1 00:00:00,330 --> 00:00:07,350 Welcome to the Oxford University Psychology Podcast series. My name is Daniel Morgan and I've got Professor Paul Harrison with me today. 2 00:00:07,350 --> 00:00:15,870 Good morning, Paul. Thank you very much for joining me. You have a very interesting research field into translational neuroscience where 3 00:00:15,870 --> 00:00:22,060 you have quite a broad range of research areas where you way from the lab work or 4 00:00:22,060 --> 00:00:26,640 work through to potential clinical applications and will perhaps would be interesting 5 00:00:26,640 --> 00:00:32,770 to begin by you just giving a broad overview of your of your research area. 6 00:00:32,770 --> 00:00:39,060 Well. So my research area originally was was, in fact, neuropathology. 7 00:00:39,060 --> 00:00:43,500 So having done my research degree and outside in the early part of Alzheimer's disease, 8 00:00:43,500 --> 00:00:49,770 I then wanted to apply the same kind of neuropathological techniques to schizophrenia, which is a notoriously difficult area. 9 00:00:49,770 --> 00:00:54,930 And we did a number of studies over 10 or 15 year period, which I think told us some things, 10 00:00:54,930 --> 00:01:02,690 but increasingly became apparent to me that the answer to really unravelling the pathophysiology of disease or schizophrenia didn't lie entirely, 11 00:01:02,690 --> 00:01:06,510 and perhaps even largely in studying the brains of people who'd had the illness. 12 00:01:06,510 --> 00:01:12,150 And so as a result of that, over the past 10 years or so, the research has broadened to include, as you suggested, 13 00:01:12,150 --> 00:01:23,850 a range of other approaches and techniques which inevitably taken away from questions about the biological correlates of our psychiatric syndromes, 14 00:01:23,850 --> 00:01:30,360 will get us more into understanding that that that treatments and their clinical implications. 15 00:01:30,360 --> 00:01:35,670 So that's really where the translation side is. And so, in a sense, when we see a clinical picture, 16 00:01:35,670 --> 00:01:48,840 we know that there's a whole of several layers of sort of understanding that feeds into that behaviour from neurotransmitters to psychological 17 00:01:48,840 --> 00:01:56,520 frameworks to understand some behaviours that have been specifically looking at and some of the genetic components of of that behaviour. 18 00:01:56,520 --> 00:02:02,220 So could you tell us a bit about that? Yes, that's right. So perhaps that's been the main shift in focus. 19 00:02:02,220 --> 00:02:06,450 And so because originally we did in sense case control studies where you take a series 20 00:02:06,450 --> 00:02:10,590 of brains from patients who are analysis necessarily the brains of people without. 21 00:02:10,590 --> 00:02:17,370 And you're looking for things that the occurrence of the diagnostic differences by the problems of those kind of studies, really, 22 00:02:17,370 --> 00:02:21,750 whether you do them in post-mortem brains or you do them in established living patients with analysis, 23 00:02:21,750 --> 00:02:25,620 it's very difficult to separate causes from consequences of illness. 24 00:02:25,620 --> 00:02:30,050 And the same in many ways applies to environmental studies of the risk factors for psychiatric illness. 25 00:02:30,050 --> 00:02:34,980 One of attractions in the genetics is not only that we know the major psychiatric 26 00:02:34,980 --> 00:02:39,000 standards have a substantial and often underestimated genetic component, 27 00:02:39,000 --> 00:02:43,920 but if we find genetic discoveries, essentially they can't be confounded by anything. 28 00:02:43,920 --> 00:02:52,410 You may still be very puzzled as to what they mean. But at least if you find a robust genetic association with a botanical syndrome, 29 00:02:52,410 --> 00:02:56,280 you can stop for matters into peckerwoods, which you can hang on to our studies. 30 00:02:56,280 --> 00:03:03,360 So that's really why we moved to understand the genetic basis of mechanisms like schizophrenia and bipolar disorder. 31 00:03:03,360 --> 00:03:12,750 OK, thank you. So what do we know about these sort of very broad, perhaps umbrella diagnoses of bipolar and schizophrenia? 32 00:03:12,750 --> 00:03:17,260 What do we know about the genetic contributions of that? And just broadly speaking? 