurry for the first time. The number of rasps elicited by the carrot slurry was again recorded for 2 min.
  • Snails of the ‘LPS group’ were exposed to carrot slurry for 2 min, during which the number of rasps was counted. One hour later, snails were injected with LPS and, 3 h later, were re-exposed to carrot slurry for 2 min, and the number of rasps elicited by the carrot slurry was again recorded.
  • Snails of the ‘ASA group’ were exposed to carrot slurry for 2 min and the number of rasps elicited by the carrot slurry was counted. One hour later, snails were exposed to ASA for 1 h. Three hours later, snails were re-exposed to carrot slurry for 2 min and the number of rasps elicited by the carrot slurry was again recorded.
  • Snails of the ‘ASA_Sal group’ were exposed to carrot slurry for 2 min and the number of rasps was counted. One hour later, snails were exposed to ASA for 1 h and immediately after were injected with snail saline. After 3 h, snails were re-exposed to carrot slurry for 2 min and the number of rasps elicited by the carrot slurry was again recorded.
  • Snails of the ‘Garcia effect group’ were exposed to carrot slurry for 2 min and the number of rasps elicited by the carrot slurry was counted. One hour later, snails were injected with LPS. Three hours later, snails were re-exposed to carrot slurry for 2 min and the number of rasps elicited by the carrot slurry was again recorded.
  • Snails of the ‘ASA_LPS group’ were exposed to carrot slurry for 2 min and the number of rasps elicited by the carrot slurry was counted. One hour later, snails were exposed to ASA for 1 h and immediately after were injected with LPS. Three hours later, snails were re-exposed to carrot slurry for 2 min and the number of rasps elicited by the carrot slurry was again recorded.

2.5.3. Experiment 3: Transcriptional Effects Induced by the LPS-Induced Garcia Effect and Its Pharmacological Regulation Mediated by ASA

Immediately after the memory test (Experiment 2), snails were euthanized in ice for 10 min, and the central ring ganglia were dissected. First, we performed control experiments to compare the mRNA levels of the selected targets between (1) snails of the ‘Saline group’ and those of the ‘Saline_C group’, and between (2) snails of the ‘ASA group’ and those of the ‘ASA_Saline group’. Then, we investigated the transcriptional effects induced by the LPS-induced Garcia effect and its pharmacological regulation mediated by ASA by comparing the mRNA levels of the selected targets between snails of the ‘Saline group’, ‘ASA_Saline group’, ‘LPS group’, ‘Garcia effect group’, and ‘ASA_LPS group’.

2.6. Total RNA Extraction, Reverse Transcription, and Real-Time Quantitative PCR

Total RNA extraction and DNAse treatment were conducted following previously described protocols [15]. Real-time quantitative PCR (RT-qPCR) was performed using 20 ng of mRNA, as previously described [15]. Specific forward and reverse primers were used at the final concentration of 300 nM (Table 1). As this is the first time in which the mRNA levels of GRIN2A, GRIN2B, and GRIA1 have been measured and compared in a Lymnaea study, interested readers can find the detailed description of the identification and characterization of the transcripts of LymGRIN2A, LymGRIN2B, and LymGRIA in Supplementary Material (Figure S3 and Tables S1–S5). The mRNA levels of each target gene were normalized to the arithmetic mean between two housekeeping genes, elongation factor 1α (EF1α) and b-tubulin (βTUB).
No significant alterations were observed in the mRNA levels of the reference genes across the experimental procedures (one-way analysis of variance [ANOVA]), and the amplification efficiency of both the target genes and the reference genes was similar. For the quantitative evaluation of changes, the comparative 2−ΔΔCt method was performed using as a calibrator the average levels of expression of control animals (i.e., saline-injected snails in Experiment 1 and snails exposed to carrot 1 h before e 3 h after the saline injection).

2.7. Data Analysis

In the molecular experiments, we assessed the normality of our data using the Kolmogorov–Smirnov one-sample test for normality, considering the K-S distance and associated p-values. The analysis revealed that all targets exhibited a normal distribution. To compare the expression levels of each target between Experiments 1 and 3, we employed one-way ANOVA. To identify significant differences, Tukey’s post hoc test was applied. For the behavioral data analysis (Experiment 2), a paired Student’s t-test was used to compare the number of rasps elicited by carrot slurry before and 3 h after the treatment. The number of rasps elicited by carrot slurry between snails of the Saline_C group and control naïve snails as well as the number of rasps elicited by carrot slurry between snails of the LPS group and control naïve snails was compared using an unpaired t-test. All tests were defined as significant at p < 0.05. Data were presented as mean ± standard error (SEM). Statistical analyses were conducted using IBM SPSS Statistics version 26.0 (IBM Corp., Armonk, NY, USA). Graphs were created using GraphPad Prism version 9.5.1e for Microsoft® (GraphPad Software, Inc., La Jolla, CA, USA).

3. Results

3.1. Experiment 1: Transcriptional Effects of ASA, LPS, and Their Paired Exposure

The aim of Experiment 1 was to answer the following question: what are the transcriptional effects induced by ASA, LPS, and their paired presentation in the central ring ganglia of Lymnaea? To answer this question, we investigated whether the different ASA exposure for 1 h, the LPS injection, and the exposure to ASA for 1 h before the LPS injection would affect the expression levels of selected target genes involved in immune and stress response, or neuroplasticity. A main effect of the treatments was observed for LymTLR4 [F (3, 28) = 14.74, R2 = 0.61, p < 0.001], LymMDM [F (3, 28) = 6.85, R2 = 0.42, p = 0.0013], and LymHSP70 [F (3, 28) = 6.26, R2 = 0.41, p = 0.002] (Figure 1A–C). Tukey’s multiple comparisons tests showed significant upregulation of the expression levels of these targets in LPS-injected snails compared to the other groups (LymTLR4: LPS vs. Sal: p = 0.006, q = 6.4; vs. ASA: p < 0.0001, q = 8.87; vs. ASA_LPS: p = 0.002, q = 6.82; LymMDM: LPS vs. Sal: p = 0.002, q = 5.6; vs. ASA: p = 0.01, q = 4.7; vs. ASA_LPS: p = 0.005, q = 5.2; LymHSP70: LPS vs. Sal: p = 0.01, q = 5.6; vs. ASA: p = 0.003, q = 5.4; vs. ASA_LPS: p = 0.01, q = 4.8). No main effects of the treatment were observed for neuroplasticity targets: LymGRIN1 [F (3, 28) = 0.97, R2 = 0.09, p = 0.42], LymGRIN2A [F (3, 28) = 0.65, R2 = 0.05, p = 0.55], LymGRIN2B [F (3, 28) = 1.83, R2 = 0.16, p = 0.16], LymGRIA1 [F (3, 28) = 0.79, R2 = 0.07, p = 0.51], and LymCREB1 [F (3, 28) = 0.18, R2 = 0.02, p = 0.91] (Figure 1D–H).

