Schizophrenia not a single disease but multiple genetically distinct disorders
news.wustl.edu
news.wustl.edu
(A) Characteristic symptoms: Two (or more) of the following,
each present for a significant portion of time during a
1-month period (or less if successfully treated):
(1) delusions
(2) hallucinations
(3) disorganized speech (eg. frequent derailment or incoherence)
(4) grossly disorganized or catatonic behavior
(5) negative symptoms, ie., affecting flatting, alogia,
or avolition.
Note: Only one Criterion A symptom is required if delusions
are bizzare or hallucinations consist of a voice keeping a
running commentary on the person's behavior or thoughts,
or two or more voices conversing with each other.
What is a "delusion?" What is "bizarre?" There is a lot of subjective judgment here, and just generally speaking this feels more like alchemy than science.I don't mean to criticize this approach too much though, because without a more detailed understanding of the underlying mechanisms and causes, this approach is the best possible way of at least clustering mental problems into groups. That at least allows people to share data about what treatments have worked for people in each cluster.
But if we can get a better understanding of the true underlying causes, and isolate the causes with better granularity, it should put us in a much better position to (I hope) provide much better and more specific treatment.
These symptoms do cluster. Most people never ever experience halluzinations, but then they also experience delusions or other psychotic problems, relatively specific social problems, paranoia, etc.
In some sense this is a human-readable equivalent of logistic regression. Because schizophrenia isn't as well understood as some other diseases, you can only make "exact" models about meaningless abstractions, or create fuzzy models which allow meaningful treatment decisions.
The model is clinically useful, but the assumption (which the DSM does not itself advertise or support, which is made implicitly when its categories are used as the basis for research) that the diagnostic categories in the DSM represent commonality in origin is an impediment to research.
While many people have overstated the NIMH move away from DSM categories as a basis for research funding as something like an indictment of the DSM in its intended role or, even more hyperbolicly, a rejection of psychiatry as a field, it is an important move that recognize that the DSM categories' utility in their intended purpose does not imply that they represent real commonality.
Neuroscience tries to get a firmer grip on how the brain works, and what goes wrong when it doesn't. This research hardly touches the clinical practice as of yet, but ultimately diagnostics and treatment might improve largely.
Current models are fuzzy, but in the absence of better information they are the best we can do, and they are useful.
There are problems with having to match X of Y symptoms. Bob might be a close fit for 3 symptoms, and a weaker fit for 3 others, and not at all for the last 2. But, once Bob has the diagnosis, people interacting with Bob might not know what symptoms Bob matches and they might make assumptions - "People with your diagnosis do that because SYMPTOM".
It can be very frustrating.
There are two points to consider: (a) the principle underlying the hypothesis is sound vs. is not, and (b) the computational model of the hypothesis is deterministic vs. probabilistic. These two have to be considered separately when performing an evaluation/verification.
Take, for example, Irritable Bowel Syndrome - no one exactly knows what causes it, or if it's even a single disease, but there are a cluster of symptoms that indicate that a certain set of treatments might be useful (or not, depending on the patient). It is likely also a cluster of similar-looking diseases. Sounds a lot like the state of psychology, yeah?
Hopefully as we start understanding the brain, we can start diagnosing actual diseases with known causes, and not just a set of associated visible issues.
> That is why NIMH will be re-orienting its research away from DSM categories. Going forward, we will be supporting research projects that look across current categories – or sub-divide current categories – to begin to develop a better system. What does this mean for applicants? Clinical trials might study all patients in a mood clinic rather than those meeting strict major depressive disorder criteria. Studies of biomarkers for “depression” might begin by looking across many disorders with anhedonia or emotional appraisal bias or psychomotor retardation to understand the circuitry underlying these symptoms. What does this mean for patients? We are committed to new and better treatments, but we feel this will only happen by developing a more precise diagnostic system. The best reason to develop RDoC is to seek better outcomes.
http://www.nimh.nih.gov/about/director/2013/transforming-dia...
I wonder if the results seen here are a result of this change in strategy?
Those attitudes - that mental illness are caused by the family - are old and not acceptable any more. See RD Laing for an example of a psychiatrist who used to push this incorrect theory. http://en.wikipedia.org/wiki/R._D._Laing
"Not acceptable"? Your post suggests that, because the "refrigerator mom" idea has been debunked, that mental health professionals can't think that way any more. But this isn't how psychiatry and psychology work. An absence of solid science (of explanations) means that, even though a way of thinking has been discarded at the top, those at the bottom are free to keep thinking the same way.
This is why, more than a year after Asperger Syndrome was abandoned, psychiatrists and psychologists continue to apply the diagnosis. This is why, decades after homosexuality was dropped from the DSM, psychiatrists and psychologists are free to offer therapies meant to correct this "defect" in some of their clients.