33 00:03:17,260 --> 00:03:22,920 Well, the glass around half full and half empty. The simple answer is we still don't understand it at all. 34 00:03:22,920 --> 00:03:28,110 On the other hand, it is clear the research the last 10 years is Regenesis particularly to produce, 35 00:03:28,110 --> 00:03:30,660 firstly, that there is a substantial genetic component to, 36 00:03:30,660 --> 00:03:38,520 depending how you measure it, between about two thirds and three quarters of whatever is causing these illnesses is in our genes. 37 00:03:38,520 --> 00:03:45,840 We also know that about two thirds of the genes that contribute to schizophrenia also contribute to bipolar disorder and vice versa. 38 00:03:45,840 --> 00:03:50,940 And there's also an overlap genetically with autism, with learning disability and with major depression. 39 00:03:50,940 --> 00:03:56,580 So certainly a clinical sense of these drugs that really caused nature to join this. 40 00:03:56,580 --> 00:04:00,630 Many cases that are a mixture of two things is only one pure case of any diagnosis. 41 00:04:00,630 --> 00:04:08,940 That's certainly what the genetics is looking like in terms of what is the nature of the genetic basis of these various syndromes. 42 00:04:08,940 --> 00:04:11,730 Again, it's not one gene. There probably isn't even 100 genes. 43 00:04:11,730 --> 00:04:20,190 There are probably hundreds, if not thousands of genes contributing individuals small amounts to the genetic risk of these disorders. 44 00:04:20,190 --> 00:04:25,650 There might be a few rare genes, which then, if they happen to be present, are rare genetic abnormalities, which, 45 00:04:25,650 --> 00:04:34,380 if they happen to be presented to a patient, may make that person's illness slightly more attributable to a small number of penetration. 46 00:04:34,380 --> 00:04:45,030 So there's many genes that have perhaps a small impact on on on the risk of developing these these conditions. 47 00:04:45,030 --> 00:04:52,110 So, I mean, that makes your job very complex, doesn't it, because you're looking at so many different genes and all of if you look at any particular 48 00:04:52,110 --> 00:04:58,050 one gene that it might lead to somebody having a condition or not having condition. 49 00:04:58,050 --> 00:05:03,980 Are you looking at how they say. They say with one another or you're looking at them individually. 50 00:05:03,980 --> 00:05:07,730 So you're right, you've you've you've touched upon what is really on the key issues in matter 51 00:05:07,730 --> 00:05:12,710 of just how do you prioritise the many genetic discoveries and implications, 52 00:05:12,710 --> 00:05:20,810 because it's now quite quick to discover or to survey the genome with the Human Genome Project, the techniques that go with that. 53 00:05:20,810 --> 00:05:27,020 So it's very easy to identify hundreds or thousands of genes which are individually, statistically doing something. 54 00:05:27,020 --> 00:05:33,650 But then following those up and understanding the biological implications is very difficult and does need a lot of prioritisation. 55 00:05:33,650 --> 00:05:39,410 And the questions of what kind of grounds do you prioritise and what kind of models do you have to have for school, 56 00:05:39,410 --> 00:05:45,320 the genetic architecture of these conditions to help you make rational decisions about what to study. 57 00:05:45,320 --> 00:05:50,720 Now, some researchers are going for these rare, very rare, but if present, 58 00:05:50,720 --> 00:05:56,750 very penetrant genetic factors on the grounds that that gives you attraction to biology. 59 00:05:56,750 --> 00:06:02,720 Other people say from an epidemiological perspective that they're not important enough overall to invest it. 60 00:06:02,720 --> 00:06:07,070 We need to go for these common genes. And even that effects are very small. 61 00:06:07,070 --> 00:06:11,870 That's ultimately where the real breakthroughs need to be made. You can then say, 62 00:06:11,870 --> 00:06:19,430 do I take an individual gene or do I hypothesise that these genes interact with each other and you go for some kind of higher level or sometimes 63 00:06:19,430 --> 00:06:28,670 good points of convergence of genes and you go for what you think of the biochemical pathways that be downstream of a lot of these genes. 