A Systematic Review of the Molecular and Cellular Alterations Induced by Cannabis That May Serve as Risk Factors for Bipolar Disorder
Biomedical Research and Innovation Institute of Cadiz (INiBICA), Research Unit, Puerta del Mar University Hospital, Cádiz, Spain
Neuropsychopharmacology and Psychobiology Research Group, Universidad de Cádiz, Cádiz, Spain
Department of Medicine, School of Medical Sciences, Universitat Jaume I, Castellón de la Plana, Spain
Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain
Department of Psychiatry, Hospital Universitario de Alava, BIOARABA, UPV/EHU, CIBERSAM, Vitoria-Gasteiz, Spain
Biomedical Research and Innovation Institute of Cadiz (INiBICA), Research Unit, Puerta del Mar University Hospital, Cádiz, Spain
Neuropsychopharmacology and Psychobiology Research Group, Universidad de Cádiz, Cádiz, Spain
Department of Psychology, Universidad de Cádiz, Puerto Real (Cádiz), Spain
Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain
Biomedical Research and Innovation Institute of Cadiz (INiBICA), Research Unit, Puerta del Mar University Hospital, Cádiz, Spain
Neuropsychopharmacology and Psychobiology Research Group, Universidad de Cádiz, Cádiz, Spain
Department of Neuroscience, Universidad de Cádiz, Cádiz, Spain
Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain
Abstract
Background
Cannabis use is a risk factor of psychiatric illness, such as bipolar disorder type-I (BDI). Indeed, cannabis use strongly influences the onset and clinical course of BDI, although the biological mechanisms underlying this interaction remain unknown. Therefore, we have reviewed the biological mechanisms affected by cannabis use that may trigger BD.
Methods
A systematic review was carried out of articles in which gene expression was studied in cannabis users or human-derived cells exposed to tetrahydrocannabinol (THC) or cannabidiol (CBD). A second systematic review was then performed to identify articles in which gene expression was studied in BDI samples, highlighting those that described alterations to the same molecular and cellular mechanisms affected by cannabis/THC/CBD.
Results
The initial search identified 82 studies on cannabis and 962 on BDI. After removing duplicates and applying the inclusion/exclusion criteria, 9 studies into cannabis and 228 on BDI were retained. The molecular and cellular mechanisms altered by cannabis use or THC/CBD exposure were then identified, including neural development and function, cytoskeletal function, cell adhesion, mitochondrial biology, inflammatory related pathways, lipid metabolism, the endocannabinoid system, the hypocretin/orexin system, and apoptosis. Alterations to those activities were also described in 19 of 228 focused on BDI.
Conclusions
The biological mechanisms described in this study may be good candidates to the search for diagnostic biomarkers and therapeutic targets for BDI. Because cannabis use can trigger the onset of BD, further studies would be of interest to determine whether they are involved in the early development of the disorder, prompting early treatment.
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Keywords: Cannabis, bipolar disorder, risk factor, biomarker
Article notes
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Received 2023 Jul 26; Accepted 2024 Jan 3; Collection date 2024 Feb.
INTRODUCTION
Bipolar disorder type-I (BDI) is a severe psychiatric disorder involving cyclic mood oscillations (Shinozaki and Potash, 2014). If not properly treated, it can lead to suicide in 15% of cases (Andreazza and Young, 2014). This pathology lies in the leading positions for morbidity and for a loss of productivity according to the World Health Organization (Dusetzina et al., 2012). Genetics is an important risk factor; twin studies reported 85% of heritability (McGuffin et al., 2003; Kieseppä et al., 2004). Understanding how the identified susceptibility genes affect cell behavior and how they are influenced by the environment remains a challenge (Ferreira et al., 2008; Sklar et al., 2011; Craddock and Sklar, 2013).
Cannabis is a significant environmental risk factor in psychiatry (Hasin et al., 2016), particularly in the development of psychosis and mania (González-Pinto et al., 2008; Lagerberg et al., 2014). Individuals with BDI often experience psychotic symptoms and are at a higher risk of cannabis use (CU). Indeed, a recent study using artificial intelligence approaches to predict BD found that CU was among the most important predictors (Rabelo-da-Ponte et al., 2020). A similar situation arises with cannabis use disorder (CUD), indicating that BD and CUD share one of the highest comorbidities among all psychiatric disorders (Lalli et al., 2021). Indeed, 17% of people with BD have a lifetime CUD in contrast to 6% of the general population, and 7.2% of BD patients have had a CUD for the past year as opposed to 1.2% of the general population (Jordan Walter et al., 2021). Similarly, 11.5% of people with mania had a lifetime history of CU, and 6.9% were current cannabis users (Zorrilla et al., 2015).
A recent meta-analysis showed that CU was associated with a 3-fold increased risk of developing BD (Rodriguez et al., 2021). Furthermore, the impact of cannabis on BD is not only linked to the onset of the disorder but also to a worse clinical course. Thus, the assessment of how cannabis affects the outcome of BD has noted that symptoms remained more intense for a longer duration in cases with a history of CU (Strakowski et al., 2007). Nevertheless, although cannabis has been consistently reported as a risk factor for BD (Baethge et al., 2008; Richardson and Garavan, 2011), the biological mechanisms underlying this interaction remain unclear. Considering the shift toward the legalization of CU and the change in attitude regarding its safety and acceptability, this issue is important to resolve. Indeed, the rates of CU continue to rise worldwide (Hasin, 2018; Kraus et al., 2018), and a logical consequence would be an exacerbation of the impact on BD patients.
Accordingly, the goal of this study was to conduct 2 systematic reviews into the molecular and cellular alterations reported in cannabis users and in BDI patients, evaluating potential relationships between them. Thus, studying the common molecular/cellular alterations produced by cannabis and in BDI should help to identify related biological processes that might explain clinical psychopathology, guiding preventative strategies for BD patients who use cannabis.
