{"id":14421,"date":"2011-10-06T23:43:19","date_gmt":"2011-10-07T03:43:19","guid":{"rendered":"http:\/\/1boringoldman.com\/?p=14421"},"modified":"2011-10-07T00:45:41","modified_gmt":"2011-10-07T04:45:41","slug":"warned","status":"publish","type":"post","link":"https:\/\/1boringoldman.com\/index.php\/2011\/10\/06\/warned\/","title":{"rendered":"warned&#8230;"},"content":{"rendered":"\n<p align=\"center\"><a href=\"http:\/\/www.personalizedmedicinecoalition.org\/members\/member-list\" target=\"_blank\"><img loading=\"lazy\" decoding=\"async\" width=\"344\" border=\"0\" height=\"72\" src=\"http:\/\/www.personalizedmedicinecoalition.org\/sites\/default\/files\/zen_pmc_logo.gif\" \/><\/a><\/p>\n<p align=\"center\"><a href=\"http:\/\/www.ageofpersonalizedmedicine.org\/\" target=\"_blank\"><img loading=\"lazy\" decoding=\"async\" width=\"318\" border=\"1\" height=\"77\" src=\"http:\/\/www.ageofpersonalizedmedicine.org\/objects\/img_global\/logo.jpg\" \/><\/a>&nbsp;<\/p>\n<p align=\"justify\"><a href=\"http:\/\/www.personalizedmedicinecoalition.org\/members\/journal\" target=\"_blank\"><img loading=\"lazy\" decoding=\"async\" width=\"96\" vspace=\"4\" border=\"0\" align=\"right\" hspace=\"4\" height=\"125\" src=\"http:\/\/www.futuremedicine.com\/na101\/home\/literatum\/publisher\/fum\/journals\/covergifs\/pme\/cover.gif\" \/><\/a>It&#8217;s hard not to be skeptical about new scientific developments in matters psychiatric after the last several decades of confusion and misinformation. SSRIs, SNRIs, Mood Stabilizers, Atypical Antipsychotics &#8211; each came with inflated or distorted claims of efficacy and illusions of safety that evaporated with widespread usage. While that&#8217;s an expected danger in any medical advance, the widespread collusion of academic and organized psychiatry with the pharmaceutical industry upset the balance between restraint and innovation, leaving patients and practitioners alike fumbling in the dark on a what started out to be a bright, shiny day.<\/p>\n<div align=\"justify\">Comes now <em>personalized medicine<\/em> &#8211; the name given to the treatment possibilities hypothetically opened up now that genetic testing is available. A number of psychiatric disorders have long been thought to be inherited, though the familial associations are statistical rather than Mendelian and likely represent a level of genetic complexity yet undeciphered &#8211; Schizophrenia, Manic-Depressive Illness, Attention Deficit Disorder, etc. So the exciting genomic technology available offers a new avenue for that research, but that&#8217;s not what <em>personalized medicine<\/em> means. Says <a href=\"http:\/\/en.wikipedia.org\/wiki\/Personalized_medicine\" target=\"_blank\"><strong><font color=\"#0066ff\">Wikipedia<\/font><\/strong><\/a>:                   <\/div>\n<blockquote>\n<div align=\"justify\"><sup>Personalized medicine is a medical model  emphasizing in general the customization of healthcare, with all  decisions and practices being tailored to individual patients in  whatever ways possible. Recently, this has mainly involved the  systematic use of genetic or other information about an individual  patient to select or optimize that patient&#8217;s preventative and therapeutic care.<\/sup><\/div>\n<\/blockquote>\n<div align=\"justify\">The classical example has to do with the <a href=\"http:\/\/en.wikipedia.org\/wiki\/Cytochrome_P450\" target=\"_blank\"><strong><font color=\"#660033\">Cytochrome P450<\/font><\/strong><\/a> family of enzymes that moderate drug metabolism:<\/div>\n<blockquote>\n<div align=\"justify\"><sup>Many drugs may increase or decrease the activity of various CYP isozymes either by <strong><font color=\"#200020\">inducing<\/font><\/strong> the biosynthesis of an isozyme (enzyme induction) or by directly <strong><font color=\"#200020\">inhibiting<\/font><\/strong> the activity of the CYP (<span class=\"mw-redirect\">enzyme inhibition<\/span>). This is a major source of adverse drug interactions, since changes in CYP enzyme activity may affect the metabolism and <span class=\"mw-redirect\">clearance<\/span>  of various drugs. For example, if one drug inhibits the CYP-mediated  metabolism of another drug, the second drug may accumulate within the  body to toxic levels. Hence, these drug interactions may necessitate  dosage adjustments or choosing drugs that do not interact with the CYP  system. Such drug interactions are especially important to take into  account when using drugs of vital importance to the patient, drugs with  important side-effects and drugs with small therapeutic windows, but any drug may be subject to an altered plasma concentration due to altered drug metabolism.