Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2018 Jul 31;13(7):e0200016. doi: 10.1371/journal.pone.0200016

Cannabidiol effects on behaviour and immune gene expression in zebrafish (Danio rerio)

Hannah M Jensen 1,*, Rozalia Korbut 1, Per W Kania 1, Kurt Buchmann 1
Editor: Yann Gibert2
PMCID: PMC6067702  PMID: 30063756

Abstract

Various preparations and extracts of the plant Cannabis sativa (family cannabaceae) are used as herbal medicinal drugs against a series of disorders but the plant contains a wide series of pharmacologically active components which may confound evaluation of drug effects. In order to differentiate specific effects of the individual constituents on specific functions in the organism we advocate for controlled studies on specified constituents and their impact on the vertebrate organism. One of the dominating Cannabis constituents, delta(9)-tetrahydrocannabinol (THC), has previously been studied in depth whereas information on another main ingredient cannabidiol (CBD) is limited. We have performed a controlled study on CBD and its effect using an experimental zebrafish model. CDB treatment of zebrafish for 30 min affected mobility of the fish by decreasing swimming speed and swimming distance. In addition, out of 23 immune related genes studied it was shown that expression of two genes il1b and il17a/f2 were up-regulated and four genes, tgfba, ighm, cd4-1, and s100a10b were significantly down-regulated following CBD treatment. The study indicated that CBD affects motility and immunity of the vertebrate host.

Introduction

Various preparations and extracts of Cannabis sativa (family cannabaceae), used either for medical or recreational purposes, have been reported to affect the level of stress, anxiety, depression and even induce euphoria [1]. However, C. sativa is composed of 85 different constituents, termed cannabinoids [2], and in order to achieve full understanding of pharmacological effects of this plant on the vertebrate organism it is necessary to evaluate each of the individual components. Cannabidiol (CBD) is one of the major constituents in C. sativa but information on its precise action mechanisms is limited. CBD is generally considered a non-psychoactive compound but has been reported to reduce epileptic seizures in a rat model [3][4], alter behaviour and anxiety in mice lacking the CBD receptor CB1R [1], possess anti-oxidative and anti-apoptotic properties in rat cells [5], exert anti-inflammatory effects in mice [6][7], induce apoptosis in immortalized and primary glial cells [5] [8], and in human glioma cells [9][10][11][12]. CBD has low affinity for cannabinoid receptors, but antagonizes CB1R/CB2R agonists whereby CBD may inhibit immune cell migration and counteract inflammation [13]. With regard to the immune regulating effect of CBD it is noteworthy that CBD has been shown to inhibit production of il10 in human T-cells, increase cxcl8a, MIP-1a and MIP-1b levels in an eosinophilic leukemia cell line and inhibit cxcl8a production in a HTLV-1 positive B cell line [14]. The scattered evidence of important physiological CBD effects call for additional basic studies on CBD effects in vertebrates and we have chosen a zebrafish model for elucidation of behavioural and immunological impacts. The zebrafish (Danio rerio) is a vertebrate organism with high resemblance to humans with regard to the genome (approximately 70%) [15], biochemical pathways [16] and response to neurotropic drugs [17] and therefore we selected zebrafish as a suitable model in this study with focus on behaviour and immune gene expression in CBD treated zebrafish. By exposing adult wildtype zebrafish to purified CBD in a fixed concentration and subsequently measuring behavioural changes (swimming speed and distance) and recording expression of an array of central immune genes we demonstrate that CBD both affects locomotory abilities, inflammation and immunity.

Materials and methods

Ethic statement

All experiments were conducted under license no. 2013-15-2934-00867 approved by the Animal Experiments Inspectorate under the Danish Ministry of Environment and Food, Agriculture and Fisheries, Denmark.

Animals and housing

Wild–type zebrafish (Danio rerio) of own in-house breed were reared in a recirculated system (10% daily water exchange) (Aquaschwarz, Germany) at 28°C with a light-darkness cycle of 14h L: 10h D, pH 7.4 and conductivity 550 μS at our experimental zebrafish facility at the University of Copenhagen, Frederiksberg, Denmark. Fish were fed live Artemia and pelleted dry feed (ZM Fish Food, England) twice a day. Adult fish (age 6 months) were used and when experimentally exposed in water we applied sterile filtered (0.2 μm) (Sartorius) fish tank water.