3.2. Experiment 2: LPS-Induced Garcia Effect Procedure and Its Pharmacological Regulation Mediated by ASA

Previously, we showed that the administration of the anti-inflammatory drug ASA before LPS injection can prevent the LPS-induced Garcia effect in Margo snails [27]. To further investigate this phenomenon at both the behavioral and molecular levels, we conducted Experiment 2, which involved various experimental conditions.
First, we confirmed that injecting snails with snail saline (i.e., Saline_C control group) did not affect feeding behavior elicited by carrot slurry, a novel appetitive stimulus. The number of rasps elicited by the carrot slurry in the Saline_C group was not significantly different from that in control Margo snails (unpaired t-test: t = 0.62, df = 21, p = 0.54) (Figure 2A). Next, a sham-injected control group (i.e., Snail saline group) was exposed to carrot slurry, and the feeding response was recorded. These snails were injected with snail saline 1 h later, and feeding behavior in response to carrot was evaluated again 3 h post-injection. Feeding behavior before and after the saline injection was not significantly different (paired t-test: t = 0.52, df = 6, p = 0.62). This confirms previous findings that the combination of a novel taste and the injection itself does not induce a Garcia effect (Figure 2B). Moreover, we injected LPS into a group of naïve snails (i.e., LPS group) who had not been exposed to the carrot slurry before. The rasping activity in response to the carrot slurry was recorded 3 h after the LPS injection. Comparing the LPS group to control naïve Margo snails, we found no significant differences in the response to the taste (unpaired t-test: t = 0.82, df = 21, p = 0.42) (Figure 2C). To assess the formation of the Garcia effect, a naive group of snails (i.e., Garcia effect group) was exposed to the novel carrot slurry and, one hour later, injected with LPS. As shown in Figure 2D, at 3 h post-injection, the rasping behavior in response to the carrot slurry was significantly decreased compared to the initial exposure (t = 7.54, df = 7, p = 0.0001), indicating the formation of the Garcia effect.
In a naïve group of snails (i.e., ASA group), the number of rasps elicited by the carrot slurry was recorded 1 h before and 3 h after a 1 h exposure to ASA. As reported in Figure 2E, there were no significant differences in the feeding response before and after the ASA exposure (t = 0.57, df = 6, p = 0.58), indicating that ASA did not significantly alter the positive hedonic effect of the carrot slurry. Consistent with our previous studies [27], we found that the combined exposure to ASA and saline injection did not result in a reduced carrot-induced feeding response. Indeed, snails of the ASA-Saline group were exposed to the carrot slurry for 2 min, and their feeding response was recorded. They experienced ASA for 1 h and then immediately injected with snail saline. Their feeding response elicited by carrot 3 h post-injection was not significantly altered by the combined treatment (t = 0.12, df = 7, p = 0.12) (Figure 2F). Finally, we investigated the prophylactic effect of ASA on the LPS-induced Garcia effect. Thus, snails in the ASA_LPS group were exposed to the novel carrot slurry and, one hour later, exposed to ASA for 1 h immediately before being injected with LPS. The number of rasps was then counted at 3 h post-injection. No significant differences were observed between the number of rasps in the carrot slurry before injection and at 3 h post-injection (t = 1.37, df = 7, p = 0.22). That is, the ASA exposure effectively prevented the LPS-induced Garcia effect (Figure 2G). It is important to note that this experimental procedure introduced a 2 h time gap between LPS injection and the initial exposure to the carrot slurry, whereas previous experiments had a 1 h gap. However, we have already shown that an LPS injection 2 h after the initial carrot slurry exposure also leads to feeding suppression and the formation of a Garcia effect in snails [27,28].

3.3. Experiment 3: Transcriptional Effects Induced by the LPS-Induced Garcia Effect and Its Pharmacological Regulation Mediated by ASA

The aim of Experiment 3 was to investigate the transcriptional effects induced by the LPS-induced Garcia effect and its pharmacological regulation mediated by ASA on the expression levels of selected targets involved in immune and stress response, or neuroplasticity. Therefore, immediately after the behavioral procedures, the central ring ganglia of the snails were dissected, and the RNA was extracted and reverse-transcribed to assess mRNA expression levels of LymTLR4, LymMDM, LymHSP70, LymGRIN1, LymGRIN2A, LymGRIN2B, LymGRIA1, and LymCREB1 (Figure 3). First, we performed control experiments to compare the mRNA levels of the selected targets between snails of the ‘Saline group’ and those of the ‘Saline_C group’ and Snails of the ‘ASA group’ and those of the ‘ASA_Saline group’. No significant differences were found in the expression levels of LymTLR4, LymMDM, LymHSP70, LymGRIN1, LymGRIN2A, LymGRIN2B, LymGRIA1, and LymCREB1 between snails of the ‘Saline group’ and those of the ‘Saline_C group’ (unpaired t-test: LymTLR4: t = 0.33, df = 14, p = 0.75; LymMDM: t = 0.94, df = 14, p = 0.36; LymHSP70: t = 0.094, df = 14, p = 0.96; LymGRIN1: t = 0.016, df = 14, p = 0.99; LymGRIN2A: t = 0.29, df = 14, p = 0.97; LymGRIN2B: t = 0.28, df = 14, p = 0.78; LymGRIA1: t = 0.48, df = 14, p = 0.64; LymCREB1: t = 0.24, df = 14, p = 0.81) (Figure S1).
Similarly, no significant differences were found in the expression levels of LymTLR4, LymMDM, LymHSP70, LymGRIN1, LymGRIN2A, LymGRIN2B, LymGRIA1, and LymCREB1 between snails of the ‘ASA group’ and those of the ‘ASA_Sal group’ (unpaired t-test: LymTLR4: t = 0.59, df = 14, p = 0.56; LymMDM: t = 0.49, df = 14, p = 0.63; LymHSP70: t = 0.68, df = 14, p = 0.51; LymGRIN1: t = 1.13, df = 14, p = 0.28; LymGRIN2A: t = 1.59, df = 14, p = 0.14; LymGRIN2B: t = 0.76, df = 14, p = 0.46; LymGRIA1: t = 0.08, df = 14, p = 0.93; LymCREB1: t = 0.28, df = 14, p = 0.79) (Figure S2). Then, we investigated the transcriptional effects induced by the LPS-induced Garcia effect and its pharmacological regulation mediated by ASA by comparing the mRNA levels of the selected targets between snails of the ‘Saline group’, ‘ASA_Saline group’, ‘LPS group’, ‘Garcia effect group’, and ‘ASA_LPS group’.
A one-way ANOVA followed by Tukey’s post hoc test showed a main effect of the behavioral procedure on the expression levels of LymTLR4 [F (4, 35) = 8.71, R2 = 0.49, p < 0.001] and LymMDM [F (4, 35) = 17.83, R2 = 0.67, p < 0.001] (Figure 3A,B). As observed in untrained animals, the LPS exposure (either in snails of the Garcia effect group or those of the LPS group) induced a significant upregulation of the mRNA levels of these targets compared to the non-LPS-injected counterparts (LymTLR4: LPS_C vs. Saline: p = 0.01, q = 4.86; LPS_C vs. ASA_Saline: p = 0.0005, q = 6.62; LPS_C vs. ASA_LPS group: p = 0.006, q = 5.28; Garcia effect vs. Saline: p = 0.03, q = 4.26; Garcia effect vs. ASA_Saline: p = 0.002, q = 5.26; Garcia effect vs. ASA_LPS group: p = 0.02, q = 4.68; LymMDM: LPS_C vs. Saline: p = 0.0001, q = 7.19; LPS_C vs. ASA_Saline: p < 0.0001, q = 7.69; LPS_C vs. ASA_LPS group: p = 0.0001, q = 7.65; Garcia effect vs. Saline: p < 0.0001, q = 7.49; Garcia effect vs. ASA_Saline: p < 0.0001, q = 8.09; Garcia effect vs. ASA_LPS group: p < 0.0001, q = 7.95).
Similarly, the expression levels of LymHSP70 were upregulated [F (4, 35) = 13.03, R2 = 0.59, p < 0.001] in snails injected to LPS (i.e., snails the Garcia effect group and those of the LPS group) compared the other groups following the Garcia effect procedure (LPS_C vs. Saline: p = 0.0009, q = 6.19; LPS_C vs. ASA_Saline: p = 0.011, q = 4.91; LPS_C vs. ASA_LPS group: p = 0.004, q = 5.4; Garcia effect vs. Saline: p < 0.0001, q = 8.04; Garcia effect vs. ASA_Saline: p = 0.0003, q = 6.76; Garcia effect vs. ASA_LPS group: p < 0.0001, q = 7.26) (Figure 3C). No differences were found in the expression levels of LymTLR4, LymMDM, and LymHSP70 between snails of the Garcia effect group and those of the LPS group (LymTLR4: p = 0.99, q = 0.59; LymMDM: p = 0.99, q = 0.29; LymHSP70: p = 0.68, q = 1.85).
Interestingly, a main effect of the Garcia effect formation was found on the expression levels of LymGRIN1 [F (4, 35) = 16.38, R2 = 0.65, p < 0.001; Figure 3D], LymGRIN2A [F (4, 35) = 14.59, R2 = 0.62, p < 0.001; Figure 3E], LymGRIN2B [F (4, 35) = 7.69, R2 = 0.46, p < 0.001; Figure 3F] LymGRIA1 [F (4, 35) = 15.57, R2 = 0.49, p < 0.001; Figure 3G], and LymCREB1 [F (4, 35) = 14.27, R2 = 0.62, p < 0.001; Figure 3H].
In particular, Tukey’s multiple comparisons tests showed significant upregulation of the expression levels of these targets only in snails of the Garcia effect group compared to the other ones (LymGRIN1: vs. Saline: p < 0.0001, q = 7.05; vs. ASA_Sal: p < 0.0001, q = 9.08; vs. LPS_C: p < 0.0001, q = 7.27; vs. ASA_LPS: p < 0.0001, q = 10.46; LymGRIN2A: vs. Saline: p < 0.0001, q = 9.13; vs. ASA_Sal: p < 0.0001, q = 7.49; vs. LPS_C: p < 0.0001, q = 9.36; vs. ASA_LPS: p = 0.0006, q = 6.42; LymGRIN2B: vs. Saline: p = 0.003, q = 5.42; vs. ASA_Sal: p = 0004, q = 6.69; vs. LPS_C: p = 0.0007, q = 6.42; vs. ASA_LPS: p = 0.0013, q = 6.03; LymGRIA1: vs. Saline: p = 0.0002, q = 7.02; vs. ASA_Sal: p < 0.0001, q = 9.91; vs. LPS_C: p < 0.0001, q = 8.67; vs. ASA_LPS: p < 0.0001, q = 8.49; LymCREB1: vs. Saline: p < 0.0001, q = 7.37; vs. ASA_Sal: p < 0.0001, q = 9.60; vs. LPS_C: p < 0.0001, q = 6.81; vs. ASA_LPS: p < 0.0001, q = 8.59).