64 00:06:28,670 --> 00:06:30,530 The metaphor that sometimes uses you know, 65 00:06:30,530 --> 00:06:36,260 you try and go after every trick or treat when you go for the big river or all the tributaries have joined up to have a bigger effect. 66 00:06:36,260 --> 00:06:39,590 And again, at the moment, I think there's different people applying different strategies. 67 00:06:39,590 --> 00:06:45,680 And it remains to be seen which if mean, is the more fruitful and comes to fruition. 68 00:06:45,680 --> 00:06:50,030 So a lot of exploration needs to be done about these many different genes and 69 00:06:50,030 --> 00:06:57,710 their contribute contribution towards what we recognise as psychiatric diagnoses. 70 00:06:57,710 --> 00:07:03,260 But I guess the question comes as to the nature nurture question, 71 00:07:03,260 --> 00:07:11,150 and are you doing any any sort of investigations on on how particular house Constellation's 72 00:07:11,150 --> 00:07:20,660 or groups of genes might interact with with adverse circumstances in people's lives? 73 00:07:20,660 --> 00:07:24,920 For sure. As you said, it's another level of complexity because the evidence is that many of these 74 00:07:24,920 --> 00:07:28,580 genes are probably not having a direct and immediate effect on disease risk. 75 00:07:28,580 --> 00:07:30,350 They may well be affecting individuals. 76 00:07:30,350 --> 00:07:38,390 Responses to environmental events and environmental events could be anything from our infection to smoking cannabis to having a head injury. 77 00:07:38,390 --> 00:07:44,480 And, of course, experimentally gets even more difficult when you try and combine genetic factors with environmental factors, as you can imagine, 78 00:07:44,480 --> 00:07:50,810 because of things with combinations of things rapidly multiply beyond any meaningful control, 79 00:07:50,810 --> 00:07:57,680 we as a generally have stayed away from the environmental side of things just to try and retain a degree of focus. 80 00:07:57,680 --> 00:08:02,470 But with these temperatures are all CitiPower here we have an interesting interaction 81 00:08:02,470 --> 00:08:06,020 and one of the particular genes with with tetrahydrocannabinol the active ingredient of 82 00:08:06,020 --> 00:08:11,540 cannabis and exploring some of the mechanisms that may underlie the apparent association 83 00:08:11,540 --> 00:08:16,520 between your genetic makeup and the effect of smoking cannabis earlier in your life, 84 00:08:16,520 --> 00:08:20,180 has your risk of developing schizophrenia later. So that's an example. 85 00:08:20,180 --> 00:08:32,240 Some of got a gene environment interaction. So the nature nurture question remains sort of a lofty, lofty ideal and research at the moment. 86 00:08:32,240 --> 00:08:33,080 It certainly does. 87 00:08:33,080 --> 00:08:39,860 The problem, as I say, is that it's now possible to measure the genome very quickly in very large numbers of people to measure the environment, 88 00:08:39,860 --> 00:08:44,030 the people's environment, to the necessary level of detail. 89 00:08:44,030 --> 00:08:52,160 And longitudinally, not just cross-section, of course, is a far more expensive and long term and frankly, unfeasible operation. 90 00:08:52,160 --> 00:08:55,990 So I think the genes, the environment, bit of risk for psychiatric illnesses will go on, 91 00:08:55,990 --> 00:09:02,570 be more mysterious in some ways than the genetics will be just for that practical reason. 92 00:09:02,570 --> 00:09:12,620 So moving on to thinking about practical implications of your your research on genetics and how that might apply to the clinical room, 93 00:09:12,620 --> 00:09:22,790 you've written a bit about how what you've understood about the genetic contributions to mental illness might impact on on Ansonia medications. 94 00:09:22,790 --> 00:09:25,130 Could you tell us a bit about that? Yes. 95 00:09:25,130 --> 00:09:32,720 So I think potentially genetics can help treatment, but not necessarily exclusively drug treatments in several ways. 96 00:09:32,720 --> 00:09:38,570 One is it may turn out there are genetic predictors of response to the drugs we have available at the moment. 