Chemicals used

CBD (stock solution 10 mg/mL in 1 ml ethanol, Sigma-Aldrich cat. number 90899-1ML) was used to obtain the desired concentration of 40 mg/L by adding 0.2 mL CBD stock solution to 49.8 mL of sterile-filtered zebrafish system water (final volume 50 mL). A corresponding solvent control (ethanol solution without CBD) was produced by adding 0.2 mL 96% ethanol (Plum A/S cat. number 201146) to 49.8 mL sterile-filtered system water (0.4% ethanol). Similarly filtered system water served as pure water control (no solvent, no CBD).

Experimental design when studying gene expression

A total of 30 zebrafish was divided into three experimental groups (each containing 2x5 fish): 1) pure water control (facility water), 2) solvent control (0.4% ethanol) and 3) CBD (CBD in 0.4% ethanol in water). Before experimental start each duplicate group was acclimatized for 1h in a 1.8L tank containing water from the facility whereafter individual fish were placed separately in a well (6-well plate, Greiner bio-one, CELLSTAR) containing 10 ml of the test solution. After 30 min exposure (water, ethanol or CBD) fish were euthanized by immersion into an overdose (30 mg/L) etomidate (Sigma-Aldrich, Denmark) solution, subsequently dissected under a stereomicroscope (Leica MZ12.5, Leica Denmark) and internal organs (intestine, liver, spleen) transferred to RNAlater (Sigma-Aldrich, Denmark). Preserved material was kept at 4°C for 24h and then frozen at -20°C until processing for gene expression studies.

Experimental design when studying behaviour

A total of 30 adult zebrafish, divided into three experimental groups (each comprising 2x5 fish), was observed following exposure (25°C) to 1) sterile filtered system water (water control), 2) 0.4% ethanol solution (solvent control) and 3) 40 mg/L CBD solution (with 0.4% ethanol as solvent). Video tracking and swim track analysis of adult zebrafish behaviour was performed by use of the EthoVision XT 10.1 system (Noldus Information Technologies, The Netherlands). Individual fish were exposed in separate wells (containing 10 ml test solution) in a 6-well cell culture plate (Greiner bio-one, CELLSTAR. Each fish was separately placed in a well, exposed to the solution for 30 minutes, and transferred to the observation tank (tank dimensions: 24.5x15x15cm) containing 3.12 L filtered system water (water level 8.5 cm). The fish were acclimatized for 3–4 minutes in the tank before 3 min video-recording. Fish movements were followed with a top view camera recording movements over the ground area, and a side view camera recording movements in the water column. The video tracking files were stored for subsequent analysis (Noldus Information Technologies, The Netherlands).

Gene expression

RNA purification and cDNA synthesis

Total RNA was extracted using the GenEluteTM mammalian total RNA kit (Sigma-Aldrich, Denmark) according to the manufacturer’s instruction. In brief, zebrafish organ samples were incubated in 300 μL lysis buffer containing 2-mercaptoethanol and sonicated using a sonic dismembrator (Bie&Berntsen A/S). Genomic DNA was removed by DNase I (ThermoFisher Scientific, Denmark) treatment and the chelating agent EDTA (ThermoFisher Scientific, Denmark) was added. RNA concentration was measured using a NanoDrop 2000 spectrophotometer (Saveen & Werner ApS, Denmark) and quality assessed by 1.5% ethidium bromide stained-agarose gel electrophoresis (Cleaver Scientific Ltd, UK). RNA samples were stored at -80°C until cDNA synthesis performed in Biometra T3 thermocycler (Fisher Scientific, Germany) using 1000ng of RNA, Oligo d(T)16 primers and MultiScribeTM reverse transcription reagents (Applied Biosystems, Denmark). A reaction volume of 20 μL was used at following conditions: (25°C/10min, 37°C/60min, 95°C/5min) and subsequently the reaction product was diluted 10 times into 200 μL with RNase-free water (Invitrogen, Denmark) and stored at -20°C.

Quantitative Real-Time PCR (qPCR)

Gene expression levels were assessed applying a TagMan probe-based assay and an AriaMx Real-Time PCR machine (Agilent Technologies, AH diagnostics A/S, Denmark). Genes investigated encoded cytokines (il1b, il13, il4, il6, cxcl8a, il10, il12a, il17a/f1, il17a/f2, il17a/f3, il22, ifng1, tgfba, tnfa), acute phase proteins (saa) cellular receptors (cd4-1, cd8a), immunoglobulins (ighm, ighz), matrix metalloproteinase-9 (mmp9), transcription factors (gata3, tbx21), calcium binding protein s100a10b and reference genes acbt2, EF-1α and rpl13a. Primers and probes (Table 1) were designed as described by Haarder et al. [18]. The reaction volume 12.5 μL included: 2.5μL of cDNA, 6.25 μL Brilliant III Ultra-Fast QPCR Master Mix (Agilent Technologies, Denmark), 1μL of forward primer and 2.75 μL of RNase-free water. Reaction conditions: 95°C/3 min followed by 40 cycles of denaturation at 95°C for 5 sec combined with annealing/elongation step at 60°C for 15 sec. Negative controls included RT minus and mastermix plus water.