> See RD Laing for an example of a psychiatrist who used to push this incorrect theory.
Incorrect or not, it wasn't a theory, defined in science as an idea about a cause, an explanation, with supporting evidence and falsifiable by new evidence. There aren't any of those in psychology.
It's like breaking a stick. The stick can be really thin and easy to break, or really thick and sturdy. But either way, outside pressure has to be applied to break it. The amount of pressure required varies.
Consider the case of H. pylori and ulcers. This 2006 page from the CDC says, "Recently scientists have found that most ulcers are caused by an infection". (http://www.cdc.gov/ulcer/consumer.htm)
What is "recent" in medical research? Over two decades: http://www.cdc.gov/ulcer/history.htm
That is, the "recent" discovery of H. pyloi as the primary cause of ulcers was made in 1982, and general adoption of antibiotic treatment was still a work in progress in the late '90's and early 2000's.
On this basis, the current results--which will be difficult and expensive to replicate because the study is uniquely large and well-designed--will have at best a generational impact. Again, this is not entirely a bad thing: medical conservatism keeps doctors from doing a lot of harm, however frustrating it might be for those of us in the innovation business.
in the 3rd world people can't afford drugs so tend to go for the family option
doctors in finland have adapted the 3rd world approach successfully and collected a lot of data along the way - incidence of schizophrenia is dropping in their region
http://www.mindfreedom.org/kb/mental-health-alternatives/fin...
It's little better than the Scientology "PSYCHIATRY IS DEATH" material.
This article resonated with me very strongly, since I lived it. It seems to have struck a nerve for you too - maybe you're on the other side of the devout following?
Edit: I'm not claiming an emotional response to it, just that I can vouch for the validity of it in my case. Anecdotal evidence, but it's still a data point.
"X appeals to me emotionally because it conforms to and provides a pat explanation for my personal experience" does not imply "X is true".
In fact, disconnecting those two concepts is an essential step to beginning to approach the world scientifically.
In the early nineties I worked at the University of Pennsylvania measuring brain MRIs as part of a schizophrenia study. They knew there was a strong genetic component, but they also knew that not everybody with a strong genetic weighting would develop the disorder. They had plenty of records of identical twins where one suffered from schizophrenia and the other did not.
The model then was the Diathesis-Stress model [1]. The diathesis, or predisposition, is in the genes. They thought the stress could be one of a number of things: maternal infection while the baby was still developing, birth complications such as brief interruptions in oxygen flow, infections after the baby is born, and perhaps extreme psychological trauma, like combat.
I believe that over time doctors will cease with the labels such as "inattentive ADHD", and merely treat debilitating inattentiveness based on the individual. The fact that ADHD can be hyperactive or inattentive, has always seemed bizarre to me. One person can't sit still, but my problem is I can sit still to a fault. But we have the same underlying disorder that's treated with the same medications.
The number of types of clinical depression, for example, is absurd. It's not merely depression, it's bipolar disorder. It's not merely bipolar disorder, it's bipolar disorder type II. Seriously? Decades from now we're going to regard this approach as highly primitive and bordering on pseudo-scientific.
Because every brain is different, trying to strictly classify these disorders would force people outside of a category, but the other side of that is that we have schizophrenia which seems incredibly broad "junk-drawer" sort of classification, to the point where it's easy to imagine someone who is highly eccentric being misdiagnosed.
I have no credentials obviously so this is all baseless conjecture.
Biploar is different from depression, which is generally treated with SSRIs. I'm neither a chemist, or a molecular biologist, but I infer, from reading, that depression is caused by different chemistry, related to different parts of the brain. Depression and bipolar may have similar symptoms, at times, but the biological origins seem to be unrelated.
There's a strong body of evidence that bipolar is correlated with schizophrenia, autism, and ADHD. Again, this isn't my field, but each of these diseases relate to the dopamine pathways. And, there are quite a lot of genes that take part in and/or affect tyrosine-dopamine production. I also infer that the gradients of these diseases are caused by combinations of genes, in each individual. So, it makes sense that biploar I is treated differently than bipolar II. Once scientists have better understandings of genetics, treatments will become more granular and targeted. But, currently, if you're a sufferer, you must take a cocktail of drugs, in different doses, until you get the 'right one'. It's not the best way, but it's the best that we have today.
As an aside, I find the original article very surprising because it's widely known that multiple genes and SNPs are involved in incurring risks for developing schizophrenia (and bipolar and ADHD). To me, who continues to research the topic, I had just assumed that the results of the research were true. But, I'm glad that they were able to take controlled studies to help verify something that is deductive.