97 00:09:38,570 --> 00:09:45,540 Let's call pharmaco genomics. And again, there are some data, but nothing which at the moment means that, as you know, 98 00:09:45,540 --> 00:09:52,220 in clinical practise, we routinely would measure something genetic to help us decide which drug to use. 99 00:09:52,220 --> 00:10:00,060 But that's more interesting. You had given that we know current drugs have many, many limitations, is whether the disease could help us identify new. 100 00:10:00,060 --> 00:10:03,600 Or new drug targets, and I think, again, 101 00:10:03,600 --> 00:10:10,950 it's too early to say if you look at a few of the many genes that we have to think schizophrenia as an example, 102 00:10:10,950 --> 00:10:15,730 although there are many genes, they're not independent of each other in terms of what we think those genes are doing. 103 00:10:15,730 --> 00:10:20,190 So it was a clear convergence of many of the genes on certain core pathways, 104 00:10:20,190 --> 00:10:25,140 some of which were already potential drug targets for other reasons and others which are novel. 105 00:10:25,140 --> 00:10:33,570 So, for example, treatment and energy receptor signalling and synaptic plasticity seem to be common effects of a number of the risk genes 106 00:10:33,570 --> 00:10:41,470 and strategies to try and normalise or improve glutamate transmission had already been under development in the field. 107 00:10:41,470 --> 00:10:47,430 So one would imagine, I would hope that the genetic discoveries may both increase the focus on that and 108 00:10:47,430 --> 00:10:52,050 sharpen the focus to decide exactly where within what is an exciting pathway. 109 00:10:52,050 --> 00:10:56,940 The drugs of the next generation can more usefully targeted civilians and have a 110 00:10:56,940 --> 00:11:00,360 focus on some of the genes across schizophrenia and bipolar disorder and calcium. 111 00:11:00,360 --> 00:11:05,460 Certainly so calcium channel antagonists, for example, which we already have in medicine, 112 00:11:05,460 --> 00:11:10,740 cardiology, for example, if they have any as yet untapped potential, is novel drug treatments. 113 00:11:10,740 --> 00:11:13,320 But whether, you know, whether that's going to prove to be the case, 114 00:11:13,320 --> 00:11:19,950 whether those drugs will turn out to be effective and safe and meet all the usual problems of developing new psychiatric drugs remains to be seen. 115 00:11:19,950 --> 00:11:26,160 And I think the genetics, at the very least, is giving the field of psychiatric drug discovery a well needed boost. 116 00:11:26,160 --> 00:11:32,730 And it's helping, I think, reverse the previous decline of interest by the pharmaceutical industry in our field. 117 00:11:32,730 --> 00:11:43,410 We work in psychiatry using a descriptive diagnostic classification system where we have these well, perhaps some some might argue, 118 00:11:43,410 --> 00:11:56,310 quite old fashioned diagnoses of schizophrenia and bipolar and perhaps depression and anxiety in your in your work of understanding 119 00:11:56,310 --> 00:12:07,800 genetics and how this sort of quite a common thread of genetic contributions and sort of mental disorder across the spectrum. 120 00:12:07,800 --> 00:12:13,650 Have you had any thoughts about how or any thoughts about our current diagnostic system? 121 00:12:13,650 --> 00:12:21,360 Do you think it needs to be shaped in light of your understanding of genetics? 122 00:12:21,360 --> 00:12:26,700 Well, I think most people I'm quite sure our current system is wrong, but I'm not quite sure what I would do to make it any better. 123 00:12:26,700 --> 00:12:31,350 We can make it different from what any better because the genetics is not deterministic. 124 00:12:31,350 --> 00:12:38,640 It's not like a single gene disorder where you can start to redefine the syndrome by the genetic mutation, for example. 125 00:12:38,640 --> 00:12:48,030 It's naive to think we're ever, ever going to get to that sort of level of redescribed or syndromes on some biological basis. 126 00:12:48,030 --> 00:12:55,470 However, I think we can wield a lot better than the current time descriptive form of classification. 127 00:12:55,470 --> 00:13:01,680 So, for example, if we I mean, let's say we compare psychosis as a broad category with the book category, 128 00:13:01,680 --> 00:13:07,860 we still use the term dementia as a descriptive syndrome to describe see the constellation of symptoms. 