Pathways to psychosis among cannabis users

Lead Research Organisation: King's College London
Department Name: Social Genetic and Dev Psychiatry Centre

Abstract

Epidemiological and experimental evidence implicates cannabis use as a risk factor for psychotic disorder, which in England has an annual cost of £12 billion. My work has demonstrated a) that the greatest risk is from daily use of potent cannabis, high in Tetrahydrocannabinol (THC) and low in Cannabidiol (CBD). I have also shown that differences in cannabis use across Europe contribute to striking variations in the occurrence of psychosis; 30% of new cases in London are attributable to cannabis use. However, only a minority of cannabis users develop psychotic disorder, and it is unclear what makes some particularly susceptible. This is a question of global importance given that 200 million people use cannabis daily, and the spread of laws legalising cannabis for medicinal or recreational use. I work one day per week as a Consultant Psychiatrist treating young people suffering their first episode of psychosis, and have established a specialized Psychosis Clinic for cessation/reduction of cannabis use. This presents an ideal setting for research. I propose to study psychotic disorder and in particular paranoia which is one of the most frequent symptoms in psychotic disorder; it is especially prominent in patients who use cannabis, and in volunteers administered THC. I will ascertain 1)the impact of heavy cannabis use on mental health in a non-clinical population and 2)genetic and epigenetic markers that explain differences in individual susceptibility to develop paranoia among heavy cannabis users, with or without a diagnosis of psychotic disorder. I will recruit two samples of non-clinical young adults: a)daily current cannabis users and b)never users/past users as well as c)a sample of cannabis using first episode psychosis patients. I shall invite subsets of the non-clinical samples and all the first episode psychosis patients to provide 1)details on their patterns of drug use 2)blood for DNA and levels of THC and CBD as biological indicators of cannabis exposure 3)complete an assessment of psychotic symptoms especially paranoia, and of memory and 4)take part in a Virtual Reality (VR) experiment measuring propensity to develop paranoid ideas in response to social situations. The VR study will establish if current daily cannabis users, even those that do not develop psychotic disorder, are more likely to experience socially disabling paranoia. Then I shall 1) generate for each person genetic pathway scores and examine if they explain susceptibility to develop cannabis use disorders with/without psychotic disorder and 2) build epigenetic profiles that show the signature that cannabis use leaves on DNA. The genetic and epigenetic data will be used to identify, among the daily users, those susceptible to experience paranoia and to understand why some heavy cannabis users remain symptomless, others develop only paranoia, and others a full psychotic disorder. Moreover, by studying the first episode psychosis patients before and after they stop/reduce their cannabis use,I will test if biological markers a)predict response to the intervention and b)change with change in cannabis use. Finally,I will build on a mouse experiment of exposure to THC and CBD, already funded by the MRC, run by my collaborators. I will have access to blood DNA samples from the mice pre and post exposure to THC and CBD, plus the post exposure behavioral data and DNA from brain. My addition to this study will examine overlap in the effect of cannabis compounds on the epigenome in mouse brains with their effect in mouse and human blood.
The Schizophrenia Commission pointed out that cannabis use is the most preventable cause of psychotic disorder. My proposal will facilitate understanding the neurobiology of psychosis and paranoia in the context of daily cannabis use, advance knowledge on the effects of the latter on mental health short of formal psychotic disorder, and identify young adults for whom recreational/medicinal cannabis use carries special risk.

Technical Summary

My research focuses on the effect of cannabis use on the mental health of young adults, an important topic at a time of global trends towards legalising cannabis, and increasing availability of potent cannabis with high tetrahydrocannabinol (THC) and low cannabidiol (CBD). I seek to establish biological and psychological mechanisms,which determine why some heavy cannabis users develop clinical psychotic disorder, or intermediate phenotypes such as paranoia in the non-clinical population. I will assess the genetic and epigenetic factors that underlie this susceptibility by examining a) a non-clinical sample of daily cannabis users (n=400), b) never/past users (n=200) and c) 70 first episode psychosis patients using cannabis daily. I shall collect clinical data, paranoia scores, blood samples for DNA methylation and plasma cannabinoids, and carry out a virtual reality (VR) experiment measuring propensity to develop paranoid ideas in social situations. I will analyse the above, and data from large GWAS samples to generate genetic pathways and epigenetic profiles to predict: a) those daily cannabis users susceptible to disabling paranoia and b) why some users develop only paranoia and others frank psychotic disorder. In the patients, I will test if these biological markers predict cannabis cessation/reduction and improvement in paranoia and VR social response. Finally, I shall expand a mouse experiment run by my collaborators by collecting a) blood DNA pre and post THC and CBD juvenile exposure, b) post exposure behavioral data and c) brain epigenome data. I will compare the epigenetic changes associated with exposure to cannabinoids in mouse brain and blood to those measured in human blood. This program will clarify the mechanisms underlying the effects of cannabis use in inducing paranoia and other psychotic symptoms within, and beyond, frank clinical disorder, why some users are susceptible, and provide guidance for treating psychosis in the context of cannabis use.