4. Discussion

Using Lymnaea as a model system, we examined using the Garcia effect procedure to explore novel aspects of this complex conditioned behavior and its transcriptional regulation. Building upon our previous findings, we successfully replicated the observation that exposure to a novel appetitive taste coupled with the LPS inducement of sickness followed by an LPS injection induces a specific feeding suppression known as the Garcia effect in freshly collected Margo snails. Interestingly, the dose of LPS used did not independently affect the snails’ feeding behavior or induce neophobia, yet it effectively triggered the Garcia effect. Moreover, our data confirmed previous studies demonstrating that ASA alone does not impact feeding behavior, but it efficiently prevents the effects mediated by LPS [27].
Given these promising results, we further investigated the transcriptional effects induced by the injection of 25 μg of LPS, which served as the sickness-inducing stimulus necessary for the formation of the Garcia effect. Our findings revealed that the LPS injection, both alone and in combination with the appetitive stimulus during the Garcia effect procedure, significantly increased the expression levels of LymTLR4 and LymMDM. These genes are key mediators of the immune response [29,49]. Previous studies conducted in mammals, including humans, have demonstrated that LPS—through the stimulation of TLR4—induces the release of critical proinflammatory cytokines that are necessary to activate potent immune responses [31,50]. This immune activation, then, triggers sickness behavior [51,52], a well-characterized state that encompasses neuro vegetative and behavioral alterations.
Here, we also found that pre-exposure to ASA—an anti-inflammatory drug—before LPS injection, prevented this upregulation in Lymnaea. These findings suggest that inhibiting the activation of TLR4 by LPS prevents subsequent immune signaling in the CNS, suppressing the inflammatory cascade, the sickness state, and ultimately at the behavioral level, inhibiting the formation of the Garcia effect. Additionally, we observed a significant increase in LymHSP70 expression when LPS was injected alone, before the presentation of carrot slurry, and when used as the sickness-inducing stimulus in the Garcia effect procedure. Heat shock proteins (HSPs), initially identified for their response to thermal stress, have been implicated in preventing protein misfolding, and recent evidence suggests their involvement in synaptic plasticity and memory formation [53,54]. In a previous study, we demonstrated that the upregulation of HSP70 induced by heat shock (i.e., used as nausea/sickness-inducing stimulus) is essential for Garcia effect memory formation when employing the carrot slurry-heat shock procedure [24]. The results presented in this study suggest that—similarly to the heath shock—the LPS-induced upregulation of HSP70 may play a key role in mediating the Garcia effect. Moreover, Porto et al. (2018) reported that in rats HSP70 is rapidly induced and modulates the MAPK-signaling pathway during memory consolidation in hippocampal neurons [55].
Interestingly, the orthologous gene of MAPK in Lymnaea (LymMAPK) and its related pathway are involved in connecting glutamate receptors to LymCREB1 [37].
LymCREB-dependent genes are essential for modulating synaptic plasticity processes, including LTM [1,11]. Thus, our results show that an injection of LPS alone does not directly impact the expression levels of neuroplasticity genes such as LymGRIN1, LymGRIN2A, LymGRIN2B, LymGRIA1, and LymCREB1. However, when combined with the conditioning procedure for the Garcia effect, LPS leads to a significant upregulation of these genes which is associated with the formation of memory for the Garcia effect. These findings suggest that a molecular link between HSP70 and GRIN, GRIA, and CREB1 may exist in the nervous system of Lymnaea, which may play a role in mediating the Garcia effect. To our knowledge, this is the first evidence for the upregulation of the expression levels of GRIA and GRIN 2A and 2B subunits in the central ring ganglia of pond snails, which formed LTM following a behavioral procedure.
Moreover, the results of this study suggest that there is a connection between targets involved in immune and stress responses and those that mediate learning and memory formation. The regulation of these targets, along with other signaling molecules, appears to be a coordinated effort that determines the memory phenotype. This synergistic regulation is essential for immune homeostasis, learning, and memory formation in Lymnaea, similar to what has been observed in mammals. The integration of immunological, neuronal, and stressful inputs in the central nervous system plays a crucial role in this regulation [49,56].
The ability to remember past experiences associated with aversive stimuli is important for survival and is conserved across different species, including humans [57,58]. Therefore, the results of this study open up possibilities for future research into the molecular cascades that underlie the complex interaction between immune stimulation and neuroplasticity. Understanding these conserved mechanisms could provide valuable insights into how organisms integrate immune responses and memory processes. The results of this study raise several questions. Firstly, the impact of higher doses of LPS on snails’ learning and memory formation remains unknown. It is unclear whether higher doses would completely hinder their ability to learn and form memories or if they would still associate the appetitive taste with the sickness induced by LPS. Further experiments will be conducted to address this question. Secondly, since Lymnaea has an open circulatory system, an injection of LPS can potentially affect not only the central nervous system but also the peripheral nervous system and other organs. In future experiments, we plan to compare the expression levels of selected targets across different tissues to gain a comprehensive understanding of their regulation. Thirdly, based on the findings of this study, we will investigate the involvement of other pathways in mediating immune responses and neuroplasticity in Lymnaea. Specifically, we will explore the roles of the endocannabinoid system and the kynurenine pathway, as they have been implicated in crosstalk between the immune and central nervous systems in mammals. Previous studies have highlighted their regulatory functions [59]. Finally, proteomic and metabolomic analyses will be conducted to examine the effects of the LPS-induced Garcia effect and its pharmacological regulation by ASA on homeostatic functions in Lymnaea, as well as their impact on neuroplasticity. These comprehensive analyses will provide insights into the broader physiological and molecular changes associated with the Garcia effect and its modulation by ASA.