Table 1. Primers and probes used for gene expression analysis.

TagMan probe based qPCR assays according to Haarder et al. (2016). All the assays were optimized to have primer-annealing temperature at 60°C and amplification efficiencies of 100% ±5%. The three genes acbt2, eelf1a1l1 and rpl13a served as reference genes. All the nucleotides are oriented from the 3’end towards the 5’end. The probes were labelled with FAM at 3’end and with BQ1 at the 5’end. Genes names according to ZFIN.org.

Gene Forward primer Reverse primer Probe GenBank
Acc.no.
acbt2 CCATCCTTCTTGGGTATGGA ACAGGTCCTTACGGATGTCG TGCGGTATCCACGAGACCACC BC154531
cd4-1 CCAGACTGGAGCCAAGAGAC CAGTGCAGCTCCACATCACT CCTGCGCACAGTCAGGGAAA EF601915
cd8a TCGGAGGTTGTGGACTTTTC TAATGGTGGGGACATCGTCT CGTTCTGCTGATCGCAACCA BC114236
cxcl8a GATCTGTCTGGACCCCTCTG GGGCATTCATGGTTTTCTGT CCATGGGTTAAGAAGATCATTGATAGG XM_001342570
eelf1a1l1 GAACGACCCACCCATGGAGG TGATGACCTGAGCGTTGAAG GAACGACCCACCCATGGAGG AY422992
gata3 TACGTGTCCCGCTTAAAACC TGAAGGGGCAATGAAGAAAG GGCCTTCACTTTCGCCTGCT BC162389
Ifng1 TATGGGCGATCAAGGAAAAC CTTTAGCCTGCCGTCTCTTG CGATCGTCCAGCGAAAGGCT AB158361
ighm TGCAGTTCTGGTTCTGATGG TGCACAAAATCGCTCAAATC AATCACCCTCGGCTGCTTGG AY643753
ighz ATTGGATGTCTGGCCTCTGA AATGCTGGGTGACGTTTTTC TGCACAAAATCGCTCAAATC AY643750
il1b CGCTCCACATCTCGTACTCA ATACGCGGTGCTGATAAACC GAAGGAGACCGGCAGCTCCA BC098597
Il4 AACTCTCTGCCAAGCAGGAA AAACGCTGCAGTTTCCAGTC GAGACAGCTGAATGCTTATGCAGCA AB375405
il 6 AGACCGCTGCCTGTCTAAAA CAACTTCTCCAGCGTGATGA TCCGCATGGACTCGCAAGAC JN698962
il10 CTTGCCAAAATCCCTTTGAA ATCAAGCTCCCCCATAGCTT TGAAAAGATGAAGGAAAAGGGGG BC163038
il12a AGCAGGACTTGTTTGCTGGT TCCACTGCGCTGAAGTTAGA TAACTCGTCCTGCTCGGCCC AB183001
Il13 GTCAGGCTGAGGAGGAGATG AGCAGCGTGACTCCTGATCT CTGGCCTGTCCGGTGTCAAA AB375404
il17a/f1 GCTTTCTTATGGTGGCTTGC GCCGGTATGAATGATCTGCT ATCATTCGGTGCTGAGGGGG AB195256
il17a/f2 TCAATCTGAGGACGGAAAGG GCTCCATCTCCTGTTTCAGC CATCTTGCCCACTGGTGTGGA NM_001020798
il17a/f3 GGCTGCACATGTGTTTTACC CAATGTGATTCGTTTTCAGGCT CAGCGCCTATAGAAATAATCACTCCG AB195260
il 22 GGATTACGCCAAAGGTGAAA CGAGCACAGCAAAGCAATAA CGACATCGAGGAACAACGGTG NM_001020792
mmp9 ACAGGGAGACGCTCATTTTG TGTTCCCTCAAACAGGAAGG CGGTAATGCTGAGGGTGCAATGTGT BC160656
rpl13a TCCCAGCTGCTCTCAAGATT ACTTCCAGCCAACTTCATGG CACACGCAAATTTGCCCTGC NM_212784
s100a10b GCAGAGGGGAACTCATCAAC CCCACCACAAGAGACACAAA CAGCTGATGGAGAAAGAGCTGGC BC163954
saa CTTGCTGTGCTGGTGATGTT CTTCCAATTGGCCTCTTTCA CGCTGGAGGTGCAAAGGACA BC081487
tbx21 AAATCCAGGAGCATGGACAG TGAGACTGGATGTGGGTTTG TGGTTTTCCTATTGGAAGGCGG AM942761
tgfba TGCGCAAGCTTTACATTGAC AGGACCCCATGCAGTAGTTG TGGATCCACAAGCCCAAGGG AY178450
tnfa GCGCTTTTCTGAATCCTACG AAGTGCTGTGGTCGTGTCTG TGCACGCAGGAGCCTGAATC AY427649