METHODS
Search Strategy
This systematic review followed the PRISMA statement (Page et al., 2021) and involved a dual systematic search of the literature indexed in PubMed and Web of Science up until January 2023. We searched for articles that studied gene or protein expression in samples from chronic users of cannabis or from human cells after in vitro exposure to delta-9-tetrahydrocannabinol (THC) or cannabidiol (CBD). Moreover, a search for articles that studied human samples from patients with BDI was conducted.
The terms used to search for studies focused on cannabis were the following: (“cannabis” or “marijuana”) AND (“genetic expression” or “gene expression” or “proteomic” or “microarray” or “RNA-seq” or “transcription” or “transcriptomic” or “epigenomic”) AND (“olfactory neuroepithelium” or “iPSC” OR “induced pluripotent stem cells” or “lymphoblastoid cell” or “blood”) NOT (“mice” or “mouse” or “rat” or “rats”). For the second search, the following terms were used to identify potentially eligible publications related to BD: (“bipolar disorder”) AND (“genetic expression” or “gene expression” or “proteomic” or “microarray” or “RNA-seq” or “transcription” or “transcriptomic” or “epigenomic”) AND (“olfactory neuroepithelium” or “iPSC” OR “induced pluripotent stem cells” or “lymphoblastoid cell” or “blood”) NOT (“mice” or “mouse” or “rat” or “rats”).
Eligible for inclusion were only original articles published in English. Duplicates, reviews, and books were removed, and the title, abstract, and methods of the remaining studies were then screened. There were no restrictions on study setting or geographical location. Only studies that analyzed gene or protein expression were included for further review. In the case of articles investigating cannabis exposure, the additional inclusion criteria were studies on current cannabis users or studies in which the effects of cannabis on human cells in culture were tested. Additional exclusion criteria were studies on animal models or studies in which other substances were used. For articles investigating BDI, an additional inclusion criterion was that of studies investigating biological samples from individuals with BDI compared with controls. One author conducted the initial screening and data collection from the included articles, and a second author independently verified the accuracy of the described data during the revision process.
RESULTS
Search Results
The initial search returned 91 reports on CU and 962 reports focused on BDI (Figure 1), from which duplicates and non-original articles were removed. Regarding CU, articles with data on smoked cannabis and studies that assessed treatment with cannabinoid derivatives in vitro were included, whereas studies addressing pathologies other than BDI were excluded from the BDI search. After reviewing the title and abstract, any article addressing topics other than those of interest were excluded. A total of 9 articles met all the inclusion criteria and focused on the molecular pathways or cellular changes induced by CU or THC/CBD exposure in vitro (Figure 1). We used the biological functions seen to be altered by cannabis or THC/CBD exposure as a filter (Table 1) to find articles in which these alterations were reported in BDI patients. From the 228 articles related to BDI, 19 described alterations to these mechanisms and were included (Figure 1). The information extracted from each article included the first author, year of publication, diagnosis, sample type, number of subjects, sex and average age, techniques for measurement, the biological mechanisms altered, and the main findings (Table 2).
| Molecular pathway or cellular mechanism | Related publications |
|---|---|
| 1. Neural development and function: cell proliferation, synaptic function and cellular excitability. |
Ghovanloo et al., 2018
Guennewig et al, 2018 He et al., 2019 Delgado-Sequera et al., 2021 |
| 2. Cytoskeletal function (cell morphology and microtubule dynamics) | Delgado-Sequera et al., 2021 |
| 3. Cell adhesion | Delgado-Sequera et al., 2021 |
| 4. Mitochondrial biology | Guennewig et al, 2018 |
| 5. Pathways related to inflammation and the production of nitric oxide (NO) or reactive oxygen species (ROS) by macrophages |
Alasmari et al., 2021
Barrera-Conde et al., 2021 |
| 6. Lipid metabolism |
Jayanthi et al., 2010
Alasmari et al., 2021 |
| 7. Endocannabinoid and hypocretin/orexin systems |
Rotter et al., 2012
Rotter et al., 2013 |
| 8. Apoptosis | Delgado-Sequera et al., 2021 |
| Author/y | Subject diagnosis | Sample type | Sample size (n) | Sex (m/f) | Average age (y) | Experimental techniques | Biological mechanisms | Main findings |
|---|---|---|---|---|---|---|---|---|
| 1. Alasmari et al., 2021 | CUD | Serum | C: 10 CUD: 10 | C: 10/0 CUD: 10/0 | C: 30 CUD: 25 | WB, MS/MS analysis | Inflammatory related pathways and production of NO and ROS in macrophages Lipid metabolism | Altered proteins involved in immune system process, metabolic process and activation of (LXR/RXR) and (FRX/RXR) |