5. Conclusions

In conclusion, our findings further validate the LPS-induced Garcia effect as a valuable learning paradigm for investigating the conserved molecular mechanisms underlying this form of learning and memory. Additionally, our study highlights the suitability of Lymnaea as an excellent model organism for studying both Neuroscience and Immunology. The ability of LPS to induce a Garcia effect in snails suggests the existence of a conserved communication network between the immune and central nervous systems. Furthermore, blocking LPS-induced sickness by ASA, a widely used anti-inflammatory drug, underscores the pivotal role of LPS in triggering an inflammatory response that alters behavioral adaptive responses. Here, we demonstrated that ASA, possibly the most popular drug of the modern era, is effective in preventing LPS-induced behavioral and molecular effects also in Lymnaea. ASA acts by inhibiting the synthesis of prostaglandins through acetylation of cyclooxygenases (COX) to reduce the inflammatory effect in the recipient, but also through COX-independent mechanisms, like the inhibition of nuclear factor (NF)-κB and the extracellular signal-regulated kinase (ERK) signaling. Our results support the prominent role of Lymnaea as a unique translational model and pave the way for its employment in the study of the molecular mechanism involved in neuro-immune pharmacology. Also, the results of this study may pave the way for future studies in mammals aimed at investigating the complex crosstalk between the immune and the central nervous system, as well as the conserved mechanisms underlying the Garcia effect.
By utilizing snail models, we can significantly reduce the reliance on mammalian models, limiting their involvement to result in validation and greatly reducing the costs associated with numerous studies. Finally, L. stagnalis as a model system provides an important experimental tool and offers a translational approach that contributes significant insights and understanding in the field of Neuroscience, Immunology, and Pharmacology.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/biology12081100/s1. Figure S1: LymTLR4, LymMDM, LymHSP70, LymGRIN1, LymGRIN2A, LymGRIN2B, LymGRIA1, and LymCREB1 expression levels showed no significant difference in snails exposed to carrot slurry 1 h before and 3 h after the snail saline injection (Saline group) and those of them exposed to carrot slurry only after the snail saline injection (Saline_C group). The expression of LymTLR4 (A), LymMDM (B), LymHSP70 (C), LymGRIN1 (D), LymGRIN2A (E), LymGRIN2B (F), LymGRIA1 (G), and LymCREB1 (H) were measured in the central ring ganglia of snails injected with snail saline and then exposed for the first time to carrot slurry 3 h later (checkered bars) and those exposed to carrot slurry 1 h before and 3 h after being injected with snail saline (full dark grey bars). Immediately after the re-exposure to the carrot slurry for 2 min, snails of the Saline and Saline_C groups were sacrificed, the central ring ganglia were dissected, and the RNA was extracted and reverse-transcribed. No significant differences were found in the expression levels of these targets between the groups. The mRNA levels were analyzed by RT-qPCR. N = 8 for each group. Data are represented as means ± SEM and were analyzed with unpaired t-test. Figure S2: LymTLR4, LymMDM, LymHSP70, LymGRIN1, LymGRIN2A, LymGRIN2B, LymGRIA1, and LymCREB1 expression levels showed no significant difference in snails of the ASA group and those of the ASA_Saline group. Snails of the ‘ASA group’ (white bars) were exposed to carrot slurry for 2 min and the number of rasps elicited by the carrot slurry was counted. One hour later, snails were exposed to ASA for 1 h. Three hours later, snails were re-exposed to carrot slurry for 2 min and the number of rasps elicited by the carrot slurry was again recorded. Snails of the ‘ASA_Saline group’ (full grey bars) were exposed to carrot slurry for 2 min and the number of rasps elicited by the carrot slurry was counted. One hour later, snails were exposed to ASA for 1 h and immediately after were injected with snail saline. Three hours later, snails were re-exposed to carrot slurry for 2 min and the number of rasps elicited by the carrot slurry was again recorded. Immediately after the re-exposure to the carrot slurry for 2 min, snails of the ASA and ASA_Saline groups were sacrificed, the central ring ganglia were dissected, and the RNA was extracted and reverse-transcribed. The expression of LymTLR4 (A), LymMDM (B), LymHSP70 (C), LymGRIN1 (D), LymGRIN2A (E), LymGRIN2B (F), LymGRIA1 (G), and LymCREB1 (H) were measured and compared. No significant differences were found in the expression levels of these targets between the groups. The mRNA levels were analyzed by RT-qPCR. N = 8 for each group. Data are represented as means ± SEM and were analyzed with unpaired t-test. Figure S3: Melting curves analysis. For each target, a single sharp peak with no primer-dimer was observed. Table S1: Contig annotation table. For each contig, the ID, the contig length (bp), and the RefSeq protein ID identified in Biomphalaris glabrata (a gastropod whose genome and transcriptome have been characterized and annotated) are reported with the corresponding gene definition. When available, the RefSeq protein ID identified in Mus musculus and Homo sapiens is also reported, together with the gene symbol [60]. Table S2: Validated primers for sequencing. For each predicted target are reported the relative transcript FX_, the forward (FW), and reverse (RV) primers’ sequences, with the corresponding position on the transcript. Table S3: ORFs of the putative glutamatergic receptors in L. stagnalis. For each contig, the ID, the FX_ value corresponding to L. stagnalis Transcriptome Shotgun Assembly, the ORFs, and the predicted amino acid size (aa) are reported. Table S4: ORF homology table. Homology between the ORF of the putative glutamatergic receptors in L. stagnalis with orthologues from different organisms. For each contig, the ID, the amino acid (aa) size (bp), the FX_ value corresponding to L. stagnalis Transcriptome Shotgun Assembly, and the RefSeq protein ID identified in B.glabrata, A. californica, M. musculus, and H. sapiens, along with the corresponding gene definition and aa size, are reported. Table S5: Validated primers for gene expression analysis. For each enzyme of the KP, the relative transcript FX_, the forward (FW) and reverse (RV) primers’ sequences, with the corresponding size (bp), efficiency, R2 score resulting from the validation experiments, and the Ct value obtained with 20 ng of cDNA are reported.

Author Contributions

Conceptualization, V.R., A.B., K.L. and C.B.; methodology, V.R.; validation, V.R. and A.B.; formal analysis, V.R.; investigation, V.R.; resources, F.T., J.M.C.B. and K.L.; data curation, V.R.; writing—original draft preparation, V.R. and J.M.C.B.; writing—review and editing, A.B., C.B., G.R., F.T., K.L.; visualization, K.L.; supervision, K.L.; project administration, K.L., F.T. and J.M.C.B.; funding acquisition, K.L. and F.T. All authors have read and agreed to the published version of the manuscript.

Funding

The current work was funded by Regione Emilia Romagna L.R. N. 20/2002 PROGETTI DI RICERCA SUI METODI ALTERNATIVI ALL’UTILIZZO DI ANIMALI (Prof. Fabio Tascedda); FAR 2016 Department of Life Sciences, University of Modena and Reggio Emilia (Prof. Fabio Tascedda), and the Natural Sciences and Engineering Research Council of Canada (Prof. Ken Lukowiak).

Institutional Review Board Statement

Ethical approval is not required for research work with L. stagnalis; however, every effort was made to ameliorate the suffering of animals, ensuring adequate food, clean oxygenated water, and low-density housing conditions. The LPS treatment used in this study has no long-term effects on snails (personal observations). The collection of wild snails for this study did not involve endangered or protected species and no specific permits were required for the described field collections.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available in the present article and on request from the corresponding author.

Acknowledgments

The authors would like to thank Iain Philips for collecting the Margo strain snails and Quentin Pittman for helpful discussions in the initial stage of this study. Finally, the authors would like to thank Consorzio Interuniversitario Biotecnologie (CIB, Trieste, Italy) for the research grant awarded to Veronica Rivi to work as a visiting researcher at the Hotchkiss Brain Institute (University of Calgary, Calgary, AB, Canada).