Data analyses and statistics

For relative gene expression determination, the 2−ΔΔCT method by Livak & Schmittgen [19] was used. The geometric mean of the ethanol groups served as control group for the CBD group due to the use of ethanol as a solvent for CBD. A more comprehensive resume of all the gene expression results is available in the Supporting Information (S1 Table). In order to reveal the effect of ethanol itself, the solvent for CBD, S1 Table includes results obtained by using the water groups as control groups.

An average of three reference genes (acbt2, elongation factor (eelf1a1l1), ribosomal rpl13a) was applied for normalization. Data were compared for all treatments and related to both water and ethanol controls using Student’s t-test and a probability level of 5%. The qualitative regulations were assessed by a Mann-Whitney U-test applying the same probability level.

In order to obtain a 3D spatial reconstruction of fish movement, fish movement data were subjected to Track3D (Noldus Information Technologies, The Netherlands) and subsequently analysed in RapidMiner Studio 6.3 (RapidMiner, USA). Raw data was used for statistical analysis. To assess whether the behaviour in the different experimental groups were statistically different from each other, a one-tailed Student’s t-test was used to compare mean swimming speed and distance using a 5% probability level.

Results

Behaviour of zebrafish exposed to CBD

Following 30 min exposure to either filtered system water (water control), ethanol solution (ethanol control) or CBD solution, zebrafish were tested with regard to swimming performance in a test tank for 3 min. Examples of 3D tracks of zebrafish movements under different conditions are shown in Fig 1. Statistically significant differences with regard to swimming velocity and total swimming distance were found between water control fish and CBD-exposed fish and between ethanol control fish and CBD-exposed fish. Thus during the 3 min observation, the top view revealed the CBD treated fish moved with 63% and 71% of the velocity (Table 2) of water and ethanol control fish, respectively; the same numbers from the side view were 57% and 62%, respectively. No difference in behaviour between fish kept in water and fish exposed to ethanol (solvent control) were recorded (Table 2 and Fig 2).

Fig 1. Examples of 3D-tracking of fish movements.

Fig 1

Three examples illustrating the different movement patterns of zebrafish following exposure to water, ethanol and CBD. Different colours indicates the time intervals during the study period of 3 min as indicated by the top bar, starting at 0 min with dark blue via green and yellow ending with dark red at 3 min. A) CBD treated zebrafish, B) System water treated zebrafish and C) Ethanol treated zebrafish.

Table 2. Behavioural effects of CBD on zebrafish.

The fish were exposed for 30 min to either CBD dissolved in ethanol, ethanol alone or water. The behaviour, reflected as swimming distance and swimming velocity, was recorded by top and side view cameras.

Ratio t-test Ratio t-test Ratio t-test
Ethanol vs Water CBD vs Water CBD vs Ethanol
Top view Velocity 1.12 0.11 0.63 0.01* 0.71 0.04*
Distance 0.89 0.11 0.63 0.01* 0.71 0.04*
Side view Velocity 0.92 0.18 0.57 <0.01* 0.62 0.01*
Distance 0.91 0.17 0.57 <0.01* 0.62 0.01*
Water Ethanol CBD
Top view vs Side view Velocity 1.32 <0.01* 1.29 0.02* 1.47 0.09
Distance 1.32 <0.01* 1.29 0.02* 1.47 0.09

*: p<0.05, Student’s t-test.

Upper part of the table (above the dotted line): comparison of treatment groups. Lower part of the table (under the dotted line): comparison between top and side views.