| 2. Barrera-Conde et al., 2021 | SCZ, CU SCZ/CU | ONEs | C:5 CU: 5 SCZ:5 SCZ/CU:5 | C:3/5 CU: 4/1 SCZ:2/3 SCZ/CU:5/0 | C:31 CU: 29 SCZ:37 SCZ/CU:41 | Proteomic analysis | Inflammatory related pathways and production of nitric oxide (NO) and reactive oxygen species (ROS) in macrophages | Altered proteins involved in immunological processes |
| 3. Chen at al., 2014 | BDI | iPSCs | C:3 BD:3 | NA | NA | IF, microarray, calcium signalling | Neural development and function: cellular proliferation, synaptic function, and cellular excitability Cytoskeleton function (cell morphology and microtubule dynamics) Cell adhesion | Differential expression in genes related to axon growth, synapse organization, calcium signaling, neurotransmitters, and their receptors. Differential transcripts involved in “cytoskeleton related processes,” “cell adhesion,” “cell-cell,” and “cell matrix interactions” |
| 4. Delgado-Sequera et al., 2021 | CU | ONEs | C:7 CB:6 | C:5/2 CB:4/2 | C:32 CB:29 | IF, MS/MS analysis, WB, FC | Neural development and function: cellular proliferation, synaptic function, and cellular excitability Cytoskeleton function (cell morphology and microtubule dynamics) Cell adhesion Apoptosis | ↓ Annexin V ↓ Iodine propidium ↑ Ki67 ↓ Vinculin ↑ Cell size |
| 5. Escelsior et al., 2022 | BD I, MDD | PBMCs | C: 25 BD:22 MDD: 22 | C: 12/13 BD: 11/11 MDD: 10/12 | C: 41 BD:46 MDD: 45 | qRT-PCR | Endocannabinoid system | ↓ CB1R |
| 6. Fries et al., 2017a | BD I | LCLs | C: 20 BD: 22 | C: 12/8 BD: 15/7 | C: 35 BD: 34 | qRT-PCR, Genome-wide expression | Mitochondrial DNA | ↑ mtDNA copy number |
| 7. Fries et al., 2017b | BD I | LCLs | C: 17 BD: 62 | C: 10/7 BD: 24/38 | C: 37 BD: 43 | qRT-PCR, Genome-wide expression | Apoptosis | Altered 26 genes involved in apoptosis signaling: ↑ 7 ↓ 19 |
| 8. Ghovanloo et al., 2018 | Control (treatment THC and CBD in vitro) | HEK-293 cells and iPSC | C: NA | C: NA | C: NA | Patch-clamp and IF | Neural development and function: cellular proliferation, synaptic function, and cellular excitability | CBD inhibits other voltage-dependent currents from diverse channels |
| 9. Guennewig et al., 2018 | SCZ (treatment THC in vitro) | iPSC | C:5 SCZ:4 | C:NA SCZ:NA | C:NA SCZ:NA | RNA sequencing, quantitative RT–PCR | Neural development and function: cellular proliferation, synaptic function, and cellular excitability | ↓ KCNE4, KCNA4 ↑ KCNJ10, KCNN3 |
| 10. He at., 2019 | CU | Blood | C:90 CB:100 | C:40/60 CB:73/17 | C:23 CB:23 | qPCR, eQTL, genome expression | Neural development and function: cellular proliferation, synaptic function, and cellular excitability | ↑ PPFIA2 |
| 11. Jayanthi et al., 2010 | Heavy marihuana user | Serum | C: 24 MJ: 18 | C: 7/17 MJ: 10/8 | C: 22 MJ:21 | MS/MS analysis, IP | Lipid metabolism | ↑ ApoC-III |
| 12. Kathuria, el al., 2020 | BD I | iPSHC | C:8 BD: 8 | C: 6/2 BD: 5/3 | 18- 65 | IHC, Transcriptome analysis | Neural development and function: cellular proliferation, synaptic function, and cellular excitability Cell adhesion | ↓Response to stimulation and depolarization in BDI cerebral organoids ↓ NCAN |
| 13. Li and El-Mallak et al.,, 2004 | BD I | LCLs | C:15 BD:15 | C: 5/10 BD: 5/10 | BD: 33 C: 31 | EF, WB | Neural development and function: cellular proliferation, synaptic function and cellular excitability | + [Na] after ethacrynic acid stimulation |
| 14. Madison et al., 2015 | BD I | IPSCs | C: 2 BD:2 | C: 1/1 BD: 0/2 | BD: NA C: NA | Patch-clamp, Network analysis, clustering and gene ontology analysis | Neural development and function: cellular proliferation, synaptic function, and cellular excitability Cytoskeleton function (cell morphology and microtubule dynamics) | Altered CXCR4, CACNA1G, CACNA1E, CACNG8, CACNB1, SCN3A, SCN2A Alteration in “cell morphogenesis” |
| 15. Matigian et al., 2007 | BD I | LCLs | C:3 BD:3 | C: ½ BD: ½ | BD: 40 C: 40 | Microarray, qRT-PCR | Apoptosis | Upregulation of “apoptosis process” ↑ Proapoptotic factors |
| 16. McCurdy et al., 2006 | BD I, SCZ | ONEs | C: 9 BD: 8 SCZ: 10 | C: 5/4 BD: 4/4 SCZ: 7/3 | C: 37 BD: 40 SCZ: 40 | Microarray, IF | Apoptosis | ↑ Death cells ↓ dUTP |
| 17. Rotter et al., 2013 | CU | PBMCs | C:21 CU:20 CS:36 | C: 15/6 THC: 14/6 CS: 28/8 | C: 31 THC: 33 CS: 32 | PCR | Endocannabinoid system (CB1 and CB2 receptors expression and Orexin-A expression) | ↑ CB1 mRNA expression levels and promoter methylation status |
| 18. Rotter et al., 2012 | CU | PBMCs | NS: 21 C: 20 CU: 36 | NS: 15/6 C: 14/6 THC: 28/8 | NS: 31 C: 33 THC: 32 | PCR | Endocannabinoid system (CB1 and CB2 receptors expression and Orexin-A expression) | ↓ Orexin A |
| 19. Scaini et al., 2017 | BD I | PBMCs | C: 16 BD: 16 | C: 8/8 BD:8/8 | C: 33 BD: 35 | RT-PCR, Immunosorbent assay, quantification intrinsic apoptotic pathway Kit | Mitochondrial biology Apoptosis | ↓ Opa1, Mfn2 ↑ Fis1 Negative correlation between mitochondrial fission/fusion proteins and apoptotic markers. Positive correlation between Mfn2 and Opa1 with mitochondrial content markers ↓ Bcl-xL/Bak, survivin, Bcl-xl, + Caspase-3 |