129 00:13:07,860 --> 00:13:14,490 But we have individual dementias, the group defining the 4G and increased according to their genetic origins. 130 00:13:14,490 --> 00:13:20,100 Now, I would imagine what will happen to psychosis is it would begin to be picked apart in that kind of way. 131 00:13:20,100 --> 00:13:27,420 The majority of cases will continue to be idiopathic in a causal sense for a while, and they will need to continue to be described as such. 132 00:13:27,420 --> 00:13:34,470 But there will be, I suspect, individual rare causes of psychosis which become defined by their aetiology. 133 00:13:34,470 --> 00:13:37,320 Let's take another very topical and controversial at the moment, 134 00:13:37,320 --> 00:13:45,810 the possibility of some cases of psychosis due to anti autoantibodies and essentially autoimmune disorder presenting as schizophrenia. 135 00:13:45,810 --> 00:13:49,920 Now, that raises fascinating scientific and most logical questions. 136 00:13:49,920 --> 00:13:54,870 But that's, I think, an example where it may be that a small portion of cases become viewed differently and, 137 00:13:54,870 --> 00:14:01,740 of course, treated differently if the science or the evidence that holds up is fascinating. 138 00:14:01,740 --> 00:14:09,810 Hearing you talk about potential futures of of understanding in psychiatric presentations, 139 00:14:09,810 --> 00:14:16,430 in clinical practise and how your work is informed that I am speaking to you, 140 00:14:16,430 --> 00:14:29,370 it is is clear to me that your your your research is is very informs your practise, even though it's very scientifically based. 141 00:14:29,370 --> 00:14:39,930 It's very almost a pure science. It still has an ability to sort of make you think in a fresh way about about what when you see patients. 142 00:14:39,930 --> 00:14:46,980 And it would be just really interesting to hear how how you feel about being an academic psychiatrist. 143 00:14:46,980 --> 00:14:50,520 What do you think it brings brings to your professional life? 144 00:14:50,520 --> 00:14:58,090 And what would you say to actually aspiring academic psychiatrists? 145 00:14:58,090 --> 00:15:06,640 Well, I love the combination, I think it's a real privilege to both be a doctor, a clinician and sort of have all the, I guess, 146 00:15:06,640 --> 00:15:15,700 the trappings that go with that whilst also having the academic freedom to pursue or to me are interesting and challenging intellectual problems. 147 00:15:15,700 --> 00:15:20,890 And of course, the problem is that in the end, something might make a difference to somebody if in the long term future. 148 00:15:20,890 --> 00:15:29,500 My my contribution has been minor. I think at least 50 battles have picked up in the morning and feel motivated to to go on working both tonight. 149 00:15:29,500 --> 00:15:35,050 So I would encourage anybody who's interested either in psychiatry or in my case, in the neuroscience. 150 00:15:35,050 --> 00:15:41,860 The combination really is very rewarding. And there are still, despite the difficulties in funding, both on the clinical and the research, 151 00:15:41,860 --> 00:15:45,940 there are still real opportunities for a few bright and often hard working enough. 152 00:15:45,940 --> 00:15:53,900 You know, I would I would certainly be dogged in your pursuit of that in terms of career advice. 153 00:15:53,900 --> 00:15:57,670 Again, I would encourage young people to to read around, to look around, 154 00:15:57,670 --> 00:16:03,010 to ask around, to meet people in my personal experiences that certainly work for me, 155 00:16:03,010 --> 00:16:06,550 finding a person or feel that inspires a particular thing, 156 00:16:06,550 --> 00:16:14,750 a person who really can get you to the right starting point for your career and then goes on inspiring you. 157 00:16:14,750 --> 00:16:21,940 I've had the privilege to work with a number of really inspiring people throughout my career, and I think that's my biggest advice being inspired. 158 00:16:21,940 --> 00:16:25,970 Professor Paul Arrison has been great speech here this morning. Thank you very much for your time. 159 00:16:25,970 --> 00:16:30,220 Pleasure. Thank you. And thank you for tuning in to the Oxford University Psychiatry podcast series. 160 00:16:30,220 --> 00:16:33,123 We hope you listen to some more. Thank you. Goodbye.