Fig 2. Swimming behaviour of zebrafish reflected by the mean distances and the mean swimming velocities after 30 min exposure to either CBD dissolved in ethanol, ethanol alone or water.

Fig 2

The top views and the side views are treated individually. *: p<0.05, Student’s t-test.

Gene expression analyses

A total of 23 immune related genes were investigated. The expression level of individual genes varied in all groups and the highest expression was seen for genes encoding s100a10b followed by tgfba, ighm and il1b genes while il22 and il10 genes displayed the lowest level of expression (Fig 3). Significantly regulated specific genes are shown below (Fig 4) but all gene expression data are presented in the Supporting Information (S1 Table).

Fig 3. General gene expression level of the genes investigated.

Fig 3

Samples having Cq values (all groups) are presented. The relative gene expression levels of the individual genes was calculated by 2-ΔCq followed by normalization to the geometric mean of il6, which had the lowest expression level. The black lines indicate geometric means. The gene s100a10b had the highest overall expression level by having a geometric mean 1019 folds higher than il6.

Fig 4. Gene expression analysis.

Fig 4

The figure shows the geometric mean and geometric SD of the expression of 6 out of 23 immune related genes studied by quantitative real time PCR and analyzed by the 2−ΔΔCT method [19]. Only statistically significant results p<0.5 (Student’s t-test) are shown. The folds (2−ΔΔCT) below 1 appear as fractions (e.g. 1/8 indicating 8 fold down regulation). A more comprehensive resume of all the gene expression results is available in S1 Table.

Immune gene expression in zebrafish exposed to CBD compared to ethanol control fish

Two cytokine genes were significantly up-regulated following CBD exposure when compared to ethanol control fish. Thus the gene encoding il1b was slightly up-regulated (1.96 fold), and the gene encoding il17a/f2 was highly up-regulated (36.52 fold). The following four genes were significantly downregulated: tgfba -1.93 fold, ighm -2.32 fold, cd4-1–2.44 fold and s100a10b -1.81 fold (see S1 Table).

Immune gene expression in zebrafish exposed to CBD compared to water control

Three cytokine genes were significantly up-regulated compared to water control fish. Thus, the genes encoding il1b, il13 and il17a/f1 were up-regulated with 5.16 fold, 1.78 fold and 2.63 fold, respectively. In addition, the genes encoding matrix metalloproteinase mmp9, transcription factor tbx21 and cellular receptor cd8a were up-regulated with 4.38, 2.61 and 2.15 fold, respectively.

Immune gene expression in zebrafish exposed to ethanol compared to water control

Four cytokine genes were up-regulated in ethanol exposed fish when compared to water exposed control fish. Thus, genes encoding il1b, il13, il17a/f1 and tgfba were up-regulated 2.62 fold, 1.73 fold, 2.07 fold and 1.86 fold, respectively. Two transcription factor genes were up-regulated, including gata3 (2.15 fold) and tbx21 (3.36 fold). Two cellular receptor genes were up-regulated comprising cd4-1 (1.77 fold) and cd8a (2.33 fold). Two immunoglobulin genes encoding ighm and ighz were up-regulated 2.62 fold and 2.27 fold, respectively. Other genes that were up-regulated included mmp9 3.96 fold and s100a10b 1.62 fold.

Even though several genes were up- or down-regulated as depicted above, many did not meet our criteria of a two-fold regulation. Taking this into consideration the list of significantly regulated genes are limited to il17a/f2, ighm and cd4-1 for CBD-exposed fish when compared to ethanol-exposed control fish. For CBD-exposed fish compared to water control fish only il1b, il17a/f1, mmp9, tbx21 and cd8a met the criteria, and for ethanol-exposed fish compared to water control fish genes encoding il1b, gata3, tbx21, cd8a, ighm, ighz and mmp9 were regulated.