| 20. Scaini et al., 2019 | BD I | PBMCs | C: 25 BD: 31 | C: 7/18 BD: 7/24 | C: 37 BD: 37 | RT-PCR, Immunosorbent assay | Mitochondrial biology Apoptosis | ↑ TSPO pathway proteins Mitochondrial dysfunction and related apoptosis |
| 21. Song et al., 2015 | Depressed BD I, manic BD I, Euthymic BD I | Plasma | D BD: 20 M BD: 15 E BD: 10 C: 20 | D BD: 8/12 M BD: 6/9 E BD: 4/6 C: 8/12 | D BD: 27 M BD: 29 E BD: 28 C: 28 | MS/MS analysis, WB | Lipid metabolism | ↓ Apo A1 ↑ ApoL1 |
| 22. Vadodaria et al., 2021 | BD I | Plasma Astrocytes iPSCs derived | C:4 BD R:3 BD NR:3 | C:4/0 BD R:3/0 BD NR:3/0 | BD R:57-65 BD NR:22-69 C:NA | Sandwich immunoassay with V-PLEX Flow cytometry assay | Neural development and function: cellular proliferation, synaptic function, and cellular excitability synaptic function and cellular excitability Inflammatory-related pathways and production of NO and ROS in macrophages | ↓ Activity in neurons co-cultured with nonstimulated and IL-1β–stimulated BD astrocytes. ↑ Number of IL-6–positive astrocytes after IL-1β and TNF-α stimulation. ↑ IL-6 levels ↑ IL-6 secretion under basal conditions and after stimulation with IL-1β |
| 23. Voinsky et al., 2019 | BD I | PBMCs | C:25 BD I:21 | All female | C:NA BD I:39 | RT-PCR | Neural development and function: cellular proliferation, synaptic function, and cellular excitability | ↑ SCN11A |
| 24. Washizuka et al., 2003 | BD I, BDII | LCLs | C: 11 BD I: 13 BD II: 8 | C: 8/3 BD I: 7/6 BD II: 2/6 | C: 51 BD I: 52 BD II: 57 | D-HPLC, RT- PCR | Mitochondrial biology | ↓ mRNA expression NDUFV2 |
| 25. Washizuka et al., 2005 | BD I, BDII | LCLs | C: 11 BD I: 13 BD II: 8 | C: 8/3 BD I: 7/6 BD II: 2/6 | C: 51 BD I: 51 BD II: 58 | RT-PCR | Mitochondrial biology | ↓ mRNA expression complex I subunit genes ↓ Expression levels; these genes correlated with NDUFV2 |
| 26. Washizuka et al., 2009 | BD I, BD II, SCZ | LCLs | C: 33 BD I: 25 BD II: 10 SCZ: 13 | C:22/11 BD I: 15/10 BD II: 2/8 SCZ: 9/4 | C: 48 BD I: 52 BD II: 57 SCZ: 52 | RT-PCR | Mitochondrial biology | No differences NDUFV2 mRNA levels in White BD |
| 27. Wieck et al., 2016 | BD I | PBMCs | C: 9 BD: 8 | All females | C: 48 BD: 46 | FC | Inflammatory-related pathways and production of NO and ROS in macrophages and apoptosis Inflammatory-related pathways and production of NO and ROS in macrophages | ↑ MAPK, p-ERK, p-NF KB, ↑ IL-12, p70 ↑ TNF-α ↓ IL-6 |
| 28. Zain et al., 2012 | BD I | PBLs | C: 16 BD:16 | C: 8/8 BD:6/10 | C: 44 BD:40 | PCR | Neural development and function: cellular proliferation, synaptic function and cellular excitability | ↓ PDLIM5 mRNA expression |
Neural Development and Function: Cell Proliferation, Synaptic Function, and Cellular Excitability
Cannabis
Alterations to neural development and functioning as a consequence of exposure to cannabis or THC/CBD were described in 4 articles. A proteomic analysis of the olfactory neuroepithelium, a tissue that contains neural precursors that can be cultured, identified the differential expression of proteins related to cell proliferation in cannabis users compared with controls. After performing immunofluorescence studies, they observed that the neural precursors of cannabis users showed an increase in the proliferation (Delgado-Sequera et al., 2021).
An enhanced expression of liprin-α-2 mRNA (PPFIA2) in blood samples from heavy cannabis users was also found (He et al., 2019). PPFIA2 encodes liprin-α-2, a protein involved in the growth of excitatory synapses and establishment of dendritic spines. Interestingly, PPFIA2 levels were positively associated with cannabis consumption and negatively correlated with estimated intelligence (He et al., 2019).
The effect of CBD on human-induced pluripotent stem cells (iPSCs) and HEK-293 cells was also explored electrophysiologically (Ghovanloo et al., 2018). CBD blocked sodium and potassium currents mediated by hNav1.1-1.7, hNav1.2, and Kv2.1, which could reflect changes in cell gating provoked by altering membrane fluidity or alterations to direct interactions with sodium and potassium channels (Ghovanloo et al., 2018). Another study analyzed the effect of THC on iPSCs using RNA-sequencing (RNA-seq) to identify changes in gene expression. Network analysis of all the differentially expressed genes (DEGs) after THC incubation showed changes in pathways involved in synaptic function (Guennewig et al., 2018). Specifically, acute THC exposure provoked changes to genes encoding potassium voltage-gated channels (KCNE4, KCNA4, KCNJ10, and KCNN3) and genes that influence the postsynaptic density (HOMER1, GRID2, GRIK1, and SIPA1L1), whereas chronic THC exposure affected other ion channels (KCNJ2, KCNA2, and KCNT2) and additional synapse-related genes (SYNGAP1 and SHANK1).
