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Record W2135783775 · doi:10.1093/schbul/sbs073

Psychiatry, The Pharmaceutical Industry, and The Road to Better Therapeutics

2012· editorial· en· W2135783775 on OpenAlexaff
H.C. Fibiger

Bibliographic record

VenueSchizophrenia Bulletin · 2012
Typeeditorial
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPharmaceutical industryPsychiatryBiological psychiatryPsychopharmacologyDrug discoveryWonderMedicinePsychologyPharmacologyBioinformaticsBiology

Abstract

fetched live from OpenAlex

Psychopharmacology is in crisis. The data are in, and it is clear that a massive experiment has failed: despite decades of research and billions of dollars invested, not a single mechanistically novel drug has reached the psychiatric market in more than 30 years. Indeed, despite enormous effort, the field has not been able to escape the “me too/me (questionably) better” straightjacket. In recent years, the appreciation of this reality has had profound consequences for innovation in psychopharmacology because nearly every major pharmaceutical company has either reduced greatly or abandoned research and development of mechanistically novel psychiatric drugs. This decision is understandable because pharmaceutical and biotechnology executives see less risky opportunities in other therapeutic areas, cancer and immunology being the current pipeline favorites. Indeed, in retrospect, one can wonder why it took so long for industry to abandon psychiatry therapeutics. So how did we get here and more importantly, what do we need to do to find a way forward? The discovery of all three major classes of psychiatric drugs, antidepressants, antipsychotics, and anxiolytics, came about on the basis of serendipitous clinical observation. At the time of their discoveries, the mechanisms by which these molecules produce their effects were unknown, and it was only later that antipsychotics were shown to be D2 receptor antagonists, antidepressants monoamine reuptake inhibitors, and anxiolytics GABA receptor modulators. It is interesting and perhaps instructive to consider whether any of these classes of drugs could have been discovered by current drug discovery strategies. For example, what genetic or preclinical data exist that point to the D2 dopamine receptor as a likely target for antipsychotic activity? Presently there are no genetic data that suggest that this receptor is expressed or functions abnormally in psychotic disorders. And without the benefit of the prior clinical validation, it is difficult to see how preclinical data alone would point to the D2 receptor as an interesting potential target for the treatment of psychotic disorders. The same can be said for monoamine transporters with respect to depression where, like psychosis, there are no animal models based on disease pathophysiology and no compelling preclinical data pointing to these as potential targets for antidepressant drugs. This raises a troubling question: if in retrospect the three major classes of currently prescribed psychiatric drugs would likely never have been discovered using current drug discovery strategies, why should we believe that such strategies are likely to bear fruit now or in the future? In order to recapture industry’s investment in psychiatric drug development, major changes in psychiatry will need to take place. These changes are necessary along the entire value chain, including both preclinical and clinical domains. What the field lacks is sufficient basic knowledge about normal brain function and how its disturbance underlies the pathophysiology of psychiatric disease. Because of this, as the record now clearly shows, it remains too early to attempt rational drug design for psychiatric diseases as currently conceived. The most obvious solution here is expanded investment in neuroscience. By necessity, this will be driven primarily by the efforts of clinical and basic scientists in academic settings because industry no longer has the appetite or the resources to engage in such activities. It is worth emphasizing that industry is in the business of making drugs, knowledge sometimes being a fortuitous byproduct. Academia is in the business of generating knowledge, and knowledge is what is needed at present. If we are successful in making the necessary changes, given the enormous level of unmet need left by existing psychiatric drugs, there is no doubt that industry will return and reinvest. A major barrier to progress is the current state of nosology in psychiatry. A new taxonomy is a prerequisite for meaningful progress. Today, few would argue that syndromes such as schizophrenia and depression are single, homogeneous diseases. And yet when it comes to clinical research, including clinical trials, both are still almost always treated as such. For example, studies continue to be published on the genetics of both of these syndromes despite the fact that there never will be a robust genetics of either condition as the nature and severity of specific symptoms are too heterogeneous across individuals to have any consistent genetic correlates. Similarly, while DSM conceptualizations of psychiatric disease may have utility in current clinical practice, when it comes to research, they too are a barrier to progress. A different approach would be to break these syndromes down into their component subsyndromes or symptoms and investigate the neurobiological substrates of these more precisely defined components. As an example, although there will never be a coherent biology of schizophrenia (any more than there ever could have been be a meaningful biology of cancer as it was understood 30 years ago), the chances seem better that there will be a biology of subsyndromes such as negative symptoms, delusions, or hallucinations (just as it is now understood that there are distinct biologies underlying different cancers). Advances in knowledge about the biological mechanisms underlying different cancers are ware a prerequisite for the huge current investment in developing novel cancer therapeutics. Psychiatry should learn from this example. Given that there cannot be a coherent biology for syndromes as heterogeneous as schizophrenia, it is not surprising that the field has failed to validate distinct molecular targets for the purpose of developing mechanistically novel therapeutics. Although it has taken our field too long to gain this insight, we seem to be getting there. For example, at the 2011 meeting of the American College of Neuropsychopharmacology, the need for change and the need for new strategies were predominant themes. The current situation calls for new research priorities in psychiatry. First, funds must be committed to fundamental research, and progress needs to be achieved with respect to determining the specific psychological, cognitive, and behavioral domains that could reasonably be thought to have definable biological substrates. It is very encouraging in this regard that the National Institute of Mental Health has launched the Research Domain Criteria (RDoC)1 initiative, a program that merits psychiatry’s enthusiastic support. Although space does not permit a detailed overview of this program, interested readers can refer to the NIMH web site. A highlight of RDoC is that it is agnostic to current diagnostic categories and will instead endeavor to generate future disease classifications on the basis of neuroscience. Thus, rather than starting with phenomenologically based illness definitions such as schizophrenia and seeking their neurobiological substrates, RDoC begins with current knowledge of brain circuits underlying specific domains of normal behavior and subsequently attempts to link them to clinical phenomena. Going forward, it will be fascinating to see how psychosis, including hallucinations, delusions, and thought disorder are addressed in the RDoC framework. Only with time and increased knowledge in neuroscience will we know whether RDoC is successful in getting us out of the syndromal dead end that we have been in. If it does succeed, concepts such as schizophrenia will surely be discarded and future generations will look back and might rightfully ask “What were they thinking?” There are likely additional potentially productive ways to get psychiatric drug research and development back on track but a few things are now clear: (1) what the field has been doing for the past 3 or 4 decades has failed to generate effective, mechanistically novel psychopharmaceuticals, (2) the pharmaceutical industry is now well aware of this fact and has therefore greatly reduced investing, and (3) there is no choice but to make changes in how we approach the study of disease mechanisms, drug discovery, and development in psychiatry. This will require major investments in neuroscience research, humility in the face of our ignorance, and a willingness to consider fundamental reconceptualizations of psychiatry itself. It will be a long, important, and exciting march. Subsequent to his academic career, Dr Fibiger was Vice President of Neuroscience at Eli Lilly and Company, Vice President of Neuroscience at Amgen, and Senior Vice President and Chief Scientific Officer at Biovail Laboratories International. Parts of this editorial have appeared in NeuroPerspective.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.314
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.309
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations95
Published2012
Admission routes1
Has abstractyes

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