<\/sup><\/div>\n<\/blockquote>\n<div align=\"justify\">The <u><a href=\"http:\/\/medicine.iupui.edu\/clinpharm\/ddis\/table.aspx\" target=\"_blank\"><strong><font color=\"#200020\">list of drugs<\/font><\/strong><\/a><\/u> affected is impressive [including many of the psychopharmacologic medications] and clarifies a lot about drug reactions and toxicities, but even that&#8217;s not where all the excitement about <em>personalized medicine<\/em> in psychiatry centers. It&#8217;s in the area of treatment choice.                <\/div>\n<p align=\"justify\">Matters genetic are not so simple as they were in high school biology. Genes encode proteins &#8211; which about covers everything there is, so the breakthrough of sequencing the Human Genome only opens a new door but says little about what&#8217;s on the other side. The possibilities are both exciting and daunting &#8211; so genomics, proteomics, and metabolomics are quite the rage but remain obscure. In psychiatry, the focus is on using genotyping to predict drug response. Such a hypothesis requires skipping an ocean of scientific steps, but that never stopped anyone. There are two approaches &#8211; one is to look at genes that might have some effect on known mechanisms of a medication [like serotonin metabolism] and compare the genotypes of responders to various drugs. Another approach is to measure as many things as humanly possible and look for any associations with drug response &#8211; going &quot;fishing.&quot; Both methods are underway in multiple foci as we speak.<\/p>\n<div align=\"justify\">Other than a new vocabulary, it all has a familiar ring. <em>Personalized medicine<\/em> has become the new future, the new leading edge in psychiatric research. What&#8217;s familiar? The voices for one thing seem to come from a familiar chorus. Last week we listened to <strong><font color=\"#200020\">Dr. Jeffrey Lieberman<\/font><\/strong> talk about the topic. And here&#8217;s a sampling of some other voices:        <\/div>\n<ol>\n<div align=\"justify\"><a target=\"_blank\" href=\"http:\/\/1boringoldman.com\/index.php\/2011\/05\/04\/8463\/\"><u><strong><font color=\"#200020\">NIMH STUDY<\/font><\/strong><\/u><\/a>:<\/div>\n<ul>\n<div align=\"justify\"><sup>&quot;This application brings together researchers with extensive experience in conducting large clinical trials and experts at the forefront of the neurobiology of depression, including: clinical trials [<strong><font color=\"#200020\">Trivedi, Fava, Schatzberg, Nierenberg, Shelton, Gaynes, Hollon<\/font><\/strong>], genetics [<strong><font color=\"#200020\">Smoller, Binder, McMahan, Perils<\/font><\/strong>], neuroimaging [<strong><font color=\"#200020\">Phillips, Sheline, Etkin, Pizzagalli, Buckner<\/font><\/strong>], qEEG [<strong><font color=\"#200020\">losifescu, Ellenbogen<\/font><\/strong>], neurotrophins\/cytokines [<strong><font color=\"#200020\">Duman, Sanacora, Turck, Shelton<\/font><\/strong>], clinical predictors [<strong><font color=\"#200020\">Shelton, Hollon, Trivedi, Fava, Nierenberg, Goodman, Yehuda<\/font><\/strong>], neuroendocrine markers [<strong><font color=\"#200020\">Holsboer, Schatzberg, Shelton, Yehuda<\/font><\/strong>], epigenetics [<strong><font color=\"#200020\">Nestler, Yehuda<\/font><\/strong>],and cognitive behavior therapy [<strong><font color=\"#200020\">Hollon, Manber, Arnow<\/font><\/strong>]. This team will also be guided by internationally known biomarker scientists [<strong><font color=\"#200020\">Holsboer, Schatzberg, Krystal, Charney, Goodman<\/font><\/strong>], as well as a highly qualified group of biostatisticians [<strong><font color=\"#200020\">Kraemer, Wisniewski, Schoenfeld<\/font><\/strong>].