Bipolar Disorder
Altered neural development and activity was described in 8 papers on BDI patients, one of which examined differences in the transcriptome of neurons derived from neuronal rosettes obtained from BDI patients and controls (Chen et al., 2014). DEGs in cells derived from BDI patients were related to neural differentiation, axon growth, synapse organization, calcium signaling, neurotransmitters, and their receptors (Chen et al., 2014). A family-based paradigm was applied elsewhere to characterize iPSCs from 2 BDI-affected brothers and their 2 unaffected parents (Madison et al., 2015). When neural progenitor cells (NPCs) were differentiated into neurons, those derived from BDI patients displayed a specific deficit in their proliferation and differentiation, whereas non-neural linages were not affected. Accordingly, DEGs related to neurodevelopment were evident when iPSCs, NPCs, and their derived neurons were analyzed (Madison et al., 2015). In contrast to the deficient proliferation of NPCs derived from BDI patients observed in 2 studies (Madison et al., 2015; Song et al., 2015), no such difference in proliferation (mitotic state) or related proteins was observed in olfactory neuroepithelial cells (ONEs) derived from BDI patients relative to controls (McCurdy et al., 2006).
Several DEGs were identified in BDI patient iPSC-derived neurons encoding the SCN2A and SCN3A sodium channels and calcium channels or ion channel subunits, such as CACNA1G, CACNA1E, CACNB1, and a regulator of AMPA receptor localization (Madison et al., 2015). A shift in CACNA1E expression was observed in both these studies, albeit decreasing in 1 study (Madison et al., 2015) whereas increasing in the other (Chen et al., 2014). In addition, expression of the FGF14 gene was enhanced in neurons from BDI patients (Chen et al., 2014; Madison et al., 2015), with FGF14 regulating the activity of presynaptic calcium channels. Hence, calcium signaling may be altered in neurons derived from BDI patients, and, moreover, the CACNA1G and CACNA1E calcium channel subunits may be key mediators.
Differences in sodium channels or currents have been found elsewhere in cells derived from BDI patients (Li and El-Mallakh, 2004; Voinsky et al., 2019). Abnormalities in the expression and activity of the sodium pump were studied in lymphoblastoid cell lines (LCLs) derived from BDI patients, specifically in the presence of ethacrynic acid (Li and El-Mallakh, 2004). In response to ethacrynic acid, the expression and activity of the sodium pump increased in the control cells to regulate their intracellular Na+ concentration. However, neither the expression nor the activity of the sodium pump changed in response to ethacrynic acid in cells from BDI patients, resulting in an increase in intracellular Na+. Thus, BDI might be related to a failure to regulate sodium homeostasis in the cells (Li and El-Mallakh, 2004). Moreover, stronger SCN11A expression (NaV1.9 voltage-gated sodium channel) was detected in both peripheral blood mononuclear cells (PBMCs) and gene databases of postmortem brains from BDI patients compared with controls (Voinsky et al., 2019). Hence, the NaV1.9 channel could possibly serve as a biomarker for this pathology.
In addition, weaker PDLIM5 expression was found in peripheral blood leukocytes (PBLs) derived from BDI patients than in controls. PDLIM5 encodes the LIM domain protein that promotes dendritic spine shrinkage, and it has previously been related to the pathophysiology of BDI (Zain et al., 2012). Elsewhere, an RNA-seq analysis of cerebral organoids derived from BDI patients and controls demonstrated significant differences in genes modulating the inhibitory/excitatory balance in the brain, as well as down-regulation of pathways involved in processes like “synaptic biology” and “neuronal development” (Kathuria et al., 2020). The electrical activity of cerebral organoids derived from BDI patients diminished in response to electrical stimulation and depolarization relative to controls (Kathuria et al., 2020). Furthermore, iPSCs-derived astrocytes from BDI patients affected the electrical activity of neurons, dampening the activity of a neuronal cell line in co-cultures (Vadodaria et al., 2021).
Cytoskeletal Function (Cell Morphology and Microtubule Dynamics)
Cannabis
A proteomics analysis of ONEs from cannabis users showed that “microtubule dynamics,” “actin cytoskeleton signaling,” and “cell growth” were altered relative to control. In addition, the cells of cannabis users were larger than those of control, possibly due to cytoskeletal changes (Delgado-Sequera et al., 2021).
Bipolar Disorder
Three articles detected alterations related to the cytoskeleton in cells derived from BDI patients. Transcripts involved in “cell morphogenesis” related to neuronal differentiation and “cytoskeleton-related processes” were identified in iPSC-derived neural progenitors and iPSC-derived neurons from BDI patients (Chen et al., 2014; Madison et al., 2015). Moreover, PDLIM5, a protein related to actin reorganization and involved in the morphogenesis of dendrites, was expressed more weakly in PBLs derived from BDI patients (Zain et al., 2012).
Cell Adhesion
Cannabis
In a proteomic analysis of ONEs from cannabis users, “cell adhesion capacity” was one of the pathways altered relative to the controls (Delgado-Sequera et al., 2021). In addition, immunofluorescence studies indicated a decrease in the focal adhesion (vinculin+) to the substrate of ONEs from cannabis users.
Bipolar Disorder
Altered cell adhesion was described in 3 articles from BDI, the latest a transcriptomic study in which RNA-seq analysis showed a downregulation of pathways involved in cell adhesion in BDI iPSC-derived cerebral organoids (Kathuria et al., 2020). Subsequent analysis of DEGs showed that neurocan (NCAN), a proteoglycan of the neuronal extracellular matrix that modulates migration and neural adhesion, was significantly downregulated in organoids from BDI patients (Kathuria et al., 2020). In other studies, iPSCs derived from individuals with BDI showed that DEGs were associated with “cell adhesion,” “cell–cell,” or “cell–matrix interactions” (Chen et al., 2014; Madison et al., 2015).