Planned Impact

Firstly, my analyses will clarify the effect of heavy cannabis use on the mental health of young adults who do not have a clinical diagnosis of psychotic disorder but experience paranoia with adverse effects on their social functioning. A Virtual Reality(VR) test, like the one in my proposal which takes 5 minutes, could together with a brief paranoia questionnaire, become a screening tool available in walk-in clinics, university/college counselling services as well as mental health services; young people reporting daily cannabis use could be screened with the VR social scenario and if they show a paranoid response, be offered help to decrease/stop their cannabis use, thus decreasing their risk of developing psychosis. A similar approach could be used in the care of people receiving medicinal cannabis under medical supervision. Data from the VR part of the study could also be used to develop more engaging public health campaigns to inform the public of the impact of heavy cannabis use on paranoia; in collaboration with Public Health England as well as Science Media Centre, KCL and the MRC, we could, for instance, develop social media platforms with interactive dissemination to adolescents and adults. Furthermore, a central aim of my work is to improve the care of young adults suffering from psychotic disorder following heavy cannabis use, of their carers and the support needed by the services involved in their journey to recovery. The Schizophrenia Commission recommended that efforts similar to those used to inform patients and the public about the risks of tobacco smoking should be invested in education about the risks associated with heavy cannabis use and its impact in. precipitating onset of psychosis and adversely affecting the illness outcome. Sadly, to date patients with psychosis have no access to services or interventions specifically set to promote cannabis use cessation/reduction. This is significant for the clinical outcome of this patient group, as clear evidence indicates that continuing to use cannabis after the illness onset is associated with greater relapses with great cost to their families and Mental Health services. Sadly the care of these young adults falls unsatisfactorily between adult psychiatry and addiction services, and patients rarely received optimum treatment for both aspects of their illness. My ambition is to integrate the scientific findings generate by this proposal into the clinical work of my Cannabis Clinic for Psychotic Patients to contribute a) further knowledge b)provide training for psychiatrists/mental health workers, alongside an active collaboration with addiction clinicians and academics and c) extend my collaboration to other physicians, prescribing cannabis for medicinal purposes to inform each other practise and safe prescribing. Indeed, my work on the genetic pathways and epigenetic scores associated with current daily cannabis use and their potential application as peripheral markers of cannabis associated psychosis-proness could be used to identify individuals at risk among those prescribed medicinal cannabis use, allowing them to receive closer monitoring. The novelty of the comparative analyses of genetic-epigenetic data in the context of cannabis exposure from the human studies and from the mouse model experiment will facilitate 1) closer collaborations between the psychosis and neuroscience research communities and beyond to replicate and build on my findings; 2) inform Pharma companies of potential new drug targets and better understanding of how cannabidiol (CBD) and other potentially cannabinoids could be used in the treatment of cannabis-associated psychosis. All of the above impacts are likely to become more important at a time of changes in cannabis legislation across the world.

Publications

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Johnson-Ferguson L (2023) From heavy cannabis use to psychosis: is it time to take action? in Irish journal of psychological medicine

 
Guideline Title NICE for pain management
Description Contribution to the report commission from the International Pain Research Society by the UK Government on the efficacy of cannabinoids on the treatment of pain
Geographic Reach Multiple continents/international 
Policy Influence Type Citation in clinical guidelines
 
Description London Mayor Drug Commission
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Participation in a guidance/advisory committee
Impact Provide evidence based data that can be translate into public education campaigns and public policies to inform about the risk of heavy cannabis use, which remains the most commonly used illicit recreational drug now also used widely for medicinal reason.
URL https://www.london.gov.uk/programmes-strategies/mayors-office-policing-and-crime-mopac/mopac-governa...
 
Description Animal model experiment 
Organisation King's College London
Department MRC Centre for Developmental Neurobiology
Country United Kingdom 
Sector Academic/University 
PI Contribution Professor Beatriz Rico and Professor Oscar Marin are hosting in their lab facilities and collaborating on the mouse model experiment part of study 4 of this MRC proposal.
Collaborator Contribution Our partner are supporting this project by : 1. Hosting the experiment in their lab 2. Providing the mouse model for it 3. The supervision of their post doc who works closely with the RA appointed to run our experiment 4. Their experience in interpreting the findings
Impact Too early
Start Year 2020
 
Description Collaboration with Professor Lucia Valmaggia , head of the Virtual Reality (VR)lab at the IoPPN, KCL. Professor Valmaggia and her team, are currently developing in collaboration with my team, the VR experiment that will be used in study 2 and 3 of this project. 
Organisation King's College London
Department Institute of Psychiatry, Psychology & Neuroscience
Country United Kingdom 
Sector Academic/University 
PI Contribution The recruitment of the participants that will undergo the VR experiment part of this collaboration, will start towards the end of March. The data we plan to collect will be the first to combine VR data on paranoia response to social scenario in cannabis users and biological data that might explain the expected individual difference
Collaborator Contribution Professor Valmaggia and her team are creating the actual VR scenario meeting the criteria relevant to our study design
Impact Too early This study has been delayed of a year and a half by the pandemic
Start Year 2020
 