&quot;<\/sup><\/div>\n<\/ul>\n<div align=\"justify\"><a target=\"_blank\" href=\"http:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC3036635\/\"><u><strong><font color=\"#200020\">International Study to Predict Optimized Treatment for Depression<\/font><\/strong><\/u><\/a><strong><font color=\"#200020\"> [iSPOT-D]<\/font><\/strong>:<\/div>\n<ul>\n<div align=\"justify\"><sup>&quot;by <strong><font color=\"#200020\">Leanne M Williams<\/font><\/strong> &#8230;, <strong><font color=\"#200020\">A John Rush<\/font><\/strong>, <strong><font color=\"#200020\">Stephen H Koslow<\/font><\/strong>, <strong><font color=\"#200020\">Stephen R Wisniewski<\/font><\/strong>, <strong><font color=\"#200020\">Nicholas J Cooper<\/font><\/strong>, <strong><font color=\"#200020\">Charles B Nemeroff<\/font><\/strong>,<strong> <font color=\"#200020\">Alan F Schatzberg<\/font><\/strong>, and <strong><font color=\"#200020\">Evian Gordon<\/font><\/strong>&quot;<\/sup><\/div>\n<\/ul>\n<div align=\"justify\"><a target=\"_blank\" href=\"http:\/\/www.genomind.com\/expertise-page\/stephen-m-stahl\"><u><strong><font color=\"#200020\">genOmind<\/font><\/strong><\/u><\/a>:<\/div>\n<ul><sup>      <\/p>\n<div><strong><a title=\"Scott T. Aaronson, MD\" href=\"http:\/\/www.genomind.com\/expertise-page\/scott-t-aaronson\"><font color=\"#200020\">&bull; Scott T. Aaronson, MD<\/font><\/a><\/strong><\/div>\n<div><strong><a title=\"Maurizio Fava, MD\" href=\"http:\/\/www.genomind.com\/expertise-page\/maurizio-fava\"><font color=\"#200020\">&bull; Maurizio Fava, MD<\/font><\/a><\/strong><\/div>\n<div><strong><a title=\"Allan I. Levey, MD, PhD\" href=\"http:\/\/www.genomind.com\/expertise-page\/allan-i-levey\"><font color=\"#200020\">&bull; Allan I. Levey, MD, PhD<\/font><\/a><\/strong><\/div>\n<div><strong><a title=\"Anil Malhotra, MD\" href=\"http:\/\/www.genomind.com\/expertise-page\/anil-malhotra\"><font color=\"#200020\">&bull; Anil Malhotra, MD<\/font><\/a><\/strong><\/div>\n<div><strong><a title=\"Roy H. Perlis, MD, MSc\" href=\"http:\/\/www.genomind.com\/expertise-page\/roy-h-perlis\"><font color=\"#200020\">&bull; Roy H. Perlis, MD, MSc<\/font><\/a><\/strong><\/div>\n<div><strong><a title=\"Stephen M. Stahl, MD, PhD\" href=\"http:\/\/www.genomind.com\/expertise-page\/stephen-m-stahl\"><font color=\"#200020\">&bull; Stephen M. Stahl, MD, PhD<\/font><\/a><\/strong><\/div>\n<p> <\/sup><\/ul>\n<\/ol>\n<div align=\"justify\">We&#8217;ve heard from many of them before: <strong><font color=\"#660033\">STAR*D<\/font><\/strong>, <strong><font color=\"#000099\">CO-MED<\/font><\/strong>, <strong><font color=\"#003300\">TMAP<\/font><\/strong>, <strong><font color=\"#663366\">IMPACTS<\/font><\/strong>, Senator Grassley, Speaker&#8217;s Bureaus, Advisory Boards, the long COI lists at the ends of articles, countless drug trials, etc.<\/div>\n<p align=\"justify\">Something else familiar? It&#8217;s the <em>Clinical Trial Model<\/em> so typical for the last few decades. Out go the protocols. Clinical evaluators select patients with structured interviews or standardized ratings. Off go the samples to the outside lab. Meds are given. Data is gathered. Results are returned. The current buzz-word is <strong><font color=\"#200020\">Translational Science<\/font><\/strong> &#8211; <em>getting things from the bench to the bedside quickly<\/em>. Well whose bench? What bedside? Perhaps a better definition would be <strong><font color=\"#200020\">Translational Science<\/font><\/strong> &#8211; <em>from the printouts to the journal [or to the editorial assistant]<\/em>. It&#8217;s &#8216;hands off&#8217; &#8216;guest author&#8217; research and it shows in the monotony of the papers and their obfuscated statistics and graphs.<\/p>\n<p align=\"justify\">So my skepticism about personalized medicine in psychiatry is justified by the players involved and their collective track record. But there&#8217;s more. The focus is on Major Depressive Disorder, a clearly heterogeneous group of patients. They&#8217;re testing drugs that barely separate from placebo in the first place and using subject gathering techniques known to insure heterogeneity. And in some cases, the experiment has already been done and failed. For example. In <strong><font color=\"#660033\">STAR*D<\/font><\/strong> they used Citalopram followed with Bupropion with diminishing returns. In <strong><font color=\"#000099\">CO-MED<\/font><\/strong> they compared Escitalopram with and without Bupropion &#8211; no difference. What would make Dr. Trivedi think responders are two different populations? Beats me! Those are the drugs he&#8217;s picked for his <u><strong><font><a target=\"_blank\" href=\"http:\/\/1boringoldman.com\/index.php\/2011\/05\/04\/8463\"><u><strong><font color=\"#200020\">NIMH STUDY<\/font><\/strong><\/u><\/a><\/font><\/strong><\/u>.