Mitochondrial Biology
Cannabis
Transcriptomic analysis of iPSCs-derived neurons exposed to THC highlighted DEGs related to “mitochondrial biology,” with the specific upregulation of mitochondrial mRNAs following acute (MT-CO1 and MT-CO3) or chronic (COX7A2) exposure to THC (Guennewig et al., 2018).
Bipolar Disorder
Six articles studied alterations to “mitochondrial biology” in BDI. An association between a polymorphism in the nuclear-encoded mitochondrial complex subunit-I gene NDUFV2 and BDI was first established in a Japanese population, suggesting that it could be a pathophysiological risk factor (Washizuka et al., 2003). Complex-I is a component of the electron transport chain, and it fulfils a central role in free radical biology and cellular bioenergetics. In addition, less expression of NDUFV2 and other complex-I subunit genes in LCLs from BDI patients was found, although no such differences were observed in a White population (Washizuka et al., 2003, 2005, 2009).
Two other studies focused on the relationship between the changes in mitochondrial dynamics and early apoptotic events (Scaini et al., 2017, 2019), highlighting the downregulation of the mitochondrial fusion-related proteins OPA1 and MFN2 in PBMCs from BDI patients and the upregulation of the fission protein Fis1. In addition, a significant decrease in citrate synthase activity was found. A negative correlation between mitochondrial fission/fusion proteins and apoptotic markers was described, as well as a positive correlation between markers of mitochondrial content and MFN2 or OPA1 (Scaini et al., 2017). Changes in the 18kDa translocator protein–related pathway were also assessed, playing an important role in regulating mitochondrial function (Scaini et al., 2019).
Finally, BDI patients had higher mitochondrial DNA (mtDNA) copy numbers, which significantly correlated with epigenetic age acceleration in older patients, suggesting that BDI may be associated with accelerated aging (Fries et al., 2017a).
Endocannabinoid System and Hypocretin/Orexin System
Cannabis
Considering that the relationship between cannabinoid receptors and neuropeptides-like Orexins that are involved in feeding regulation, Orexin-A mRNA expression and promoter methylation was measured in cannabis users and controls. Orexin-A expression was downregulated in PBMCs from cannabis users relative to the controls, although Orexin-A promoter methylation did not differ (Rotter et al., 2012). The consequences of cannabis dependence on endocannabinoid receptors was studied, evaluating CB1 and CB2 receptor (CB1/2R) expression and promoter methylation in the PBMCs from cannabis users and controls [nonsmokers and tobacco smokers (Rotter et al., 2013)]. CB1R mRNA levels were lower in cannabis users than in controls, and its promoter was more heavily methylated (Rotter et al., 2013). In addition, a negative correlation was found between the levels of CB1R methylation and its mRNA expression such that more promoter methylation was associated with weaker CB1R mRNA expression. No such changes were observed for the CB2R (Rotter et al., 2013).
Bipolar Disorder
CB1R expression has been assessed in BDI, evaluating its expression in PBMCs from patients classified between mania and depression states (Escelsior et al., 2022). CB1R expression was stronger and less variable in the manic state than in controls, whereas CB1R expression was weaker and more variable in the depressive state.
Apoptosis
Cannabis
The proteomic analysis performed in NPCs from the olfactory neuroepithelium showed differential expression of proteins related to “apoptosis” in samples from cannabis users. Fewer apoptotic and necrotic cells in cannabis users compared with controls were quantified by flow cytometry (Delgado-Sequera et al., 2021).
Bipolar Disorder
Five articles reported alterations in apoptosis in samples from BDI patients. Gene expression profiling was performed to identify genes dysregulated in LCLs or PBMCs from BDI patients. An increase in pro-apoptotic genes and a decrease in anti-apoptotic proteins were described in BDI patients compared with control (Matigian et al., 2007; Scaini et al., 2017, 2019). These findings are consistent with results from ONEs, where more dying cells were evident based on their nuclear staining (McCurdy et al., 2006).
Finally, 1 study examined the effects of lithium-induced gene expression in BDI patients’ LCLs (Fries et al., 2017b). Exposure of LCLs to lithium altered the expression of 236 genes, highlighting an enrichment of genes related to cell death and programmed cell death regulation in patients’ LCLs. Hence, lithium appears to modulate apoptosis specifically in BDI but not in LCLs from controls (Fries et al., 2017b).
DISCUSSION
The objective of this study was to explore the biological mechanisms triggered by CU that may contribute to the vulnerability of BDI, with the goal of identifying potential biomarkers for improved diagnosis and early intervention. Our investigation described several molecular and cellular modifications induced by cannabis, encompassing neural function, cytoskeleton, cell adhesion, mitochondrial biology, inflammation, lipid metabolism, endocannabinoid, and hypocretin/orexin systems, as well as apoptosis. Subsequently, our examination unveiled several shared alterations in BDI patients. Following, we discuss these potential shared pathways affected by both CU and in individuals with BDI.