Description Comparative analyses of Genome wide DNA methylation changes associated with cannabinoids exposure in human and mice. 
Organisation Mount Sinai Hospital
Country United States 
Sector Hospitals 
PI Contribution Professor Yasmin Hurd is the Ward-Coleman Chair of Translational Neuroscience and the Director of the Addiction Institute, Mount Sinai University New York, USA. Professor Hurd is the world leading expert in the effects on the epigenome of perinatal and pubertal exposure to cannabinoids in rodents. We are designing the animal model experiment part of this award in collaboration with her team who will also jointly analyses with us the epigenetic data, we plan to generate.
Collaborator Contribution Our partner contribution include: 1. Regular meeting to advise on the epigenetic component of the animal model experiment 2. Supervision and collaboration on the comparative analyses looking at the blood epigenetic changes associated human and mice exposure to cannabinoids and with those from the mice brain tissue
Impact Too early
Start Year 2020
 
Description Online survey comparative analyses from cannabis users vs non cannabis users responders 
Organisation University of Bath
Department Department of Psychology
Country United Kingdom 
Sector Academic/University 
PI Contribution Dr Tom Freeman is a leading expert in addiction and in particular to cannabis dependence and its impact on cognitive function. He will be involved in the analyses of the following data generated by this award: 1. Online survey data from cannabis users 2. Cognitive data in cannabis users 3. Differential impact on the above of the plasma level of THC and CBD detected in the study participants
Collaborator Contribution Contribution: 1. Development of the Online survey 2. Data analyses and dissemination
Impact Too early
Start Year 2020
 
Description Overlapping and defining Genetic pathway analyses of Cannabis Use and Schizophrenia 
Organisation Washington University School of Medicine
Country United States 
Sector Academic/University 
PI Contribution Dr Emma Johnson is a postdoc working with Professor Arpana Agrawal, lead of the Substance Use Disorder, Psychiatric Genomic Consortium. We plan to work together at developing genetic pathways that separate genetic variants overlapping between CUD and SCZ from those specific to the two disorders.
Collaborator Contribution Contribution: 1. Access to the largest CUD GWAS data and other addiction GWAS summary stats 2. Collaboration on the data analyses 3. Findings and papers revision
Impact One paper as in the publication list
Start Year 2020
 
Description Overlapping and defining Genetic pathway analyses of Cannabis Use and Schizophrenia 
Organisation Washington University in St Louis
Country United States 
Sector Academic/University 
PI Contribution Professor Arpana Agrawal leads the PGC SUD group and this collaboration provides statistical support and data access for the analyses done in collaboration to Dr Johnson, see other collaborations
Collaborator Contribution Contributions: 1. Data access 2. Findings and paper revision
Impact One publication ( see publications list) One in preparation
Start Year 2020
 
Description Overlapping and defining Genetic pathway analyses of Cannabis Use and Schizophrenia 
Organisation Washington University in St Louis
Country United States 
Sector Academic/University 
PI Contribution Dr Emma Johnson is a postdoc working with Professor Arpana Agrawal, lead of the Substance Use Disorder, Psychiatric Genomic Consortium. We plan to work together at developing genetic pathways that separate genetic variants overlapping between CUD and SCZ from those specific to the two disorders.
Collaborator Contribution Contribution: 1. Access to the largest CUD GWAS data and other addiction GWAS summary stats 2. Collaboration on the data analyses 3. Findings and papers revision
Impact One paper as in the publication list
Start Year 2020
 
Description Peripheral blood levels of cannabinoids (THC-CBD) and endocannabinoid in cannabis users with and without clinical psychosis 
Organisation King's College London
Country United Kingdom 
Sector Academic/University 
PI Contribution Professor Kim Wolff leads the Drug Control Centre (DCC) at KCL. Professor Wolff will be test for plasma levels of cannabinoids (THC-CBD) and endocannabinoid in the cannabis users with and without clinical psychosis that we are recruiting as part of this award.
Collaborator Contribution Contribution: 1. The lab facilities of the DCC will test for the the plasma levels of cannabinoids (THC-CBD) and endocannabinoid 2. Process the above data to prepare them for analyses 3. Contribute to the relevant data interpretation and publications
Impact Too early
Start Year 2020
 
Description Peripheral epigenetic profiling of current cannabis users 
Organisation University of Exeter
Country United Kingdom 
Sector Academic/University 
PI Contribution This collaboration brings the expertise of Professor Jonathan Mill, Dr Emma Dempster and their epigenetic team who will run the DNA methylation (EWAS) analyses that we plan to collect from daily cannabis users. This award funds a technician who will carry out the EWAS in Professor Jonathan Mill's lab and prepared the data for analyses. The latter will be run with Dr Emma Dempster.
Collaborator Contribution Our partner contribute includes: 1. Lab facilities 2. Expertise and experience in the processing and analyses of the EWAS data we plan to generate
Impact Not yet
Start Year 2020