<\/p>\n<div align=\"justify\">Yet another reason for my skepticism has to do with the <em>power<\/em> of hypothesis [<em>power<\/em> as in exponent]:<\/div>\n<ul><sup><\/p>\n<div align=\"justify\">hypothesis: depression is a unitary category = doubtful<\/div>\n<div align=\"justify\">hypothesis: depression is biological = sometimes<\/div>\n<div align=\"justify\">hypothesis: the biology is related to neurochemistry = maybe<\/div>\n<div align=\"justify\">hypothesis: that neurochemistry is genetic = possibly<\/div>\n<div align=\"justify\">hypothesis: drugs work by altering the neurochemistry = probably<\/div>\n<div align=\"justify\">etc.<\/div>\n<p><\/sup><\/ul>\n<div align=\"justify\">[<strong><font color=\"#200020\"> doubtful x sometimes x maybe x possibly x probably x &#8230; <\/font><\/strong>] = <strong><font color=\"#200020\">hypothesis<sup>5+<\/sup><\/font><\/strong>. My example may be forced but I stand on my point &#8211; this is way too speculative, and from a group whose history with speculation is decidedly challenged. The problem is, they&#8217;re going to find something. Measure enough things and you&#8217;ll find some combo of parameters that correlates with something else. Even statistics themselves become speculative in the situation of such fishing expeditions &#8211; arbitrary corrections that <em>hopefully<\/em> adjust for the sea of parameters. <\/div>\n<p align=\"justify\"><img decoding=\"async\" width=\"96\" vspace=\"4\" border=\"0\" align=\"left\" src=\"http:\/\/1boringoldman.com\/images\/traffic.gif\" \/>Even more worrisome than the academic studies, the proprietary versions <u>will<\/u> produce reports with associations &#8211; no question about it. For example, <strong><font color=\"#200020\"><a href=\"http:\/\/www.burrillreport.com\/content\/podcast\/BRP-7-18-11.mp3\" target=\"_blank\"><u>genOmind<\/u><\/a> <\/font><\/strong>compares your phenotype against 18 antidepressants and 8 antipsychotics and makes suggestions based on a traffic light motif &#8211; red light, yellow light, green light [how they make those distinctions wasn&#8217;t on the podcast]. Independent of the science, it offers a fine antidote to the growing complaints about poor efficacy for the antidepressants, &quot;you must&#8217;ve on the wrong one for your phenotype.&quot;   <\/p>\n<div align=\"justify\">I have little doubt that genomics will ultimately produce some powerful medical advances, maybe even in psychiatry, but the current efforts to discriminate among the current medications for the treatment of depressed people is suspect from the start. At issue: Are we going to tolerate the kind of fuzzy math and trivial differences that we&#8217;ve accepted in the recent past? Or are we going to insist on reasonable scientific rigor, reproducability, and robust rather than trivial differences this time around? We&#8217;ve been more than amply warned&#8230;  <\/div>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; It&#8217;s hard not to be skeptical about new scientific developments in matters psychiatric after the last several decades of confusion and misinformation. SSRIs, SNRIs, Mood Stabilizers, Atypical Antipsychotics &#8211; each came with inflated or distorted claims of efficacy and illusions of safety that evaporated with widespread usage. While that&#8217;s an expected danger in any [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[2],"tags":[],"class_list":["post-14421","post","type-post","status-publish","format-standard","hentry","category-politics"],"_links":{"self":[{"href":"https:\/\/1boringoldman.com\/index.php\/wp-json\/wp\/v2\/posts\/14421","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/1boringoldman.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/1boringoldman.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/1boringoldman.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/1boringoldman.com\/index.php\/wp-json\/wp\/v2\/comments?post=14421"}],"version-history":[{"count":43,"href":"https:\/\/1boringoldman.com\/index.php\/wp-json\/wp\/v2\/posts\/14421\/revisions"}],"predecessor-version":[{"id":45323,"href":"https:\/\/1boringoldman.com\/index.php\/wp-json\/wp\/v2\/posts\/14421\/revisions\/45323"}],"wp:attachment":[{"href":"https:\/\/1boringoldman.com\/index.php\/wp-json\/wp\/v2\/media?parent=14421"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/1boringoldman.com\/index.php\/wp-json\/wp\/v2\/categories?post=14421"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/1boringoldman.com\/index.php\/wp-json\/wp\/v2\/tags?post=14421"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}