Neural Function, Cytoskeleton, and Cell Adhesion
Exposure to cannabis or THC/CBD altered aspects of neuronal development and activity, enhancing the proliferation of neural precursors, perhaps by affecting the levels of proliferation-related proteins and the expression of genes related to synaptic function (Ghovanloo et al., 2018; Guennewig et al., 2018; He et al., 2019; Delgado-Sequera et al., 2021). Furthermore, CBD exposure blocks sodium and potassium currents in iPSCs (Ghovanloo et al., 2018). All these cellular mechanisms are important for neuronal function, and related alterations were found also in cells derived from BDI patients. iPSC-derived neuronal precursors from BDI patients showed deficient proliferation and weaker neuronal differentiation, and DEGs related to neural differentiation were identified (Chen et al., 2014; Madison et al., 2015). Interestingly, normal proliferation and differentiation was observed when iPSCs from BDI patients differentiated into a non-neuronal cell lineage, indicating a specific deficit in neuronal differentiation (Madison et al., 2015). This specific behavior of iPSC-derived neurons is consistent with the normal proliferation of ONEs derived from BDI patients, although it should be noted that such cells proliferate more when they are derived from schizophrenia patients or cannabis users (McCurdy et al., 2006; Delgado-Sequera et al., 2021). The regulation of other genes related to neuronal function was also altered in samples derived from BDI patients, such as genes involved in axon growth, synapse organization, dendritic spine shrinkage, calcium signaling, sodium/potassium channels, neurotransmitter release, and their receptors (Zain et al., 2012; Chen et al., 2014; Madison et al., 2015; Voinsky et al., 2019; Kathuria et al., 2020). In addition, electrophysiological and functional analysis of BDI-derived neurons revealed alterations in the activity of sodium pumps, a dampened response to electrical stimulation, and weaker neuronal activity (Li and El-Mallakh, 2004; Kathuria et al., 2020; Vadodaria et al., 2021). Together, these data suggest that cell excitability and synaptic function may be common cellular mechanisms altered by both BDI and CU.
Correct neural development and activity requires proper cytoskeletal function and cell adhesion (Leshchyns’Ka and Sytnyk, 2016; Lasser et al., 2018). The regulation of proteins related to the cytoskeleton and adhesion was altered in ONEs derived from cannabis users, with these cells showing altered morphology and diminished adhesive capacity, possibly related to cytoskeletal defects (Delgado-Sequera et al., 2021). Similarly, RNA-seq analysis of iPSC-derived neural precursors and neurons from BDI patients revealed DEGs related to the cytoskeleton, morphogenesis, and adhesion (Chen et al., 2014; Madison et al., 2015; Kathuria et al., 2020). In the case of brain organoids from iPSCs, cell adhesion pathways were downregulated, as was the expression of NCAN that modulates migration and neuronal adhesion (Kathuria et al., 2020). Other studies described alterations to the cytoskeleton and in adhesion in BD patient’s cells, such as altered microtubule organization, short microtubules, and weaker adhesion capacity of the ONEs derived from these patients (Solís-Chagoyán et al., 2013; Muñoz-Estrada et al., 2015). Taken together, these reports indicate that the cytoskeleton and cell adhesion are altered in both BD patients and cannabis users, although further analysis would be needed to establish a common relationship. Apart from these studies, a significant difference in PDLIM5 expression was detected in PBLs from BDI patients (Zain et al., 2012). PDLIM5 reduces dendritic spine head size in the postsynaptic density through a mechanism involving the actin cytoskeleton, and silencing this gene increases spine diameter. Indeed, it was suggested that alterations to PDLIM5 may contribute to psychiatric disorders (Herrick et al., 2009). In terms of dendritic spine density, it is interesting to note that an increase in liprin-α2 has been found in blood samples from cannabis users (He et al., 2019). When this protein is depleted, it was seen to be involved in the organization of the synaptic scaffold at the presynaptic terminal (Spangler et al., 2013). Further studies will be needed to analyze whether an increase in this protein is observed in the neurons of cannabis users and its consequences in synapses, which could influence BD symptoms.
Mitochondrial Biology
RNA-seq analysis of iPSC-derived neurons exposed to THC revealed DEGs related to “mitochondrial biology” (Guennewig et al., 2018). Indeed, THC enhances oxidative stress and mitochondrial dysfunction in the brain, which appears to be a risk factor for ischemic stroke (Wolff et al., 2014). Several lines of evidence suggest that brain energy metabolism, mitochondrial function, and redox balance are affected in psychiatric disorders (Kim et al., 2019). Pathways underlying neuropathology in BD include the dopaminergic system, inflammatory cytokines, oxidative and nitrosative stress, and mitochondrial dysfunction (Sigitova et al., 2017). In blood samples from BDI patients, the expression of genes related to mitochondrial function is altered, such as genes included in the Complex-I respiratory chain, mitochondrial fusion/fission, and mitophagy (Washizuka et al., 2003, 2005, 2009; Fries et al., 2017a; Scaini et al., 2019). In addition, a correlation between higher mtDNA copy number and epigenetic age acceleration was described (Fries et al., 2017a). Aging is associated with a progressive alteration in mitochondrial respiratory chain activity, and thus mtDNA quantification could represent an interesting biomarker for BDI (Fries et al., 2017a). Hence, although specific alterations to genes related to mitochondria are not common to THC exposure and BD, they do converge on producing mitochondrial dysfunction.
Endocannabinoid and Hypocretin/Orexin Systems
CU was associated with increased methylation of the CB1R promoter and decreased mRNA encoding this receptor (Rotter et al., 2013). Among BDI patients, CB1R gene expression was stronger and less variable in the manic patients than in the depressed group (Escelsior et al., 2022). These data may suggest that the depressive state in BDI follows a similar trend in terms of CB1R mRNA expression as in cannabis users. The expression of CB1R has been studied in major depressive disorder with mixed results, ranging from an increase in the prefrontal cortex to decreased levels or no differences in the anterior cerebral cortex (Navarrete et al., 2020). Moreover, some polymorphisms in the CB1R gene have been proposed as susceptibility factors for developing mood disorders (Navarrete et al., 2020). There are also conflicting results when trying to associate CBR1 polymorphisms with the pathophysiology of BD, with some but not all studies identifying associations (Navarrete et al., 2020). However, the limited number of studies and these inconsistencies indicate a need for further analyses to better understand the relationship between the endocannabinoid system and BD.