I doubt it. What we'll most likely do is view it as highly primitive in the same way that early developments in most fields are, and that the initial categorizations are systematizations of observations without even a strong hypothesis behind them. Its not pseudo-scientific, though, its part of what has to happent to start doing science. You have to define what the observed phenonmena are that you are trying to explain scientifically. (And, that being said, there is science that has been done based on it without, often, being heavily involved in exploring causes -- empirical exploration of how things in the category respond to environmental conditions is still science. We also have run into the fact that its often of limited utility and ambiguous results, likely because the categorization based on symptoms doesn't reflect the underlying mechanisms well, which is why we need more.)
Please don't make the mistake of thinking bi-polar is in anyway similar to depression. They are very different illnesses with different treatments.
And, again, as we learn more about bi-polar we may find that it's a bunch of different illnesses that get given the umbrella diagnosis of bi-polar.
Your example of ADHD being treated with the same meds is just a function of our lack of knowledge of ADHD. So we might not always use the same meds for treatment.
In the future we'll have genetic testing to determine what meds will be useful or which meds are unlikely to work.
You don't use the same meds for bi polar and depression - it is dangerous to do so.
People with depression should be given access to CBT with an anti depressant if needed.
People with BiPolar should not routinely take antidepressants, especially not if they are starting a manic phase. They should be taking lithium, valproate, or olanzipine.
http://www.nice.org.uk/guidance/CG38/chapter/Key-priorities-...
I'm not a scientist or an engineer, so maybe somebody who has read the published article can help me out here. I wonder what the percentages mean. How do they determine whether or not someone has a 73% chance of being diagnosed with the disease? And what does that mean exactly?
On the other hand, this research raises even more questions. For instance, I wonder what steps you could take to help a child with, say, a 60% chance of being diagnosed with schizophrenia? Are the genes like switches, in the sense that certain environmental variables can flip them on and off? If so, I guess there is a lot that could be done to help someone who has a good chance of being diagnosed.
The percentages mean that if you take 100 people with a given combination of SNPs, 73 of them will get schizophrenia. People without that combination will have a much lower chance.
The good news for you and your son is that because they have identified multi-gene effects, the odds of you or your son having all the same SNPs as your sister is very low. You and your sister share half your DNA, so if there are ten genes involved, each with a 50/50 chance of being shared, that's a 1 in 1024 chance (2^10). For your son it's one in a million (unfortunately I can't tell from the article or the journal abstract how big the SNP sets involved actually are, but given the difficulty in finding them I'd expect more than four or five SNPs per set.)
With regard to your other questions, the honest answer is: nobody knows, although there will be any number of people trying to sell you on unproven solutions, mostly based on the demon of the moment. Twenty years ago it might have been red meat. Five years ago it would have been gluten. Today it would be refined sugars. Tomorrow it will be something else. The only thing we can be sure of is that the promoters will be smug, self-assured and self-deluded (or dishonest, but I think self-delusion is more common).
Table 1 ( https://pdf.yt/d/rErZm8HUluBbj8xu / https://dl.dropboxusercontent.com/u/5317066/2014-arnedo.pdf / https://www.sendspace.com/file/ht7shm ) list characteristics of the sets; they range from a low of 3 to a high of 32, with associated risks of 70 - 100% (!).
The size of the sets with a risk of schizophrenia between 90% and 100% is 11/11/19/4/6/3/10/6/9. (SNP set 87\_76 is the one with just 3 SNPs and a risk of 95%. Very nasty.)
Unfortunately I don't think this risk information is enough to to calculate how much predictive value SNPs would have for someone undiagnosed since you'd need to know how many healthy people have these SNP sets as well? But I'm sure the genomics hobbyists and anyone with 23andme data are probably looking closely at the paper and trying to extract risk estimates...
> Several studies have suggested that regular, long-term cannabis use is one of a number of environmental factors that, in combination with certain genetic predisposing factors, may significantly increase a young individual’s chance of experiencing psychosis and developing schizophrenia. However, numbers of people being diagnosed with schizophrenia remained stable over time during which the number of cannabis users increased and average strength rose significantly.
http://www.drugscience.org.uk/blog/2013/10/24/think-cannabis...
As other comments suggest, research along this line may eventually lead to more effective interventions for treating or even preventing schizophrenia. We already know (links below) that schizophrenia does have a very strong component of genetic risk, yet every once in a while identical (monozygotic) twins brought up in the same household are discordant for schizophrenia, so plainly some "environmental" risks matter too. It will be good to continue the research program on this devastating illness.
AFTER EDIT: Irving Gottesman is looking forward to reading the journal article by his former colleagues at WUSTL. Of course a preliminary finding like this will have to be replicated in other data sets to become part of established scientific knowledge. Then the hard work of matching treatments to patient genome patterns will begin.