Discussion

The effects and impact of Cannabis sativa products are under discussion due to their wide usage as drugs and therapeutants [20][21]. However, many of the crude extracts and preparations of the plant contain numerous chemical constituents with different pharmacological actions (2) whereby the debate may appear un-focused. One of the major constituents (CBD) in C. sativa extracts has been studied to some extent in rodent models and cell cultures but scientific documentation of its effects is still scattered and incomplete. Epidemiological studies have not yet documented severe side effects of CBD on humans but scientific evidence from controlled experimental studies may qualify the discussion. In the present study we applied zebrafish as an experimental model to elucidate effects of CBD on behaviour and immune gene expression in a vertebrate organism. We found that adult wild-type zebrafish exposed to 40 mg/L cannabidiol for 30 min significantly altered behaviour, both when the CBD treated group was compared to fish exposed to water alone or water with solvent (ethanol). The solvent in our CBD preparation was ethanol, which is a mild irritant itself [22], but in this study we could not demonstrate any significant effect on swimming performance of fish which is consistent with previous behavioural studies on zebrafish acutely and chronically exposed to ethanol [23]. In contrast, CBD exposure clearly influenced the locomotory ability of our experimental fish. The CBD treated group exhibited a marked decrease of swimming performance (reflected as velocity and distance) when compared both to ethanol and water exposed fish.

The shorter distance moved is of course reflected in the swimming speed (velocity) of CBD treated fish (7.8 cm/sec), contrasting the water and ethanol treated fish showing velocities of 12.4 cm/sec and 11.0 cm/sec, respectively. It was not only swimming speed which was depressed by CBD. Expression of certain immune genes were down-regulated. This suggests that CBD intake, one of the main ingredients of cannabis, may affect both behaviour and immunity of higher vertebrates which should be considered when discussing CBD effects on humans. The effects may be due to a direct interaction between unaltered CBD and the host but as it is known that CBD degrades into THC in gastric fluid [24] it cannot be excluded that CBD to some extent was converted into THC in the zebrafish stomach and may confound our study on direct CBD effects on the fish. Further studies should therefore elucidate behavioural changes due to THC and CBD in a dose-response manner securing that the experimental set-up prevents degradation of CBD in the fish stomach. The present study demonstrated a distinct activation of genes encoding pro-inflammatory cytokines (il1b and il17a/f2) following CBD exposure which indicate that a certain state of inflammation was induced by CBD. il17a/f2 expressed in zebrafish is homologous to IL-17A and IL-17F in humans [25] and acts as an inflammatory cytokine also in trout [26]. This observation is in line with upregulation of il1b which also is a pro-inflammatory cytokine in zebrafish [18]. In contrast other immune related genes were down regulated including ighm and cd4-1. Further, if we ignore the criteria of a two-fold regulation or higher, we see a trend for down-regulation of genes encoding immune molecules such as tgfba and s100a10b whereas cd8a was up-regulated. The immune regulating effect of CBD was suggested previously based on clinical trials [27] but additional detailed information about skewing of immune pathways may be obtained from further studies using the zebrafish model.

In conclusion, we saw a significant behavioural change of zebrafish following exposure to a 40 mg/L CBD solution, which significantly decreased swimming speed and swimming distance. The gene expression investigations showed an upregulation of two innate immune genes (il1b and il17a/f2) but down-regulation of several other immune related genes including tgfba, s100a10b, ighm and cd4-1. Our study may be partly biased due to a possible CBD degradation to THC in the experimental animal stomach. Additional behavioural and gene expression studies should therefore supplement the presented study and describe the extent of CBD degradation (if any) in the zebrafish stomach. The zebrafish model seems applicable for elucidation of cannabinoid effects on the vertebrate organism and may contribute to our understanding of C. sativa products in human patients.

Supporting information

S1 Table. Gene expression level and significance level.

Green scaled numbers indicate significant gene regulation. Blue scaled Percent valid Cq indicates that Cq is below the threshold of 40%. Threshold for fold is 2. Down-regulation marked in red.

(XLSX)

S2 Table. Behavioural effects of CBD on zebrafish.

Raw data from the behavioural experiment and comparison of treatment groups p<0.05, Student’s t-test.

(XLSX)

S3 Table. Cq values from qPCR.

(XLSX)

Data Availability

Data are from the Cannabidiol effects on zebrafish study whose authors may be contacted at hfx540@alumni.ku.dk; kub@sund.ku.dk; pwk@sund.ku.dk; roz@sund.ku.dk. Raw data sets are available in the Supporting Information files. For questions regarding data, please contact Hannah M. Jensen at hannahmjensen@hotmail.com.