A decrease in Orexin-A has also been associated with CU (Rotter et al., 2012), a protein related to the sleep-wake cycle. There is a well-established relationship between circadian cycle disturbance and BD, with many studies documenting sleep disturbances and circadian rhythm dysfunction in association with BD (Takaesu, 2018; Faltraco et al., 2021). Because circadian rhythm dysfunction is more prominent in BD than in major depressive disorder, circadian rhythm dysfunction is a characteristic marker of BD (Takaesu, 2018).
Apoptosis
CU appears to decrease apoptosis (Delgado-Sequera et al., 2021), and BDI patients appear to have fewer anti-apoptotic and more pro-apoptotic molecules (Matigian et al., 2007; Scaini et al., 2019). It was suggested that dysregulated apoptosis may promote neuronal death and that this might underlie the pathophysiology of BDI (Matigian et al., 2007), with changes in the balance between active inhibitors of apoptosis and caspases driving altering the apoptotic programme (Scaini et al., 2019). Indeed, more dead cells were quantified among the cells derived from BDI patients than controls (McCurdy et al., 2006), and enhanced apoptosis was described elsewhere in BD patients (Uribe and Wix, 2012; Pietruczuk et al., 2018). Furthermore, apoptosis was proposed as a therapeutic target for lithium (Fries et al., 2017b). Although the molecular mechanisms affected by lithium are not fully understood, there are data supporting an anti-apoptotic effect (Mishra et al., 2023).
Both THC and CBD reduced cell proliferation and induced apoptosis in cancer cells (Pellati et al., 2018; Hosami et al., 2021; Lal et al., 2021; Cherkasova et al., 2022) while protecting healthy tissue from such cell death (Bogdanović et al., 2017). Thus, cannabis and the clinical response to lithium may be associated with an anti-apoptotic effect (Bogdanović et al., 2017; Delgado-Sequera et al., 2021; Mishra et al., 2023). Further studies of CU in BD patients should focus on the effects on apoptosis and the possible therapeutic benefits.
Limitations
We found some limitations to study the biological mechanisms affected in the brain by CU or BDI. First, many studies used blood samples that may not reflect brain function. Second, a substantial number of studies had a small sample size. Therefore, additional research with larger sample sizes should be performed. Third, this study did not assess the risk of bias in the selected articles, which may affect the robustness of the results. Last, studies in BD patients who also use cannabis would be of interest, but most usually focus on cognitive performance (Sagar et al., 2016; Jordan Walter et al., 2021). Thus, we still lack the biological information that would be useful to find biomarkers of BD risk or therapeutic targets, because CU increases the risk of both the onset and worsening of BD symptoms. Despite these limitations and in the absence of further specific studies, the strength of this review lies in providing a pioneering comparative description. The general findings of this review open new avenues for further in-deep research.
CONCLUSIONS
The common mechanisms altered because of cannabis, THC, or CBD exposure and in BDI patients were related to cellular excitability and synaptic function, cytoskeleton and cell adhesion, mitochondrial dysfunction, inflammation, lipid metabolism, endocannabinoid system, and apoptosis. It would be very interesting to determine whether the alterations to these processes provoked by CU trigger a higher risk of BD in susceptible individuals and whether this susceptibility is due to alterations in these events. If so, they could be considered as early diagnostic biomarkers or therapeutic targets that would help in early treatment at the onset of BD.
Acknowledgments
M. Hidalgo-Figueroa was supported by the 2014-2020 FEDER Operational Programme and by the Department of Economy, Knowledge, Business and University of the Regional Government of Andalusia (FEDER-UCA18-106933). This work was also supported by the “Programa Operativo de Andalucía FEDER, Iniciativa Territorial Integrada ITI 2014-2020” Conserjería de Salud - Junta de Andalucía” (PI-0009-2017); by the “Conserjería de Salud y Familias - Junta de Andalucía” (PEMP-0008-2020) and the “Ministerio de Sanidad, Consumo y Bienestar Social, Plan Nacional sobre Drogas,” (2019I041).
Contributor Information
Alejandra Delgado-Sequera, Biomedical Research and Innovation Institute of Cadiz (INiBICA), Research Unit, Puerta del Mar University Hospital, Cádiz, Spain; Neuropsychopharmacology and Psychobiology Research Group, Universidad de Cádiz, Cádiz, Spain.
Clara Garcia-Mompo, Department of Medicine, School of Medical Sciences, Universitat Jaume I, Castellón de la Plana, Spain.
Ana Gonzalez-Pinto, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain; Department of Psychiatry, Hospital Universitario de Alava, BIOARABA, UPV/EHU, CIBERSAM, Vitoria-Gasteiz, Spain.
Maria Hidalgo-Figueroa, Biomedical Research and Innovation Institute of Cadiz (INiBICA), Research Unit, Puerta del Mar University Hospital, Cádiz, Spain; Neuropsychopharmacology and Psychobiology Research Group, Universidad de Cádiz, Cádiz, Spain; Department of Psychology, Universidad de Cádiz, Puerto Real (Cádiz), Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain.
Esther Berrocoso, Biomedical Research and Innovation Institute of Cadiz (INiBICA), Research Unit, Puerta del Mar University Hospital, Cádiz, Spain; Neuropsychopharmacology and Psychobiology Research Group, Universidad de Cádiz, Cádiz, Spain; Department of Neuroscience, Universidad de Cádiz, Cádiz, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISCIII, Madrid, Spain.
Interest Statement
Gonzalez-Pinto is a consultant or offered lectures from Janssen-Cilag, Lundbeck, Otsuka, Pfizer, Takeda, and Angelini.
Data Availability
All the data extracted from included original articles are available in PubMed or Web of Science. This review was conducted without previous registration, and no protocol document was prepared.
References
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Associated Data
Data Availability Statement
All the data extracted from included original articles are available in PubMed or Web of Science. This review was conducted without previous registration, and no protocol document was prepared.