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Rivi, V.; Benatti, C.; Lukowiak, K.; Colliva, C.; Alboni, S.; Tascedda, F.; Blom, J.M.C. What Can We Teach Lymnaea and What Can Lymnaea Teach Us? Biol. Rev. Camb. Philos. Soc. 2021, 96, 1590–1602. [Google Scholar] [CrossRef]
  2. Fodor, I.; Svigruha, R.; Kemenes, G.; Kemenes, I.; Pirger, Z. The Great Pond Snail (Lymnaea stagnalis) as a Model of Ageing and Age-Related Memory Impairment: An Overview. J. Gerontol. A Biol. Sci. Med. Sci. 2021, 76, 975–982. [Google Scholar] [CrossRef]
  3. Fodor, I.; Hussein, A.A.; Benjamin, P.R.; Koene, J.M.; Pirger, Z. The Unlimited Potential of the Great Pond Snail, Lymnaea stagnalis. eLife 2020, 9, e56962. [Google Scholar] [CrossRef]
  4. Ito, E.; Yamagishi, M.; Hatakeyama, D.; Watanabe, T.; Fujito, Y.; Dyakonova, V.; Lukowiak, K. Memory Block: A Consequence of Conflict Resolution. J. Exp. Biol. 2015, 218, 1699–1704. [Google Scholar] [CrossRef] [Green Version]
  5. Lukowiak, K.; Sangha, S.; Scheibenstock, A.; Parvez, K.; McComb, C.; Rosenegger, D.; Varshney, N.; Sadamoto, H. A Molluscan Model System in the Search for the Engram. J. Physiol. Paris 2003, 97, 69–76. [Google Scholar] [CrossRef] [PubMed]
  6. Rivi, V.; Benatti, C.; Rigillo, G.; Blom, J.M.C. Invertebrates as Models of Learning and Memory: Investigating Neural and Molecular Mechanisms. J. Exp. Biol. 2023, 226, jeb244844. [Google Scholar] [CrossRef] [PubMed]
  7. Rivi, V.; Batabyal, A.; Benatti, C.; Tascedda, F.; Blom, J.M.C.; Lukowiak, K. Prey Populations with Different Predation Histories Show Differences in Behavioral and Transcriptional Effects under Acute Predation Threat. Neurobiol. Learn. Mem. 2023, 203, 107775. [Google Scholar] [CrossRef] [PubMed]
  8. Kagan, D.; Batabyal, A.; Rivi, V.; Lukowiak, K. A Change in Taste: The Role of MicroRNAs in Altering Hedonic Value. J. Exp. Biol. 2022, 225, jeb243840. [Google Scholar] [CrossRef]
  9. Kagan, D.; Rivi, V.; Benatti, C.; Tascedda, F.; Blom, J.M.C.; Lukowiak, K. No Food for Thought: An Intermediate Level of Food Deprivation Enhances Memory in Lymnaea stagnalis. J. Exp. Biol. 2023, 226, jeb245566. [Google Scholar] [CrossRef]
  10. Swinton, C.; Swinton, E.; Shymansky, T.; Hughes, E.; Zhang, J.; Rothwell, C.; Kakadiya, M.; Lukowiak, K. Configural Learning: A Higher Form of Learning in Lymnaea. J. Exp. Biol. 2019, 222, jeb190405. [Google Scholar] [CrossRef] [Green Version]
  11. Benjamin, P.R.; Kemenes, G. Invertebrate Models to Study Learning and Memory: Lymnaea. In Encyclopedia of Neuroscience; Squire, L.R., Ed.; Academic Press: Oxford, UK, 2009; pp. 197–204. ISBN 978-0-08-045046-9. [Google Scholar]
  12. Benjamin, P.R. Lymnaea. Scholarpedia 2008, 3, 4124. [Google Scholar] [CrossRef]
  13. Totani, Y.; Nakai, J.; Dyakonova, V.E.; Lukowiak, K.; Sakakibara, M.; Ito, E. Induction of LTM Following an Insulin Injection. eNeuro 2020, 7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Totani, Y.; Aonuma, H.; Oike, A.; Watanabe, T.; Hatakeyama, D.; Sakakibara, M.; Lukowiak, K.; Ito, E. Monoamines, Insulin and the Roles They Play in Associative Learning in Pond Snails. Front. Behav. Neurosci. 2019, 13, 65. [Google Scholar] [CrossRef] [PubMed]
  15. Kemenes, G.; Benjamin, P.R. Appetitive Learning in Snails Shows Characteristics of Conditioning in Vertebrates. Brain Res. 1989, 489, 163–166. [Google Scholar] [CrossRef]
  16. Kemenes, I.; Straub, V.A.; Nikitin, E.S.; Staras, K.; O’Shea, M.; Kemenes, G.; Benjamin, P.R. Role of Delayed Nonsynaptic Neuronal Plasticity in Long-Term Associative Memory. Curr. Biol. 2006, 16, 1269–1279. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Rivi, V.; Batabyal, A.; Wiley, B.; Benatti, C.; Tascedda, F.; Blom, J.M.C.; Lukowiak, K. Fluoride Affects Memory by Altering the Transcriptional Activity in the Central Nervous System of Lymnaea stagnalis. NeuroToxicology 2022, 92, 61–66. [Google Scholar] [CrossRef]
  18. Rivi, V.; Benatti, C.; Colliva, C.; Radighieri, G.; Brunello, N.; Tascedda, F.; Blom, J.M.C. Lymnaea stagnalis as Model for Translational Neuroscience Research: From Pond to Bench. Neurosci. Biobehav. Rev. 2020, 108, 602–616. [Google Scholar] [CrossRef] [PubMed]
  19. Rivi, V.; Batabyal, A.; Benatti, C.; Blom, J.M.; Tascedda, F.; Lukowiak, K. A Flavonoid, Quercetin, Is Capable of Enhancing Long-Term Memory Formation If Encountered at Different Times in the Learning, Memory Formation, and Memory Recall Continuum. J. Comp. Physiol. A 2021, 208, 253–265. [Google Scholar] [CrossRef]
  20. Benatti, C.; Rivi, V.; Colliva, C.; Radighieri, G.; Tascedda, F.; Blom, J.M.C. Redefining Operant Conditioning of Escape Behaviour in Lymnaea stagnalis. Invert. Sur. J. 2020, 17, 129–137. [Google Scholar] [CrossRef]
  21. Garcia, J.; Kimeldorf, D.J.; Koelling, R.A. Conditioned Aversion to Saccharin Resulting from Exposure to Gamma Radiation. Science 1955, 122, 157–158. [Google Scholar] [CrossRef]
  22. Garcia, J.; Lasiter, P.S.; Bermudez-Rattoni, F.; Deems, D.A. A General Theory of Aversion Learning. Ann. N. Y. Acad. Sci. 1985, 443, 8–21. [Google Scholar] [CrossRef]
  23. Garcia, J.; Koelling, R.A. Relation of Cue to Consequence in Avoidance Learning. Psychon. Sci. 1966, 4, 123–124. [Google Scholar] [CrossRef] [Green Version]
  24. Rivi, V.; Batabyal, A.; Juego, K.; Kakadiya, M.; Benatti, C.; Blom, J.M.C.; Lukowiak, K. To Eat or Not to Eat: A Garcia Effect in Pond Snails (Lymnaea stagnalis). J. Comp. Physiol. A 2021, 207, 479–495. [Google Scholar] [CrossRef] [PubMed]
  25. Rivi, V.; Batabyal, A.; Benatti, C.; Blom, J.M.C.; Lukowiak, K. Nature versus Nurture in Heat Stress-Induced Learning between Inbred and Outbred Populations of Lymnaea stagnalis. J. Therm. Biol. 2022, 103, 103170. [Google Scholar] [CrossRef] [PubMed]
  26. Rivi, V.; Benatti, C.; Actis, P.; Tascedda, F.; Blom, J.M.C. Behavioral and Transcriptional Effects of Short or Prolonged Fasting on the Memory Performances of Lymnaea stagnalis. Neuroendo 2022, 113, 406–422. [Google Scholar] [CrossRef] [PubMed]
  27. Rivi, V.; Batabyal, A.; Benatti, C.; Blom, J.M.; Tascedda, F.; Lukowiak, K. Novel Taste, Sickness, and Memory: Lipopolysaccharide to Induce a Garcia-like Effect in Inbred and Wild Strains of Lymnaea stagnalis. Physiol. Behav. 2023, 263, 114137. [Google Scholar] [CrossRef] [PubMed]
  28. Rivi, V.; Batabyal, A.; Benatti, C.; Tascedda, F.; Blom, J.M.C.; Lukowiak, K. Aspirin Reverts Lipopolysaccharide-Induced Learning and Memory Impairment: First Evidence from an Invertebrate Model System. Naunyn Schmiedeberg’s Arch. Pharmacol. 2022, 395, 1573–1585. [Google Scholar] [CrossRef]
  29. Juhász, A.; Lawton, S.P. Toll like Receptors and Their Evolution in the Lymnaeid Freshwater Snail Species Radix auricularia and Lymnaea stagnalis, Key Intermediate Hosts for Zoonotic Trematodes. Dev. Comp. Immunol. 2022, 127, 104297. [Google Scholar] [CrossRef]
  30. Nie, L.; Cai, S.-Y.; Shao, J.-Z.; Chen, J. Toll-Like Receptors, Associated Biological Roles, and Signaling Networks in Non-Mammals. Front. Immunol. 2018, 9, 1523. [Google Scholar] [CrossRef] [Green Version]
  31. Lu, Y.-C.; Yeh, W.-C.; Ohashi, P.S. LPS/TLR4 Signal Transduction Pathway. Cytokine 2008, 42, 145–151. [Google Scholar] [CrossRef]
  32. Hoek, R.M.; Smit, A.B.; Frings, H.; Vink, J.M.; de Jong-Brink, M.; Geraerts, W.P. A New Ig-Superfamily Member, Molluscan Defence Molecule (MDM) from Lymnaea stagnalis, Is down-Regulated during Parasitosis. Eur. J. Immunol. 1996, 26, 939–944. [Google Scholar] [CrossRef] [PubMed]
  33. Feder, M.E.; Bedford, T.B.C.; Albright, D.R.; Michalak, P. Evolvability of HSP70 Expression under Artificial Selection for Inducible Thermotolerance in Independent Populations of Drosophila melanogaster. Physiol. Biochem. Zool. 2002, 75, 325–334. [Google Scholar] [CrossRef] [PubMed]
  34. Multhoff, G. Heat Shock Protein 70 (Hsp70): Membrane Location, Export and Immunological Relevance. Methods 2007, 43, 229–237. [Google Scholar] [CrossRef]
  35. Yu, E.; Yoshinaga, T.; Jalufka, F.L.; Ehsan, H.; Mark Welch, D.B.; Kaneko, G. The Complex Evolution of the Metazoan HSP70 Gene Family. Sci. Rep. 2021, 11, 17794. [Google Scholar] [CrossRef]
  36. Frank, D.A.; Greenberg, M.E. CREB: A Mediator of Long-Term Memory from Mollusks to Mammals. Cell 1994, 79, 5–8. [Google Scholar] [CrossRef] [PubMed]
  37. Korneev, S.A.; Vavoulis, D.V.; Naskar, S.; Dyakonova, V.E.; Kemenes, I.; Kemenes, G. A CREB2-Targeting MicroRNA Is Required for Long-Term Memory after Single-Trial Learning. Sci. Rep. 2018, 8, 3950. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Sadamoto, H.; Sato, H.; Kobayashi, S.; Murakami, J.; Aonuma, H.; Ando, H.; Fujito, Y.; Hamano, K.; Awaji, M.; Lukowiak, K.; et al. CREB in the Pond Snail Lymnaea stagnalis: Cloning, Gene Expression, and Function in Identifiable Neurons of the Central Nervous System. J. Neurobiol. 2004, 58, 455–466. [Google Scholar] [CrossRef]
  39. Batabyal, A.; Rivi, V.; Benatti, C.; Blom, J.M.C.; Lukowiak, K. Long-Term Memory of Configural Learning Is Enhanced via CREB Upregulation by the Flavonoid Quercetin in Lymnaea stagnalis. J. Exp. Biol. 2021, 224, jeb242761. [Google Scholar] [CrossRef]
  40. Dong, N.; Bandura, J.; Zhang, Z.; Wang, Y.; Labadie, K.; Noel, B.; Davison, A.; Koene, J.; Sun, H.-S.; Coutellec, M.-A.; et al. Ion Channel Profiling of the Lymnaea stagnalis Ganglia via Transcriptome Analysis. BMC Genom. 2021, 22, 18. [Google Scholar] [CrossRef]
  41. Kandel, E.R. The Molecular Biology of Memory: CAMP, PKA, CRE, CREB-1, CREB-2, and CPEB. Mol. Brain 2012, 5, 14. [Google Scholar] [CrossRef] [Green Version]
  42. Kandel, E.R.; Dudai, Y.; Mayford, M.R. The Molecular and Systems Biology of Memory. Cell 2014, 157, 163–186. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Alberini, C.M. The Role of Reconsolidation and the Dynamic Process of Long-Term Memory Formation and Storage. Front. Behav. Neurosci. 2011, 5, 12. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Alberini, C.M. Transcription Factors in Long-Term Memory and Synaptic Plasticity. Physiol. Rev. 2009, 89, 121–145. [Google Scholar] [CrossRef] [PubMed]
  45. Benatti, C.; Colliva, C.; Blom, J.; Ottaviani, E.; Tascedda, F. Transcriptional Effect of Serotonin in the Ganglia of Lymnaea stagnalis. Inv. Surv. J. 2017, 14, 251–258. [Google Scholar] [CrossRef]
  46. Aonuma, H.; Kaneda, M.; Hatakeyama, D.; Watanabe, T.; Lukowiak, K.; Ito, E. Relationship between the Grades of a Learned Aversive-Feeding Response and the Dopamine Contents in Lymnaea. Biol. Open 2016, 5, 1869–1873. [Google Scholar] [CrossRef] [Green Version]
  47. Benjamin, P.R. Gastropod Feeding: Behavioural and Neural Analysis of a Complex Multicomponent System. Symp. Soc. Exp. Biol. 1983, 37, 159–193. [Google Scholar]
  48. Benjamin, P.R. Distributed Network Organization Underlying Feeding Behavior in the Mollusk Lymnaea. Neural Syst. Circuits 2012, 2, 4. [Google Scholar] [CrossRef] [Green Version]
  49. Ottaviani, E.; Franceschi, C. The Neuroimmunology of Stress from Invertebrates to Man. Prog. Neurobiol. 1996, 48, 421–440. [Google Scholar] [CrossRef]
  50. Ciesielska, A.; Matyjek, M.; Kwiatkowska, K. TLR4 and CD14 Trafficking and Its Influence on LPS-Induced pro-Inflammatory Signaling. Cell. Mol. Life Sci. 2021, 78, 1233–1261. [Google Scholar] [CrossRef]
  51. Dantzer, R.; Kelley, K.W. Twenty Years of Research on Cytokine-Induced Sickness Behavior. Brain Behav. Immun. 2007, 21, 153–160. [Google Scholar] [CrossRef] [Green Version]
  52. Maes, M.; Berk, M.; Goehler, L.; Song, C.; Anderson, G.; Gałecki, P.; Leonard, B. Depression and Sickness Behavior Are Janus-Faced Responses to Shared Inflammatory Pathways. BMC Med. 2012, 10, 66. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Zatsepina, O.G.; Nikitina, E.A.; Shilova, V.Y.; Chuvakova, L.N.; Sorokina, S.; Vorontsova, J.E.; Tokmacheva, E.V.; Funikov, S.Y.; Rezvykh, A.P.; Evgen’ev, M.B. HSP70 Affects Memory Formation and Behaviorally Relevant Gene Expression in Drosophila melanogaster. Cell Stress. Chap 2021, 26, 575–594. [Google Scholar] [CrossRef] [PubMed]
  54. Citri, A.; Malenka, R.C. Synaptic Plasticity: Multiple Forms, Functions, and Mechanisms. Neuropsychopharmacology 2008, 33, 18–41. [Google Scholar] [CrossRef] [Green Version]
  55. Porto, R.R.; Dutra, F.D.; Crestani, A.P.; Holsinger, R.M.D.; Quillfeldt, J.A.; Homem de Bittencourt, P.I.; de Oliveira Alvares, L. HSP70 Facilitates Memory Consolidation of Fear Conditioning through MAPK Pathway in the Hippocampus. Neuroscience 2018, 375, 108–118. [Google Scholar] [CrossRef]
  56. Seppälä, O.; Walser, J.-C.; Cereghetti, T.; Seppälä, K.; Salo, T.; Adema, C.M. Transcriptome Profiling of a Multiuse Model Species Lymnaea stagnalis (Gastropoda) for Ecoimmunological Research. bioRxiv 2020, 22, 144. [Google Scholar] [CrossRef]
  57. Mobbs, D.; Hagan, C.C.; Dalgleish, T.; Silston, B.; Prévost, C. The Ecology of Human Fear: Survival Optimization and the Nervous System. Front. Neurosci. 2015, 9, 55. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  58. Snijders, L.; Thierij, N.M.; Appleby, R.; St. Clair, C.C.; Tobajas, J. Conditioned Taste Aversion as a Tool for Mitigating Human-Wildlife Conflicts. Front. Conserv. Sci. 2021, 2, 744704. [Google Scholar] [CrossRef]
  59. Fossat, P.; Bacqué-Cazenave, J.; De Deurwaerdère, P.; Delbecque, J.-P.; Cattaert, D. Comparative Behavior. Anxiety-like Behavior in Crayfish Is Controlled by Serotonin. Science 2014, 344, 1293–1297. [Google Scholar] [CrossRef]
  60. Benatti, C.; Rivi, V.; Alboni, S.; Grilli, A.; Castellano, S.; Pani, L.; Brunello, N.; Blom, J.M.C.B.; Bicciato, S.; Tascedda, F. Identification and Characterization of the Kynurenine Pathway in the Pond Snail Lymnaea stagnalis. Sci. Rep. 2022, 12, 15617. [Google Scholar] [CrossRef]
Figure 1. Transcriptional effects induced by ASA treatment, LPS injection, and their paired presentation. The expression of LymTLR4 (A), LymMDM (B), LymHSP70 (C), LymGRIN1 (D), LymGRIN2A (E), LymGRIN2B (F), LymGRIA1 (G), and LymCREB1 (H) were measured in the central ring ganglia of snails injected with snail saline (full black bars), snails exposed to ASA for 1 h (full grey bars), snails injected with LPS (diagonal red bars), and snails exposed to ASA for 1 h and then injected with LPS (diagonal grey bars). Three hours after the treatment, snails were sacrificed, and the central ring ganglia were extracted. The mRNA levels were assessed using RT-qPCR. The sample size (N) for each group was 8. The data are presented as means ± SEM and were subjected to statistical analysis using One-way ANOVA, followed by Tukey post hoc analyses. Statistical significance was indicated as **** p < 0.0001, *** p < 0.001, ** p < 0.01, * p < 0.05.
Figure 1. Transcriptional effects induced by ASA treatment, LPS injection, and their paired presentation. The expression of LymTLR4 (A), LymMDM (B), LymHSP70 (C), LymGRIN1 (D), LymGRIN2A (E), LymGRIN2B (F), LymGRIA1 (G), and LymCREB1 (H) were measured in the central ring ganglia of snails injected with snail saline (full black bars), snails exposed to ASA for 1 h (full grey bars), snails injected with LPS (diagonal red bars), and snails exposed to ASA for 1 h and then injected with LPS (diagonal grey bars). Three hours after the treatment, snails were sacrificed, and the central ring ganglia were extracted. The mRNA levels were assessed using RT-qPCR. The sample size (N) for each group was 8. The data are presented as means ± SEM and were subjected to statistical analysis using One-way ANOVA, followed by Tukey post hoc analyses. Statistical significance was indicated as **** p < 0.0001, *** p < 0.001, ** p < 0.01, * p < 0.05.
Biology 12 01100 g001
Figure 2. LPS-induced Garcia effect and its pharmacological regulation by ASA. The experimental timeline and results are summarized as follows: (A) The Saline_C group, consisting of 8 naïve Margo snails, was injected with snail saline. After 3 h, snails were exposed to carrot slurry for the first time (closed circles). The injection of snail saline did not affect the feeding behavior elicited by carrot slurry, as the number of rasps per minute was not significantly different from that observed in non-injected snails. (B) A control group of 8 freshly collected Margo snails was exposed to carrot slurry 1 h before (closed circles) and 3 h after (open circles) the snail saline injection. There were no significant differences in the number of rasps elicited by carrot slurry between the two-time points. (C) A naïve cohort of snails (LPS group, N = 8) was first injected with LPS, and after 3 h, the rasping behavior in response to the carrot slurry was counted. The injection of LPS before the snails ever experienced the carrot slurry did not alter the response to the taste when compared to control non-injected snails. (D) The Garcia effect was observed in snails (Garcia effect group, N = 8) exposed to carrot slurry 1 h before (closed circles) and 3 h after (open circles) the LPS injection. The exposure to the novel taste (carrot slurry) followed by an LPS injection resulted in a significant taste-specific reduction in the number of rasps, indicating the formation of the Garcia effect. (E) In a new cohort of 8 naïve snails (ASA group), the number of rasps elicited by carrot slurry was counted 1 h before (closed circles) and 3 h after (open circles) a 1 h exposure to ASA. There were no significant differences in the number of rasps, indicating that ASA did not significantly alter the positive hedonic effect of carrot slurry (F) The ASA_Saline group (N = 8) was exposed to carrot slurry for 2 min (closed circles). One hour later, they were exposed to ASA for 1 h, immediately followed by an injection of snail saline. Three hours later, the number of rasps in the carrot slurry was re-counted (open circles). The paired treatment of ASA and saline injection did not significantly affect the feeding behavior elicited by carrot slurry. (G) The ASA_LPS group, comprising naïve snails (N = 8), was exposed to carrot slurry, and immersed in ASA for 1 h before being injected with LPS. The number of rasps was counted at 3 h post-injection (open circles). No significant differences in the number of rasps elicited by carrot slurry were observed. The data are presented as means ± SEM and were analyzed using paired t-tests (B,EG) or unpaired t-tests (A,C). The statistical significance level was represented as *** for p < 0.001, and ns indicated no significance with p > 0.05.
Figure 2. LPS-induced Garcia effect and its pharmacological regulation by ASA. The experimental timeline and results are summarized as follows: (A) The Saline_C group, consisting of 8 naïve Margo snails, was injected with snail saline. After 3 h, snails were exposed to carrot slurry for the first time (closed circles). The injection of snail saline did not affect the feeding behavior elicited by carrot slurry, as the number of rasps per minute was not significantly different from that observed in non-injected snails. (B) A control group of 8 freshly collected Margo snails was exposed to carrot slurry 1 h before (closed circles) and 3 h after (open circles) the snail saline injection. There were no significant differences in the number of rasps elicited by carrot slurry between the two-time points. (C) A naïve cohort of snails (LPS group, N = 8) was first injected with LPS, and after 3 h, the rasping behavior in response to the carrot slurry was counted. The injection of LPS before the snails ever experienced the carrot slurry did not alter the response to the taste when compared to control non-injected snails. (D) The Garcia effect was observed in snails (Garcia effect group, N = 8) exposed to carrot slurry 1 h before (closed circles) and 3 h after (open circles) the LPS injection. The exposure to the novel taste (carrot slurry) followed by an LPS injection resulted in a significant taste-specific reduction in the number of rasps, indicating the formation of the Garcia effect. (E) In a new cohort of 8 naïve snails (ASA group), the number of rasps elicited by carrot slurry was counted 1 h before (closed circles) and 3 h after (open circles) a 1 h exposure to ASA. There were no significant differences in the number of rasps, indicating that ASA did not significantly alter the positive hedonic effect of carrot slurry (F) The ASA_Saline group (N = 8) was exposed to carrot slurry for 2 min (closed circles). One hour later, they were exposed to ASA for 1 h, immediately followed by an injection of snail saline. Three hours later, the number of rasps in the carrot slurry was re-counted (open circles). The paired treatment of ASA and saline injection did not significantly affect the feeding behavior elicited by carrot slurry. (G) The ASA_LPS group, comprising naïve snails (N = 8), was exposed to carrot slurry, and immersed in ASA for 1 h before being injected with LPS. The number of rasps was counted at 3 h post-injection (open circles). No significant differences in the number of rasps elicited by carrot slurry were observed. The data are presented as means ± SEM and were analyzed using paired t-tests (B,EG) or unpaired t-tests (A,C). The statistical significance level was represented as *** for p < 0.001, and ns indicated no significance with p > 0.05.
Biology 12 01100 g002
Figure 3. Transcriptional effects induced by the LPS-induced Garcia effect and its pharmacological regulation mediated by ASA. The expression of LymTLR4 (A), LymMDM (B), LymHSP70 (C), LymGRIN1 (D), LymGRIN2A (E), LymGRIN2B (F), LymGRIA1 (G), and LymCREB1 (H) was measured in the central ring ganglia of (1) snail of the ‘Saline group’ (full black bars) were exposed to carrot slurry 1 h before and 3 h after being injected with snail saline; (2) snails of the ‘ASA_Sal group’ (full grey bars), which were first exposed to the carrot slurry 1 h before and 3 h after being exposed to ASA for 1 h and immediately later injected with snail saline; (3) snails of the ‘LPS group (full red bars)’, which were first injected with LPS and three hours later, and were exposed for the first time to carrot slurry; (4) snails of the ‘Garcia effect group’ (diagonal red bars), which were exposed to carrot slurry 1 h before and 3 h after being injected with LPS; and (5) snails of the ‘ASA_LPS group’ (diagonal grey bars), which were exposed to carrot slurry 1 h before and 3 h after being exposed to ASA for 1 h and immediately after were injected with LPS. Snails that learned and formed the Garcia effect memory are indicated with a ‘+’ below each bar, whereas those which did not form the Garcia effect were marked with a ‘-’ below the bars. After the exposure to the carrot slurry, snails were sacrificed, the central ring ganglia were dissected, and the RNA was extracted. RT-qPCR was employed to analyze the mRNA levels in the study, with a sample size of 8 for each group. The data were presented as means ± SEM and statistically analyzed using One-way ANOVA, followed by Tukey post hoc analyses. Statistical significance was denoted as **** p < 0.0001, *** p < 0.001, ** p < 0.01, * p < 0.05.
Figure 3. Transcriptional effects induced by the LPS-induced Garcia effect and its pharmacological regulation mediated by ASA. The expression of LymTLR4 (A), LymMDM (B), LymHSP70 (C), LymGRIN1 (D), LymGRIN2A (E), LymGRIN2B (F), LymGRIA1 (G), and LymCREB1 (H) was measured in the central ring ganglia of (1) snail of the ‘Saline group’ (full black bars) were exposed to carrot slurry 1 h before and 3 h after being injected with snail saline; (2) snails of the ‘ASA_Sal group’ (full grey bars), which were first exposed to the carrot slurry 1 h before and 3 h after being exposed to ASA for 1 h and immediately later injected with snail saline; (3) snails of the ‘LPS group (full red bars)’, which were first injected with LPS and three hours later, and were exposed for the first time to carrot slurry; (4) snails of the ‘Garcia effect group’ (diagonal red bars), which were exposed to carrot slurry 1 h before and 3 h after being injected with LPS; and (5) snails of the ‘ASA_LPS group’ (diagonal grey bars), which were exposed to carrot slurry 1 h before and 3 h after being exposed to ASA for 1 h and immediately after were injected with LPS. Snails that learned and formed the Garcia effect memory are indicated with a ‘+’ below each bar, whereas those which did not form the Garcia effect were marked with a ‘-’ below the bars. After the exposure to the carrot slurry, snails were sacrificed, the central ring ganglia were dissected, and the RNA was extracted. RT-qPCR was employed to analyze the mRNA levels in the study, with a sample size of 8 for each group. The data were presented as means ± SEM and statistically analyzed using One-way ANOVA, followed by Tukey post hoc analyses. Statistical significance was denoted as **** p < 0.0001, *** p < 0.001, ** p < 0.01, * p < 0.05.
Biology 12 01100 g003
Table 1. The nucleotide sequences of the forward and reverse primers utilized for RT-qPCR are provided. Additionally, the accession number and size (in base pairs) of the PCR product obtained through cDNA (mRNA) amplification for each target are also specified.
Table 1. The nucleotide sequences of the forward and reverse primers utilized for RT-qPCR are provided. Additionally, the accession number and size (in base pairs) of the PCR product obtained through cDNA (mRNA) amplification for each target are also specified.
Gene Bank AccessionTargetProduct Length (bp) Type Sequence
X15542.1 Snail, beta-tubulin
LymbTUB
100 bp
(92–192)
FW: GAAATAGCACCGCCATCC
RV: CGCCTCTGTGAACTCCATCT
DQ278441.1Lymnaea stagnalis elongation factor 1-alpha,
LymEF1α
150 bp
(7–157)
FW: GTGTAAGCAGCCCTCGAACT
RV: TTCGCTCATCAATACCACCA
AY577328.1Lymnaea stagnalis Toll-like receptor 4
LymTLR4
100 bp
(74–174)
FW: GGAGGGTCAAGCATAAAGTGT
RV: CATCAAGGTCAACGCCAAT
U58769.1Lymnaea stagnalis molluscan defense molecule precursor
LymMDM
104 bp
(1614–1718)
FW: CGGGTACACACACAGATGGA
RV: TGACTGAACATTGGGCACAC
DQ206432.1Lymnaea stagnalis heat-shock protein 70
LymHSP70
199 bp
(134–333)
FW: AGGCAGAGATTGGCAGGAT
RV: CCATTTCATTGTGTCGTTGC
AY571900.1Lymnaea stagnalis NMDA-type glutamate receptor subunit 1
LymGRIN1
140 bp
(831–917)
FW: AGAGGATGCATCTACAATTT
RV: CCATTTACTAGGTGAACTCC
FX180835Lymnaea stagnalis NMDA-type glutamate receptor subunit 2A
LymGRIN2A
129 bp
(3454–3583)
FW: GATCACCAAGGATGATTACT
RV: CTTGGCTATATTCAAGTCTGT
FX180839Lymnaea stagnalis NMDA-type glutamate receptor subunit 2B
LymGRIN2B
126 bp
(4147–4273)
FW: GACTCCTCTGTTTTGGAATA
RV: GGTTCCTTGATGGTTTATTA
FX183516.1Lymnaea stagnalis AMPA-type glutamate receptor subunit 1
LymGRIA1
111 bp
(1205–1316)
FW: AGACTGTTGTAGCTGTCCTT
RV: ATAGCTATTGGATTTCTTGC
AB041522.1Lymnaea stagnalis cAMP responsive element binding protein
LymCREB1
180 bp
(49–229)
FW: GTCAGCAGGGAATGGTCCTG
RV: ACCGCAGCAACCCTAACAA
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Rivi, V.; Batabyal, A.; Lukowiak, K.; Benatti, C.; Rigillo, G.; Tascedda, F.; Blom, J.M.C. LPS-Induced Garcia Effect and Its Pharmacological Regulation Mediated by Acetylsalicylic Acid: Behavioral and Transcriptional Evidence. Biology 2023, 12, 1100. https://doi.org/10.3390/biology12081100

AMA Style

Rivi V, Batabyal A, Lukowiak K, Benatti C, Rigillo G, Tascedda F, Blom JMC. LPS-Induced Garcia Effect and Its Pharmacological Regulation Mediated by Acetylsalicylic Acid: Behavioral and Transcriptional Evidence. Biology. 2023; 12(8):1100. https://doi.org/10.3390/biology12081100

Chicago/Turabian Style

Rivi, Veronica, Anuradha Batabyal, Ken Lukowiak, Cristina Benatti, Giovanna Rigillo, Fabio Tascedda, and Joan M. C. Blom. 2023. "LPS-Induced Garcia Effect and Its Pharmacological Regulation Mediated by Acetylsalicylic Acid: Behavioral and Transcriptional Evidence" Biology 12, no. 8: 1100. https://doi.org/10.3390/biology12081100

APA Style

Rivi, V., Batabyal, A., Lukowiak, K., Benatti, C., Rigillo, G., Tascedda, F., & Blom, J. M. C. (2023). LPS-Induced Garcia Effect and Its Pharmacological Regulation Mediated by Acetylsalicylic Acid: Behavioral and Transcriptional Evidence. Biology, 12(8), 1100. https://doi.org/10.3390/biology12081100

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

Article Metrics

Back to TopTop