Funding Statement

This research was supported by Villum Fonden (VKR022858 to KB); http://veluxfoundations.dk/da. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Hill MB, Gorzalka BB. Pharmacological enhancement of cannabinoid CB1 receptor activity. European Neuropsychopharmacology, 2005;15: 593–599. 10.1016/j.euroneuro.2005.03.003 [DOI] [PubMed] [Google Scholar]
  • 2.Jaques SC, Kingsbury A, Henshcke P, Chomchai C, Clews S, Falconer J et al. Cannabis, the pregnant woman and her child: weeding out the myths. Journal of Perinatology. 2014;34: 417–424. 10.1038/jp.2013.180 [DOI] [PubMed] [Google Scholar]
  • 3.Consroe P, Wolkin A. Cannabidiol–antiepileptic drug comparisons and interactions in experimentally induced seizures in rats. The Journal of pharmacology and experimental therapeutics. 1977;201(1): 26–32. [PubMed] [Google Scholar]
  • 4.Friedman D, Devinsky O. Cannabinoids in the Treatment of Epilepsy. The New England Journal of Medicine. 2015;373: 1048–1058. 10.1056/NEJMra1407304 [DOI] [PubMed] [Google Scholar]
  • 5.Iuvone T, Esposito G, Esposito R, Santamaria R, Di Rosa M, Izzo AA. Neuroprotective effect of cannabidiol, a non-psychoactive component from Cannabis sativa, on beta-amyloid-induced toxicity in PC12 cells. Journal of neurochemistry. 2004;89(1): 134–141. 10.1111/j.1471-4159.2003.02327.x [DOI] [PubMed] [Google Scholar]
  • 6.Lodzki M, Godin B, Rakou L, Mechoulam R, Gallily R, Touitou E. Cannabidiol-transdermal delivery and anti-inflammatory effect in a murine model. Journal of Controlled Release. 2003;93(3): 377–387. [DOI] [PubMed] [Google Scholar]
  • 7.Ribeiro A, Ferraz-de-Paula V, Pinheiro ML, Vitoretti LB, Mariano-Souza DP, Quinteiro-Filho WM et al. Cannabidiol, a non-psychotropic plant-derived cannabinoid, decreases inflammation in a murine model of acute lung injury: role for the adenosine A(2A) receptor. European Journal of Pharmacology. 2012; 678(1–3): 78–85. 10.1016/j.ejphar.2011.12.043 [DOI] [PubMed] [Google Scholar]
  • 8.Wu HY, Goble K, Mecha M, Wang CC, Huang CH, Guaza C et al. Cannabidiol-induced apoptosis in murine microglial cells through lipid raft. Glia. 2012;60(7):1182–90. 10.1002/glia.22345 [DOI] [PubMed] [Google Scholar]
  • 9.Gallily R, Even-Chen T, Katzavian G, Lehmann D, Dagan A, Mechoulam R. γ-Irradiation Enhances Apoptosis Induced by Cannabidiol, a Non-psychotropic Cannabinoid, in Cultured HL-60 Myeloblastic Leukemia Cells. Leukemia & Lymphoma. 2003;44(10): 1767–1773. [DOI] [PubMed] [Google Scholar]
  • 10.Massi P, Vaccani A, Ceruti S, Colombo A, Abbracchio MP, Parolaro D. Antitumor effects of cannabidiol, a nonpsychoactive cannabinoid, on human glioma cell lines. Journal of Pharmacology and Experimental Therapeutics. 2004;308: 838–845. 10.1124/jpet.103.061002 [DOI] [PubMed] [Google Scholar]
  • 11.Massi P, Vaccani A, Bianchessi S, Costa B, Macchi P, Parolaro D. The non-psychoactive cannabidiol triggers caspase activation and oxidative stress in human glioma cells. Cellular and Molecular Life Sciences. 2006;63:2057–2066. 10.1007/s00018-006-6156-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Ramer R, Heinemann K, Merkord J, Rohde H, Salamon A, Linnebacher M et al. COX-2 and PPAR-γ confer cannabidiol-induced apoptosis of human lung cancer cells. Molecular Cancer Therapeutics. 2012;12(1):69–82. 10.1158/1535-7163.MCT-12-0335 [DOI] [PubMed] [Google Scholar]
  • 13.Tanasescu R, Constantinescu CS. Cannabinoids and the immune system: An overview. Immunobiology. 2010;215: 588–597. 10.1016/j.imbio.2009.12.005 [DOI] [PubMed] [Google Scholar]
  • 14.Srivastava MD, Srivastava BI, Brouhard B. D9-Tetrahydrocannabinol and cannabidiol alter cytokine production by human immune cells. Immunopharmacology. 1998;40(3): 179–185. [DOI] [PubMed] [Google Scholar]