[1] https://news.ycombinator.com/item?id=4661802
Just like cancer isn't caused by one thing, many of the common "psych" diseases aren't caused by one thing. The more obvious candidates for a strong genetic component are disorders like depression, alcoholism, and ADHD; but I'm sure this will be broadened into other mental health areas like diet, obesity and stress management.
There is still a strong environmental component, so I'm not trying to say that genetics is everything, but it's still important.
In many ways, this isn't surprising. It's been evident that many genes have been linked to psychiatric disorders, but no "smoking guns" are evident, usually a gene accounts for <2% of the variance, and dozens or hundreds of genes have some influence.
So it's logical that it takes a cluster of many genes contributing something to have enough effect to be clinically apparent. How genes interact is an enormously complicated matter, and perhaps an even bigger question is the role of gene-environment interaction.
One thing to track is with the multitude of genes shown to be clustering, an important element is how "tight" the clustering is. I anticipate we'll find out as it's investigated further that overlap among clusters is significant, that is, "blends" or mixed/intermediate types are probably common. Certainly in the real world there are seldom pure cases of any condition, the boundaries tend to be fuzzy.
Not that the article implies at all that the new work gives "answers", but with any luck, it will lead to new insights, shed light on the astonishingly complex processes, and clues to making progress. Just expect the path will have many more twist and turns on the way there.
Systemic issues are likely hard to research, and so we take this scienctific (method) approach of studying small bits in isolation. This is similar to food science - there are too many factors to clearly study how we get nutrients from our food, and so science has studied bits in isolation (vitamin c, vs "orange juice with pulp and eggs").
My hope is that we'll find ways to study the overall health/status of an individual and see how that all adds up to behavior we deem "unhealthy", rather than being "trapped" poking at minute details (or perhaps well finally get enough detail to see the bigger picture).
Anyway I have zero expertise in this, but this is my guess on the situation.
Any subdivision must lead to better treatment options and guidance to be meaningful.
"Ninety-three clinical features of schizophrenia from interviews based on the Diagnostic Interview for Genetic Studies (30), as well as the Best Estimate Diagnosis Code Sheet submitted GAIN/non-GAIN to dbGaP, were initially considered with the MGS sample (see references 31, 32; see also Appendix I in the online data supplement). The Diagnostic Interview for Genetic Studies was utilized for the Portuguese Island samples. Corresponding features were extracted in CATIE from the Positive and Negative Syndrome Scale, the Quality of Life Questionnaire, and the Structured Clinical Interview for DSM-IV (23). These phenotypic sets and their relations with one another characterize the phenotypic architecture of schizophrenia (Figure 1B)."
They did consider but reject using medical records (which is where a Watson might come into play):
"Despite the detailed phenotypic information we had available about subjects, there are still limitations to data obtained even from reliable structured interviews like the Diagnostic Interview for Genetic Studies. Interview data are based on self-reports that are interpreted and coded by interviewers. Subjects may not be willing or able to report their symptoms accurately. We had obtained information from treatment records and family history reports, but we chose not to use such additional information, except for the resulting best-estimate final DSM ratings of diagnosis, because its extent and quality varied in unmeasured ways between cases. The greatest limitation in the phenotypic assessments in available GWAS databases has been the overreliance on subjective symptoms with an absence of objective measurements, such as cognitive tests, brain electrophysiology, and neuroimaging (37). Subjective symptoms are fuzzy indicators of the underlying pathophysiology. Objective measures could complement the assessment of symptoms and could be applied to both cases and controls, thereby providing a more comprehensive and valid characterization of the phenotype of all subjects. The biggest challenge in GWAS is access to studies with rich phenotypic data about both subjective and objective measures obtained systematically from all subjects."
There is a cognitive dissonance in biology/medicine: On the one hand they complain about too much data to process, but at publication time, the power is too low...
An unpaid intern can be cheaper than fancy artificial intelligence!
The idea of the four broad groups at the time (from very rusty memory here) stemmed from plus/minus showing cognitive/perceptual disturbances (like auditory hallucinations) and plus/minus showing social withdrawal symptoms, along with a couple of other things I can't recall.
It's not to cast aspersions on the article - mental health research is always good - just to say that this idea has been bouncing around for quite a while.
Links to studies published in peer-reviewed journals or GTFO. "Modern diet" is the medieval humorism of the last decade.
http://evolutionarypsychiatry.blogspot.com/2013/11/gluten-an...
There is also rising evidence that gut flora correlate with various mental health issues.
http://www.apa.org/monitor/2012/09/gut-feeling.aspx
http://www.scientificamerican.com/article/gut-bacteria-may-e...
There may well be something to this whole thing, but the science just isn't there right now, at all. Right now what we need are studies, not solutions. The evidence is non-existent.