  • 15.Howe K, Clark MD, Torroja CF, Torrance J, Berthelot C, Muffato M et al. The zebrafish reference genome sequence and its relationship to the human genome. Nature. 2013;496(7446): 498–503. 10.1038/nature12111 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Lillesaar C. The serotonergic system in fish. Journal of Chemical Neuroanatomy. 2011;41: 294–308. 10.1016/j.jchemneu.2011.05.009 [DOI] [PubMed] [Google Scholar]
  • 17.Kalueff AV, Stewart AM, Gerlai R. Zebrafish as an emerging model for studying complex brain disorders. Trends in Pharmacological Sciences. 2014;35(2): 63–75. 10.1016/j.tips.2013.12.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Haarder S, Kania PW, Holm TL, Ohtani M, Buchmann K. Comparison of Two Chemically-Induced Colitis-Models in Adult Zebrafish, Using Optical Projection Tomography and Novel Transcriptional Markers. Open Journal of Immunology. 2016;6: 154–180. [Google Scholar]
  • 19.Livak KJ, Schmittgen TD. Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method. Methods. 2001;25(4): 402–408. 10.1006/meth.2001.1262 [DOI] [PubMed] [Google Scholar]
  • 20.Zuardi AW, Crippa JAS, Hallak JEC, Moreira FA, Guimarães FS. Cannabidiol, a Cannabis sativa constituent, as an antipsychotic drug. Brazilian Journal of Medical and Biological Research. 2006;39(4): 421–429. doi: /S0100-879X2006000400001 [DOI] [PubMed] [Google Scholar]
  • 21.Bergamaschi MM, Queiroz RH, Zuardi AW, Crippa JA. Safety and side effects of cannabidiol, a Cannabis sativa constituent. Current Drug Safety. 2011; 6(4): 237–249. [DOI] [PubMed] [Google Scholar]
  • 22.Brugman S, Liu KY, Lindenbergh-Kortleve D, Samsom JN, Furuta GT, Renshaw SA et al. Oxazolone-Induced Enterocolitis in Zebrafish Depends on the Composition of the Intestinal Microbiota. Gastroenterology. 2009;137: 1757–1767. 10.1053/j.gastro.2009.07.069 [DOI] [PubMed] [Google Scholar]
  • 23.Gerlai R, Lee V, Blaser R. Effects of acute and chronic ethanol exposure on the behavior of adult zebrafish (Danio rerio). Pharmacology, Biochemistry, and Behavior. 2006;85(4): 752–761. 10.1016/j.pbb.2006.11.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Merrick J, Lane B, Sebree T, Yaksh T, O'Neill C, Banks SL. Identification of Psychoactive Degradants of Cannabidiol in Simulated Gastric and Physiological Fluid. Cannabis and Cannabinoid Research. 2016;1(1):102–112. 10.1089/can.2015.0004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Gunimaladevi I, Savan R, Sakai M. Identification, Cloning and Characterization of Interleukin-17 and Its Family from Zebrafish. Fish and Shellfish Immunology. 2006;21:393–403. 10.1016/j.fsi.2006.01.004 [DOI] [PubMed] [Google Scholar]
  • 26.Monte MM, Wang T, Holland JW, Zou J, Secombes CJ. Cloning and Characterization of Rainbow Trout Interleukin-17A/F2 (IL-17A/F2) and IL-17 Receptor A: Expression during Infection and Bioactivity of Recombinant IL-17A/F2. Infection and Immunity. 2013;81(1): 340–353. 10.1128/IAI.00599-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.French JA, Koepp M, Naegelin Y, Vigevano F, Auvin S, Rho JM et al. Clinical studies and anti-inflammatory mechanisms of treatments. Epilepsia. 2017;58: 69–82. 10.1111/epi.13779 [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

S1 Table. Gene expression level and significance level.

Green scaled numbers indicate significant gene regulation. Blue scaled Percent valid Cq indicates that Cq is below the threshold of 40%. Threshold for fold is 2. Down-regulation marked in red.

(XLSX)

S2 Table. Behavioural effects of CBD on zebrafish.

Raw data from the behavioural experiment and comparison of treatment groups p<0.05, Student’s t-test.

(XLSX)

S3 Table. Cq values from qPCR.

(XLSX)

Data Availability Statement

Data are from the Cannabidiol effects on zebrafish study whose authors may be contacted at hfx540@alumni.ku.dk; kub@sund.ku.dk; pwk@sund.ku.dk; roz@sund.ku.dk. Raw data sets are available in the Supporting Information files. For questions regarding data, please contact Hannah M. Jensen at hannahmjensen@hotmail.com.


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES