Expert Opinion on Drug Discovery ISSN: (Print) (Online) Journal homepage: www.tandfonline.com/journals/iedc20 New directions in psychiatric drug development: promising therapeutics in the pipeline Linda S. Brady, Sarah H. Lisanby & Joshua A. Gordon To cite this article: Linda S. Brady, Sarah H. Lisanby & Joshua A. Gordon (2023) New directions in psychiatric drug development: promising therapeutics in the pipeline, Expert Opinion on Drug Discovery, 18:8, 835-850, DOI: 10.1080/17460441.2023.2224555 To link to this article: https://doi.org/10.1080/17460441.2023.2224555 Published online: 23 Jun 2023. Submit your article to this journal Article views: 583 View related articles View Crossmark data Citing articles: 1 View citing articles Full Terms & Conditions of access and use can be found at https://www.tandfonline.com/action/journalInformation?journalCode=iedc20 EXPERT OPINION ON DRUG DISCOVERY 2023, VOL. 18, NO. 8, 835–850 https://doi.org/10.1080/17460441.2023.2224555 REVIEW New directions in psychiatric drug development: promising therapeutics in the pipeline Linda S. Bradya, Sarah H. Lisanbyb and Joshua A. Gordonc a Division of Neuroscience and Basic Behavioral Science, National Institute of Mental Health, Bethesda, MD, USA; bDivision of Translational Research, National Institute of Mental Health, Bethesda,MD, USA; cNational Institute of Mental Health, Bethesda, MD, USA ABSTRACT Introduction: Psychiatric disorders are a leading cause of disability worldwide, calling for an urgent need for new treatments, early detection, early intervention, and precision medicine. Drug discovery and development in psychiatry continues to expand in new and exciting areas, with several new medications approved for psychiatric indications by the U.S. Food and Drug Administration (FDA) in the last 5 years. Areas covered: In this review, the authors summarize recent new drug approvals and new molecular mechanisms in Phase 1–3 clinical development for psychiatric disorders. Advances in human geneticsdriven target identification, emergent technologies such as artificial intelligence-enabled drug discov­ ery, digital health technologies, and biomarker tools and strategies for testing novel mechanisms are highlighted. Expert opinion: There continues to be a need for research focused on understanding the natural history, developmental trajectory, and pathophysiology of psychiatric disorders to identify new mole­ cular and circuit-based targets. Looking to the future, a vision of precision psychiatry is emerging, taking advantage of advances in genetics, digital technology, and multimodal biomarkers to accelerate the development of next-generation therapies for individuals living with mental illnesses. 1. Introduction Psychiatric disorders continue to be among the leading causes of disability worldwide, calling for an urgent need for new treatments along with early detection, early intervention, and precision medicine [1]. The psychiatry drug development pipe­ line was last reviewed in 2019 [2]. This review surveys new molecular targets for compounds in the psychiatric drug development pipeline, new scientific developments in genet­ ics-driven target identification for drug discovery, and emer­ gent tools and technologies. Together, these advances offer promise to enable drug discovery and clinical testing of novel mechanisms that are anticipated to fill the preclinical drug discovery pipeline in the coming years. 2. New molecular targets (mechanisms of action) in development 2.1. Recent U.S. Food and Drug Administration drug approvals Drug discovery and development in psychiatry continues to expand into new and exciting areas. In the past 5 years, the U.S. Food and Drug Administration (FDA) approved 14 new medications for psychiatric disorder indications [3] (see Table 1). Of these, four are medications for depression: esketamine nasal spray (Spravato®), a next-generation rapid-acting adjunctive ARTICLE HISTORY Received 25 April 2023 Accepted 8 June 2023 KEYWORDS biomarkers; bipolar disorder; major depressive disorder; post-traumatic stress disorder; precision psychiatry; psychiatric genetics; public–private partnerships; schizophrenia; treatment-resistant depression medication for adults with treatment-resistant depression (TRD); intravenous brexanolone (Zulresso®), a first-in-class rapid-acting medication for postpartum depression (PPD); a fixed-dose combi­ nation of FDA approved drugs dextromethorphan plus bupropion (AuvelityTM) for the treatment of major depressive disorder (MDD); and cariprazine (Vraylar®), a second generation atypical antipsy­ chotic, as an adjunctive treatment for MDD. Five new medications are approved for schizophrenia (SCZ) or bipolar disorder – a novel mechanism and four new for­ mulations. Lumateperone (Calypta®) is a new treatment for adults with SCZ and is approved for a second indication, for treatment of depressive episodes associated with bipolar I or II disorder in adults either as a monotherapy or as an adjunctive therapy with lithium or valproate. Dexmedetomide sublingual film (Igalmi®) is a new orally dissolving formulation approved for acute agitation associated with SCZ or bipolar I or II disorder. Three new long-acting injectable (LAI) formulations utilize novel technologies to deliver risperidone as a biweekly intramuscular injection (Rykindo®) or aripiprazole (Abilify Asimtufii®) as a 2-month intramuscular injection to treat adults with SCZ and as an adjunctive in bipolar I disorder, and risperidone (UzedyTM) as a 1- or 2-month subcutaneous injection as a maintenance treatment of SCZ. Three are medications for attention deficit hyperactivity disorder (ADHD): a novel fixed-dose combination of central nervous system (CNS) stimulants serdexmethylphenidate plus CONTACT Linda S. Brady lbrady@mail.nih.gov Division of Neuroscience and Basic Behavioral Science, National Institute of Mental Health, NIMH, 6001 Executive Boulevard, Room 7204, Bethesda MSC 9645 This work was authored as part of the Contributor’s official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 USC 105, no copyright protection is available for such works under US Law. 836 L. S. BRADY ET AL. Article highlights Drug discovery and development in psychiatry continues to expand in new and exciting areas, with 15 new medications approved for psychiatric indications by the U.S. Food and Drug Administration (FDA) in the last 5 years. ● Six New Drug Applications have been submitted and are under review by the FDA for major depressive disorder, postpartum depres­ sion, schizophrenia, and post-traumatic stress disorder. ● The psychiatric drug development pipeline contains 118 potential new medicines with novel mechanisms in Phase 1–3 development by pharmaceutical companies, including 44 for depression, 29 for schi­ zophrenia, 23 for anxiety disorders, 9 for bipolar disorder, 6 for attention deficit hyperactivity disorder, and 7 for other neuropsychia­ tric disorder indications. ● Advances in human genetic association studies have identified hun­ dreds of genes and protein-coding variants involved in fundamental processes of neuronal synaptic biology, differentiation, and transmis­ sion which can be leveraged to discover new therapeutic targets. ● Emergent technologies, including artificial intelligence-enabled drug discovery, digital health technologies to enable testing of novel mechanism, and biomarker tools and strategies for disease pheno­ typing, stratification, and staging are enabling the discovery and development of novel mechanisms. ● A vision of precision psychiatry is emerging, engaging genetics, digital technology, and multimodal biomarkers to spur the develop­ ment of next-generation therapies for early intervention, maximal clinical benefit, and reduction of disease burden in individuals living with mental illnesses. ● has received Breakthrough Therapy designation for posttraumatic stress disorder (PTSD) with a planned NDA submis­ sion in October 2023 (see Table 2). 2.3. New mechanisms of action in the psychiatric drug development pipeline Since the 2019 commentary [2], there has been considerable progress in psychiatric drug development, with several new mechanisms moving through the drug development pipeline. The pipeline contains 118 potential new medicines with novel mechanisms in Phase 1–3 development by pharmaceutical companies as of 1 April 2023 based on a curated, advanced search of ClinicalTrials.gov specifying the following criteria: psychiatric disorders, interventional studies, recruiting, Phase 1, 2, and 3, and industry-sponsored trials [8]. Table 2 details active trials for psychiatric indications, with a few recently completed trials added for compounds that have not yet moved to the next stage of clinical development. Among this promising group of drug mechanisms are 44 for depres­ sion, 29 for SCZ, 23 for anxiety disorders, 8 for bipolar disorder, 6 for ADHD, and 7 for other neuropsychiatric disorder indica­ tions, including borderline personality disorder and ASD. 2.3.1. Depression dexmethylphenidate (Azstarys®); the non-stimulant, extended release viloxazine (Qelbree®) with low likelihood of abuse and dependency; and the stimulant, dextroamphetamine patch (XelstrymTM), a new transdermal formulation approved for use in adults and children at least 6 years of age. The urgent need for more effective treatments for mental illness triggered prioritization of several of these agents. The FDA granted Breakthrough Therapy designations [4] and Priority Review for brexanolone and for the fixed-dose combi­ nation of dextromethorphan plus bupropion, Fast Track des­ ignation [5] for lumateperone for the treatment of SCZ, and both Breakthrough Therapy and Fast Track designations and Priority Review for esketamine to expedite the development and review of these novel drugs [6,7]. Several other novel mechanisms have also received Breakthrough Therapy and Fast Track designations by the FDA, and the field can look forward to their further development (see Table 2). 2.2. Recent New Drug Applications Several promising new medications are in development at the New Drug Application (NDA) stage (see Table 1). In 2022–2023 to date, six NDAs were submitted to the FDA for psychiatric indications. A few highlights include: zuranolone, a novel neu­ rosteroid gamma-aminobutyric acid type A (GABAA) receptor positive allosteric modulator (PAM) for MDD and PPD which has been granted Priority Review by FDA; KarXT, a novel fixeddose combination of xanomeline plus trospium for treatment of positive and negative symptoms in SCZ with an NDA sub­ mission planned for mid 2023; and the psychedelic, 3,4-methy­ lenedioxymethamphetamine (MDMA)-assisted therapy which Many innovative potential medicines are in the development pipeline for depression, with 15 mechanisms in Phase 1 and 22 mechanisms in Phase 2 trials. Selected novel mechanisms in Phase 1 include: safety, tol­ erability, and pharmacokinetic studies of the GABAA receptor compounds SAGE−217 (zuranolone) in development for pediatric MDD and LYT−300, an oral formulation of allopreg­ nanolone; NMDA receptor modulators BI 1569912, GATE−202 (apistomel); GATE−251 (zelquistinel) which has received Fast Track designation; JNJ−42847922 (MIN−202, seltorexant), an orexin−2 receptor antagonist as an adjunctive treatment; and CVL−354, a kappa opioid receptor antagonist. New mechanisms in Phase 2 include: ALTO−100, a brainderived neurotrophic factor (BDNF) modulator; BI 1358894 and XEN1101, ion channel modulators; NBI−1065845, an α-amino-3 -hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) receptor potentiator; NBI−1064846, GPR139, an orphan G-protein coupled receptor (GPCR) agonist for anhedonia in MDD; and COMP360 (psilocybin) which has received Breakthrough Therapy designation by the FDA for TRD. Novel formulations of ketamine isomers (SLS−002, CLE −100, PCN−101) and NMDA receptor modulator MIJ821 are in development for MDD or TRD. And intranasal esketamine (Spravato®) is in a study to assess safety and efficacy in pediatric MDD with suicidal ideation. Also in Phase 2, several formulations of two classes of serotonergic compounds – the tryptamines, N,N- dimethyltryptamine (DMT) and 5-methoxyN,N-dimethyltryptamine (5-MeO-DMT), both 5-HT receptor agonists, and psilocybin and psilocin, 5-HT2A receptor ago­ nists, are in development as potential treatments for TRD. Five novel mechanisms are in Phase 3 development as adjunctive treatments in MDD. These include: JNJ−42847922 EXPERT OPINION ON DRUG DISCOVERY 837 Table 1. FDA new drug approvals and new drug application submissions for psychiatric disorders. FDA New Drug Approvals Mechanism of Action Indication esketamine (Spravato ) non-competitive NMDA receptor adjunctive treatment in TRD antagonist Company Date of Approval Janssen March 2019 Pharmaceuticals Inc. Priority Review BT and FT approvals brexanolone (Zulresso ) neurosteroid GABAA receptor PAM PPD Sage Therapeutics Inc. March 2019 Priority Review BT approval NME 1 lumateperone (Caplyta ) 5-HT2A & D2 receptor antagonist, SERT SCZ Intra-Cellular Therapies December 2019 inhibitor Inc. Standard Review FT approval NME serdexmethylphenidate plus DA & NE reuptake inhibitor ADHD Commave March 2021 dexmethylphenidate Therapeutics SA Standard (Azstarys ) Review NME viloxazine (Qelbree ) selective NE reuptake inhibitor ADHD Supernus April 2021 Pharmaceuticals Inc. Standard Review NME olanzapine plus D2 & 5-HT2 receptor antagonist plus a µ SCZ, BP Alkermes Inc. May 2021 samidorphan (Lybalvi ) opioid receptor antagonist Standard Review NME paliperidone palmitate D2 receptor & 5-HT2A receptor SCZ Janssen September 2021 6-month intramuscular antagonist Pharmaceuticals Inc. Standard Review LAI (Invega HafyeraTM) lumateperone (Caplyta ) 5-HT2 & D2 receptor antagonist, SERT depressive episodes associated with BP I or Intra-Cellular Therapies December 2021 inhibitor II disorder in adults, as monotherapy Inc. Standard and as adjunctive treatment Review dextroamphetamine CNS stimulant ADHD in adults and children Noven Therapeutics March 2022 TM (Xelstrym ) transdermal Standard patch Review dexmedetomide (Igalmi ) a2 adrenergic receptor agonist acute agitation associated with SCZ or BP BioXcel Therapeutics April 2022 sublingual film I or II disorder in adults Inc. Standard Review ® ® ® ® ® ® ® ® dextromethorphan hydrobromide plus bupropion hydrochloride (AuvelityTM) cariprazine (Vraylar ) Axsome Therapeutics Inc. August 2022 BT designation Priority Review D3/D2 & 5-HT1A receptor partial agonist, adjunctive treatment in MDD 5-HT2A & 5-HT2B receptor antagonist Abbvie Inc. risperidone ER (Rykindo ) 2-week intramuscular LAI ® D2 receptor & 5-HT2A receptor antagonist Luye Pharma Group risperidone ER (UzedyTM) D2 receptor & 5-HT2A receptor antagonist Teva Pharmaceuticals and MedinCell Industries Ltd. December 2022 Standard Review January 2023 Standard Review April 2023 Standard Review April 2023 Standard Review ® 1- or 2- month subcutaneous LAI aripiprazole (Abilify Asimtufii ) 2-month intramuscular LAI NMDA receptor antagonist, sigma 1 receptor agonist plus a DA & NE reuptake inhibitor, CYP2D6 inhibitor MDD in adults SCZ in adults, and as monotherapy or adjunctive therapy with lithium or valproate in BP I disorder SCZ in adults D2 partial receptor agonist SCZ in adults, and as maintenance monotherapy in BP I disorder in adults H. Lundbeck AS and Otsuka America Pharmaceutical, Inc. New Drug Application Mechanism of Action Indication Company uranolone (SAGE−217, BIIB125) FT and BK designation for MDD FT designation for PPD EXXUATM (gepirone hydrochloride ER) Risvan (risperidone ISM ) 1-month intramuscular LAI roluperidone (MIN−101) neuroactive steroid, GABAA receptor PAM MDD, PPD ® ® ® 2 5-HT1A receptor partial agonist & 5-HT2A MDD receptor antagonist D2 receptor & 5-HT2A receptor antagonist Date of Submission Sage Therapeutics Inc. December 2022 and Biogen Inc. Priority Review SCZ 5-HT2A antagonist, sigma−2 R antagonist SCZ, negative symptoms Fabre-Kramer Pharmaceuticals, Inc. Rovi Pharmaceuticals Laboratories January 2023 March 20233 Minerva Neurosciences May 2023 (FDA NDA acceptance) (Continued ) 838 L. S. BRADY ET AL. Table 1. (Continued). New Drug Application Mechanism of Action KarXT (xanomeline plus trospium) MDMA-assisted therapy M1/M4 mACh receptor agonist plus SCZ, psychosis a peripheral mACh receptor antagonist 5-HT, NE, DA triple reuptake inhibitor Indication PTSDa Company Karuna Pharmaceuticals Multidisciplinary Association for Psychedelic Studies (MAPS) Date of Submission planned mid 2023 planned October 2023 1 NME is defined by the FDA for the purposes of FDA review as an active moiety that FDA has not previously approved, either as a single ingredient drug or as part of a combination product. 2 Accepted by the FDA in February 2023 with priority review Prescription Drug User Fee Amendments (PDUFA) date of August 2023. 3 Rovi filed proposed corrections to FDA’s second Complete Response Letter and FDA has issued Rovi a new user fee goal date of July 2023. Abbreviations: 5-HT, serotonin, 5HT1A, 2A, 2B, serotonin receptor subtypes; ACh, acetylcholine; ADHD, attention-deficit hyperactivity disorder; α2; alpha2 adrenergic receptor subtype; BP, bipolar; BT, Breakthrough Therapy designation by the FDA; CYP2D6, cytochrome P450 2D6; D2, dopamine 2 receptor subtype; DA, dopamine; ER, extended release; FDA, U.S. Food and Drug Administration; FT, Fast Track designation by the FDA; GABAA, gamma-aminobutyric acid A; ISM, In Situ Microplants; LAI, long-acting injectable; M1/M4 mACh, muscarinic acetylcholine receptor subtypes; MDD, major depressive disorder; NDA, New Drug Application; NE, norepinephrine; NMDA, N-methyl-D-aspartate; NME, new molecular entity; PPD, postpartum depression; PAM, positive allosteric modulator; PTSD, post-traumatic stress disorder; SCZ, schizophrenia; SERT, serotonin transporter; TRD, treatment resistant depression. (seltorexant) for MDD with insomnia symptoms; aticaprant and BTRX−335140, kappa opioid receptor antagonists for MDD with symptoms of anhedonia; REL−1017 (esmethadone), an NMDA channel blocker that has received Fast Track Designation by the FDA; and SEP−363856 (ulotaront), a trace amine-associated receptor 1 (TAAR-1) and serotonin 5-HT1A receptor agonist that is under development for SCZ and MDD as an additional indication. Lumateperone (Calypta®) is under development for a new indication in MDD. For additional details on novel mechanisms in the drug development pipeline, see the recent review by Sakurai et al. on Phase 2/3 trials in depression [9] and GABAA PAM (GABAkines) in development [10]. 2.3.2. Schizophrenia For SCZ, novel mechanisms in Phase 1 trials include: LB−102 (N-methyl amisulpride), a D2/D3, and 5-HT7 receptor antago­ nist, and CVL−231 (emraclidine), a M4 muscarinic acetylcholine (mACh) receptor modulator in safety and tolerability studies in elderly participants. Two long-acting injectable formulations – iloperidone (Fanapt®) and LY03010 (paliperidone palmitate) are in Phase 1 development for acute psychosis requiring hospitalization. Seven drug candidates are in phase 2 development for SCZ. Novel mechanisms include: M4 mACh receptor modu­ lators – CVL−231 for psychosis and NBI−1117568 for acute relapse requiring hospitalization; MK−8189, a phosphodiesterase PDE10A inhibitor for an acute episode of SCZ; luvadaxistat, a D-amino acid oxidase (DAAO) inhibi­ tor [11], RL−007 a cholinergic, NMDA, and GABAB receptor modulator in development for cognitive impairment asso­ ciated with SCZ (CIAS). RG7906 (ralmitaront), a TAAR1 recep­ tor agonist for negative symptoms, was recently terminated. Thirteen novel drug candidates are in Phase 3 development for SCZ. Novel mechanisms as stand-alone treatments include: SEP−353856 (ulotaront), a first-in-class TAAR1 agonist with 5-HT1A receptor agonist activity [12] and KarXT (xanomeline plus trospium), a M1/M4 mACh receptor agonist plus a perip­ erally-restricted mACh receptor antagonist for positive and negative symptoms and CIAS [13–15]; and brilaroxazine, a dopamine-serotonin system stabilizer. And, new mechan­ isms in development as adjunctive treatments are: NaBen® (SND−13), a DAAO inhibitor for refractory SCZ; BI 425809 (iclepertin), a glycine transporter 1 inhibitor for CIAS [16]; and roluperidone (MIN−101) for negative symptoms. Also in phase 3, a new LAI formulation of olanzapine, TV−44749 (mcd-TJK), is under development using the same novel extendedrelease technology as in the NDA for risperidone ER (UzedyTM). Two FDA-approved treatments are in phase 3 extension studies for adolescents 13–17 years of age with SCZ: olanza­ pine plus samidorphan (Lybalvi®) a fixed-dose combination of a dopamine D2 receptor and 5-HT2 receptor antagonist plus a mu opioid receptor antagonist; and cariprazine (Vraylar®). Pimavanserin (NUPLAZID®), a 5-HT2A receptor antagonist/ inverse agonist, and valbenazine (Ingrezza®), a vesicular monoamine transporter VMAT2 inhibitor, are in Phase 3 devel­ opment for a new indication for the treatment of negative symptoms in SCZ. In addition, lumateperone (Calypta®) is in development for a new indication for prevention of relapse in SCZ. Of these new mechanisms, BI 425809 (iclepertin), SEP−363856 (ultotarant), and NaBen® have received Breakthrough Therapy designations by the FDA for SCZ. For additional details on novel mechanisms in the drug development pipeline, see the recent review by Correll et al. of Phase 2 and 3 trials in SCZ [17]. 2.3.3. Bipolar disorder In Phase 2 trials for bipolar disorder, JNJ−55308942, a novel purinergic ionotropic P2X7 receptor antagonist, is in develop­ ment for major depressive episodes in bipolar I or II disorder and LYN−005, an extended-release oral formulation of risper­ idone for weekly administration in bipolar I disorder and schizophrenia. In Phase 3 development is the novel mechanism: NRX−100/ NRX−101, intravenous ketamine (NRX−100) followed by a fixed-dose combination of D-cycloserine plus lurasidone (NRX−101, Cyclurad®) for rapid stabilization of acute suicidal ideation and behavior in bipolar depression, as well as NRX −101 alone for maintaining remission of symptoms of depres­ sion, clinical relapse, and suicidal ideation or behavior in EXPERT OPINION ON DRUG DISCOVERY 839 Table 2. Drugs in industry-sponsored Phase 1–3 clinical trials1. Category Mechanism of Action Depression SAGE−217 (zuranolone) GABAA receptor PAM Phase 1 LYT−300, GABAA receptor PAM allopregnanolone, oral formulation Phase 1 BI 1569912 NMDA NR2B receptor NAM Phase 1 Indication CT.gov Sage Therapeutics Inc. and Biogen Inc. PureTech Health NCT05655507 adjunctive treatment in MDD Boehringer Ingelheim in development for MDD; safety study in HVs in development for MDD; safety study in HVs Gate Neurosciences Inc. NCT04937829; NCT04958252; NCT04978506 NCT05597241 Gate Neurosciences, Inc. NCT04981561 NMDA receptor PAM MDD Gate Neurosciences, Inc. NCT03726658; NCT03586427 orexin−2 receptor antagonist adjunctive treatment in adolescent MDD Janssen Pharmaceutical Companies NCT04951609 κ opioid receptor antagonist in development for MDD; safety study in HVs in development for MDD; safety study in HVs MDD, single injection in combination with SSRIs Cerevel Therapeutics Holdings, Inc. Digestome Therapeutics NCT05138653 Small Pharma Ltd. NCT05553691 in development for MDD; safety Small Pharma Ltd. study in HVs; single injection in combination with SSRIs in development for TRD; safety Beckley Psytech study in HVs NCT05644093; NCT05553691 Usona Institute NCT05698095 5-HT2A receptor agonist under development for MDD; safety study in HVs MDD Cybin Inc. NCT05385783 5-HT2A receptor agonist MDD Eleusis Therapeutics NCT05434156 5-HT receptor agonist TRD, AUD Beckley Psytech NCT05660642 5-HT2A receptor agonist TRD, one prior treatment failure in COMPASS Pathways PLC current depressive episode Pharmaceutical Company MDD with suicidal ideation with Novartis Pharmaceuticals intent Corporation NCT05733546 Novartis Pharmaceuticals Corporation NCT05454410 BDNF modulator TRD, single injection in addition to standard of care antidepressant treatment MDD Alto Neuroscience undisclosed mechanism MDD Alto Neuroscience vasopressin 1b receptor antagonist MDD TRPC 4/5 channel inhibitor MDD Ancora Bio, Inc. d/b/a EmbarkNeuro, Inc. Boehringer Ingelheim NCT05712187; NCT05117632 NCT05118750; NCT05157945 NCT05439603 KCNQ2/3 potassium channel agonist MDD 5-HT/NE/DA triple uptake inhibitor MDD 5-HT/NE/DA triple uptake inhibitor TRD small molecule, undisclosed mechanism adjunctive treatment in TRD AMPA receptor potentiator adjunctive treatment in MDD GATE−202 (apimostinel) Phase 1 GATE−251 (zelquistinel) Phase 1 completed FT designation GATE−251, AGN−24175 (zelquistinel) Phase 1, 2 completed FT designation JNJ−42847922, MIN−202 (seltorexant) Phase 1 CVL−354 Phase 1 DGX−001 Phase 1 SPL026, N,Ndimethyltryptamine (DMT), iv Phase 1 SPL026, DMT, iv or im Phase 1 NMDA receptor partial agonist BPL−003, 5-MeO-DMT, intranasal formulation Phase 1 5-MeO-DMT, im injection Phase 1 CYB003, deuterated psilocybin analog Phase 1, 2 ELE−101, psilocin, iv formulation Phase 1, 2 BPL−003, 5-MeO-DMT, intranasal formulation Phase 2 COMP360 (psilocybin) Phase 2 5-HT receptor agonist MIJ821 (CAD9271), iv infusion Phase 2 MIJ821 (CAD9271), sc injection Phase 2 ALTO−100 Phase 2 ALTO−300 Phase 2 ANC−501 Phase 2 BI 1358894 Phase 2 XEN1101 Phase 2 centanafadine (EB−1020) Phase 2 DB104 (liafensine) Phase 2 MK−1942 Phase 2 NBI−1065845 (TAK−653) Phase 2 NMDA NR2B receptor NAM NMDA receptor PAM CNS stimulant, via the vagus nerve 5-HT receptor agonist 5-HT receptor agonist 5-HT receptor agonist NMDA NR2B receptor NAM pediatric MDD Company in development for anxiety, depression; safety study in HVs NCT05129865 NCT05121831 NCT05347849 NCT04722666 NCT04521478 Xenon Pharmaceuticals Inc. Otsuka Pharmaceutical Company Denovo Biopharma LLC NCT04827901; NCT05376150 NCT05536414 Merck Sharp & Dohme LLC Neurocrine Biosciences, Inc. NCT04663321 NCT05113771 NCT05203341 (Continued ) 840 L. S. BRADY ET AL. Table 2. (Continued). Category NBI−1065846 (TAK−041) Phase 2 NV−5138 (SPN820) Phase 2 Mechanism of Action GPR139 agonist Indication anhedonia in MDD CT.gov NCT05165394 MDD Company Neurocrine Biosciences, Inc. Navitor Pharmaceuticals Inc., Supernus Pharmaceuticals Inc. Tonix Pharmaceuticals Inc. mTORC1 protein stimulant adjunctive treatment in TRD TNX−601, tianeptine hemioxalate ER Phase 2 SLS−002, intranasal racemic ketamine Phase 2 Spravato , intranasal esketamine Phase 2 CLE−100, oral esketamine Phase 2 completed PCN−101 (R-ketamine intravenous infusion) Phase 2 completed BTRX−335140 (NMRA −335140) Phase 2 completed κ opioid receptor agonist non-competitive NMDA receptor antagonist MDD and suicidality Seelos Therapeutics, Inc. NCT04669665 non-competitive NMDA receptor antagonist MDD with suicidal ideation, pediatrics Janssen Pharmaceutical Companies NCT03185819 non-competitive NMDA receptor antagonist adjunctive treatment in MDD NCT04103892 NMDA receptor antagonist, noncompetitive NMDA receptor antagonist TRD Clexio Biosciences Ltd., Tikvah, Israel Perception Neuroscience κ opioid receptor antagonist MDD with symptoms of anhedonia and anxiety NCT04221230 SP−624 Phase 2 completed sirtuin activator MDD SEP−363856 (ulotaront) Phase 2, 3 JNJ−42847922, MIN−202 (seltorexant) Phase 3 lumateperone (Caplyta ) Phase 3 aticaprant Phase 3 aticaprant Phase 3 REL−1017 (esmethadone) Phase 3 FT designation COMP360 (psilocybin) Phase 3 BT designation Schizophrenia Risvan , risperidone ISM monthly im LAI observational iloperidone (VYV−6833201) Fanapt LAI Phase 1 LY03010, paliperidone palmitate, im monthly injection LAI Phase 1 LB−102 (N-methyl amisulpride) Phase 1 CVL−231 (emraclidine) Phase 1 SEP−363856 (ulotaront) Phase 1 TAAR1 receptor agonist, 5-HT1A receptor agonist orexin−2 receptor antagonist adjunctive treatment in MDD BlackThorn Therapeutics, Inc.; collaborator, Neumora Therapeutics, Inc. Arrivo Bioventures LLC and Sirtsei Pharmaceuticals, Inc. Sunovion Pharmaceuticals, Inc. Janssen Pharmaceutical Companies ® receptor antagonist, D2 receptor ® 5-HT2A antagonist, SERT inhibitor ® ® ® SP−624 Phase 1 completed MT1980 Phase 1 completed CVL−231 (emraclidine) Phase 2 NBI−1117568 (HTL0016878) Phase 2 MK−8189 Phase 2 adjunctive treatment in adults & elderly MDD with insomnia symptoms adjunctive in MDD NCT05066672 NCT05686408 NCT05414422 NCT04479852 NCT05593029 NCT04533529; NCT04513912 NCT04985942; NCT05061706 NCT05518149 NMDA channel blocker Intra-Cellular Therapies, Inc. adjunctive treatment in MDD, Janssen Pharmaceutical adults and elderly Companies adjunctive treatment in MDD with Janssen Pharmaceutical moderate to severe anhedonia Companies adjunctive treatment in MDD Relmada Therapeutics 5-HT2A receptor agonist TRD COMPASS Pathways PLC Pharmaceutical Company NCT05711940; NCT05624268 D2 receptor & 5-HT2A receptor antagonist SCZ, acute relapse requiring hospitalization Rovi Pharmaceuticals Laboratories NCT05480046 D2 receptor & 5-HT2A receptor antagonist SCZ Vanda Pharmaceuticals, Inc. NCT04712734 D2 receptor & 5-HT2A receptor antagonist SCZ, schizoaffective disorder Luye Pharma NCT05321602 D2/D3 receptor and 5-HT7 receptor antagonist SCZ LB Pharmaceuticals, Inc NCT04187560 M4 mACh receptor modulator SCZ, elderly patients NCT05644977 TAAR1 receptor agonist, 5-HT1A receptor agonist SCZ, gastric emptying, glucose regulation, body weight Cerevel Therapeutics Holdings, Inc. Sunovion Pharmaceuticals, Inc. sirtuin stimulant SCZ novel formulation of an on-market antiinflammatory compound M4 mACh receptor modulator neuroinflammatory response in brain SCZ/psychosis M4 mACh receptor agonist SCZ, acute relapse requiring hospitalization PDE10A inhibitor SCZ, acute episode κ opioid receptor antagonist κ opioid receptor antagonist Arrivo Bioventures/Sirtsei Pharmaceuticals Monument Therapeutics Limited Cerevel Therapeutics Holdings, Inc. Neurocrine Biosciences, Inc. Merck Sharp & Dohme LLC NCT05455684; NCT05550532 NCT04855760; NCT04855747 NCT05402111; NCT05463770; NCT05542264; NCT04510298 NCT05429840 NCT05227703; NCT05227690 NCT05545111 NCT04624243 (Continued ) EXPERT OPINION ON DRUG DISCOVERY 841 Table 2. (Continued). Category luvadaxistat (NBI −1065844, TAK−831) Phase 2 RL−007 Phase 2 RG7906 (ralmitaront), RO6889450 Phase 2 terminated AVP−786, deudextromethorphan analog plus quinidine Phase 2 completed evenamide Phase 2 completed SEP−363856 (ulotaront) Phase 3 BT designation KarXT (xanomeline plus trospium) Phase 3 brilaroxazine (RP5063) Phase 3 ® NaBen (SND−13) Phase 2, 3 BT designation BI 425809 (iclepertin) Phase 3 BT designation KarXT (xanomeline plus trospium) Phase 3 pimavanserin (NUPLAZID ) Phase 3 roluperidone (MIN−101) Phase 3 Valbenazine (Ingrezza ) Phase 3 olanzapine ER TV−44749 (mdc-TJK) 2-month subcutaneous LAI Phase 3 olanzapine plus samidorphan (Lybalvi ) Phase 3 cariprazine (Vraylar ) Phase 3 lumateperone (Caplyta ) Phase 3 Bipolar Disorder JNJ−55308942 Phase 2 LYN−005, risperidone ER, once weekly oral formulation Phase 2 completed lumateperone (Caplyta ) Phase 3 SEP−4199 CR, nonracemic amisulpride Phase 3 iloperidone (VYV−6833201) Fanapt Phase 3 ® ® ® ® ® Mechanism of Action DAAO inhibitor CIAS Company Neurocrine Biosciences, Inc. CT.gov NCT05182476 cholinergic, NMDA, & GABAB receptor modulator TAAR1 receptor agonist CIAS Recognify Life Sciences NCT05686239 SCZ and schizoaffective disorder/ negative symptoms Hoffmann-La Roche, Inc. NCT03669640 NMDA receptor antagonist plus a CYP2D6 inhibitor SCZ Avanir Pharmaceuticals Inc. NCT02477670 voltage-gated sodium channel blocker SCZ Newron Pharmaceuticals NCT04461119 TAAR1 receptor agonist, 5-HT1A receptor agonist SCZ Sunovion Pharmaceuticals, Inc. M1/M4 mACh receptor agonist plus a peripherally-restricted mACh receptor antagonist SCZ, psychosis Karuna Therapeutics, Inc. NCT04072354; NCT04109950; NCT05628103; NCT04820309; NCT05643170 DA−5-HT system stabilizer; SCZ Reviva Pharmaceuticals D2, D3, D4 receptor partial agonist/5-HT1A, Holdings, Inc. 5-HT2A receptor agonist/5-HT6, 5-HT7, 5-HT2A, 5-HT2B receptor antagonist DAAO inhibitor adjunctive treatment in refractory SyneuRx International SCZ, adolescent/adult NCT05184335 NCT02261519; NCT03094429; NCT01908192 NCT04846868; NCT04846881; NCT04860830; NCT05211947 NCT05145413; NCT05304767 glyT1 inhibitor SCZ, cognition & functional capacity Boehringer Ingelheim M1/M4 mACh receptor agonist plus a peripherally-restricted muscarinic antagonist adjunctive treatment in SCZ Karuna Therapeutics, Inc. 5-HT2A receptor antagonist/inverse agonist, less so at 5-HT2C receptor adjunctive treatment in SCZ, negative symptoms Acadia Pharmaceuticals NCT04531982; NCT03121586 Minerva Neurosciences NCT03397134 NCT05110157; NCT05654870 NCT05693935 5-HT2A receptor antagonist, sigma−2 receptor SCZ, negative symptoms antagonist VMAT2 inhibitor SCZ add-on treatment D2 & 5-HT2 receptor antagonist SCZ Neurocrine Biosciences, Inc. Teva Pharmaceuticals and MedinCell Industries Ltd. D2 and 5-HT2 receptor antagonist plus µ opioid receptor antagonist pediatric SCZ Alkermes Plc NCT05303064 D3/D2 & 5-HT1A receptor partial agonist, 5-HT2A & 5-HT2B receptor antagonist 5-HT2A receptor antagonist, D2 receptor antagonist, SERT inhibitor pediatric SCZ AbbVie Inc. NCT03817502 SCZ, prevention of relapse Intra-Cellular Therapies, Inc. NCT04959032 purinergic P2X7 receptor antagonist, an ATPgated cation channel D2 receptor & 5-HT2A receptor antagonist BP I or II disorder, major depressive episodes BP I disorder, SCZ Janssen Pharmaceutical Companies Lyndra Therapeutics Inc. NCT05328297 BP I or II disorder, major depressive episodes BP I disorder, major depressive episode Intra-Cellular Therapies, Inc. Sunovion Pharmaceuticals, Inc. NCT04285515 BP, acute manic or mixed episodes Vanda Pharmaceuticals, Inc. receptor antagonist, D2 receptor ® 5-HT2A antagonist, SERT inhibitor ® Indication 5-HT receptor modulator; 5-HT7 receptor antagonist, less potent D2 receptor antagonist D2 receptor & 5-HT2A receptor antagonist NCT04567524 NCT05227209; NCT05169710 NCT04819776 (Continued ) 842 L. S. BRADY ET AL. Table 2. (Continued). Category NRX−100/NRX−101, iv ketamine followed by D-cycloserine plus lurasidone (Cyclurad ) Phase 3 BT designation NRX−101, D-cycloserine plus lurasidone (Cyclurad ) Phase 3 BT designation planning2 olanzapine plus samidorphan (Lybalvi ) Phase 3 cariprazine (Vraylar ) Phase 3 ® ® ® ® Anxiety Disorders CVL−865 (darigabat) Phase 1 Mechanism of Action NMDA receptor antagonist followed by an NMDA receptor antagonist plus a 5-HT2A receptor antagonist Indication severe BP, ASIB Company NRx Pharmaceuticals, Inc. CT.gov NCT03396601; NCT03396068 NMDA receptor antagonist plus a 5-HT2A receptor antagonist severe BP depression with ASIB, maintenance of remission NRx Pharmaceuticals, Inc. NCT03396601; NCT03396068 D2 receptor & 5-HT2 receptor antagonist plus pediatric BP or SCZ a µ opioid receptor antagonist Alkermes Plc. NCT04987229 D3/D2 receptor & 5-HT1A receptor partial agonist, 5-HT2A & 5-HT2B receptor antagonist pediatric BP I disorder with depression AbbVie Inc. NCT04777357 GABA-A PAM, α2/3/5 receptor subtypes in development for panic Cerevel Therapeutics disorder; CO2 inhalation model Holdings, Inc. in HVs PTSD Lundbeck NCT04592536 CB1 receptor NAM acute anxiety in social anxiety disorder Receptor Life Sciences, Inc. NCT05429788 TRPC 4/5 channel inhibitor PTSD Boehringer Ingelheim NCT05103657 FAAH inhibitor PTSD Jazz Pharmaceuticals, Inc. NCT05178316 α7 nACh receptor PAM PTSD Bionomics Ltd. NCT04951076 NCT05312151 Lu AG06466 Phase 1 RLS103, CBD inhaled dry powder Phase 1 BI 1358894 Phase 2 JZP150 Phase 2 FT designation BNC210 Phase 2 completed FT designation psilocybin Phase 2 MAGL inhibitor NCT04597450 5-HT2A receptor agonist PTSD RG7314 (balovaptan) Phase 2 ALTO−100 Phase 2 completed TNX−102 SL, cyclobenzaprine sublingual formulation Phase 2 CBD, Nantheia ATL5 liquid structure formulation Phase 2 MM−120, LSD D-tartrate Phase 2 FT designation PH94B nasal spray Phase 2 FT designation INP105, POD-OLZ (olanzapine nasal spray) Phase 2 synthetic CBD Phase 2 VQW−765 Phase 2 BNC210 Phase 2 completed HB−01 Phase 2 completed NYX−783 Phase 2, 3 FT designation SEP−363856 Phase 2, 3 vasopressin 1 receptor antagonist PTSD COMPASS Pathways PLC Pharmaceutical Company Hoffman-La Roche Inc. BDNF modulator PTSD and/or MDD Alto Neuroscience NCT05117632 a centrally-acting muscle relaxant PTSD Tonix Pharmaceuticals Inc. NCT05372887 CB1 receptor NAM PTSD ANANDA Scientific NCT05269459 5-HT2A receptor agonist GAD Mind Medicine Inc. NCT05407064 chemoreceptor cell modulator social anxiety disorder VistaGen Therapeutics, Inc. NCT04404192 D2 & 5-HT2 receptor antagonist ASD, acute treatment of agitation Impel Pharmaceuticals, Inc. NCT05163717 CB1 receptor NAM social anxiety disorder EmpowerPharm Inc. NCT05600114 α7 nACh receptor agonist performance anxiety NCT04800237 α7 nACh receptor NAM social anxiety disorder Vanda Pharmaceuticals, Inc. Bionomics Ltd. undisclosed mechanism panic disorder Honeybrains Biotech LLC NCT05071430 NMDA receptor PAM PTSD Aptynix Inc. NCT05181995 TAAR1 receptor agonist, 5-HT1A receptor agonist GAD Sunovion Pharmaceuticals, Inc. NCT05729373 NCT05401565 NCT05193409 (Continued ) EXPERT OPINION ON DRUG DISCOVERY 843 Table 2. (Continued). Category cariprazine (Vraylar ) Phase 3 BHV−4157 (troriluzole) Phase 3 MDMA-assisted therapy (MDMA-AT) Phase 3 BT designation ADHD centanafadine (EB−1020) Phase 1 ADAIR (dextroamphetamine) Phase 1 completed CX−717 Phase 2 MM−120, LSD D-tartrate Phase 2 solriamfetol Phase 2, 3 centanafadine (EB−1020) Phase 3 centanafadine (EB−1020) Phase 3 CTx−1301, dexmethylphenidate controlled release formulation Phase 3 Other Psychiatric Indications AVP−786, deudextromethorphan analog plus quinidine Phase 2 L1–79 Phase 2 COMP360 (psilocybin) Phase 2 Mechanism of Action D3/D2 & 5-HT1A receptor partial agonist, 5-HT2A & 5-HT2B receptor antagonist glutamate modulator Indication irritability in pediatric ASD Company Abbvie Inc. CT.gov NCT05439616 adjunctive treatment in OCD 5-HT, NE, DA triple reuptake inhibitor PTSD Biohaven Pharmaceutical Holding Company Ltd. Multidisciplinary Association for Psychedelic Studies (MAPS) NCT04693351; NCT04708834 NCT03537014 5-HT, NE, DA triple reuptake inhibitor ADHD pediatric safety study NCT04786730 NE & DA reuptake inhibitor ADHD Otsuka Pharmaceutical Company Vallon Pharmaceuticals, Inc. AMPA receptor modulator pediatric ADHD NCT05286762 5-HT2A receptor agonist ADHD RespireRx Pharmaceuticals Inc. Mind Medicine Inc. NE & DA reuptake inhibitor ADHD Axsome Therapeutics, Inc. NCT04839562 5-HT, NE, DA triple reuptake inhibitor ADHD, adolescents 5-HT, NE, DA triple reuptake inhibitor ADHD, children NCT05257265; NCT05279313 NCT05428033 DA & NE reuptake inhibitor ADHD Otsuka Pharmaceutical Company Otsuka Pharmaceutical Company Cingulate Therapeutics NMDA receptor antagonist plus a CYP2D6 inhibitor TBI/neurobehavioral inhibition Avanir Pharmaceuticals Inc. NCT03095066 tyrosine hydroxylase inhibitor ASD NCT05067582 5-HT2A receptor agonist anorexia nervosa TRYP−0082 (psilocybin) Phase 2 lumateperone (Caplyta ) Phase 2 BI 1358894 Phase 2 completed SXC−2023, SLC7A11 protein stimulant Phase 2 completed 5-HT2A receptor agonist binge eating disorder Yamo Pharmaceuticals LLC COMPASS Pathways PLC Pharmaceutical Company TRYP Therapeutics Inc. Intra-Cellular Therapies, Inc. Boehringer Ingelheim NCT05356013 Promentis Pharmaceuticals, Inc. NCT03797521 ® receptor antagonist, D2 receptor ® 5-HT2A antagonist, SERT inhibitor borderline personality disorder TRPC 4/5 inhibitor borderline personality disorder cystine/glutamate antiporter activator trichotillomania in adults NCT04647903 NCT05200936 NCT05631626 NCT05481736 NCT05035927 NCT04566601 1 The data in Table 1 were assembled from a search of Phase 1–3 trials listed as active and recruiting for psychiatric indications in ClinicalTrials.gov as of April 1, 2023. At a February 13, 2023 meeting, the FDA encouraged NRx to request a BT Planning meeting for NRX−101 to consider enlarging the clinical development program to allow for chronic treatment of patients with bipolar depression and intermittent suicidality. Abbreviations: 5-HT, serotonin; 5-HT1A, 1B, 2A, 2B, 6, 7, serotonin receptor subtypes; ACh, acetylcholine; ADHD, attention-deficit hyperactivity disorder; α2, alpha2 adrenergic receptor subtype; α7 nACh, alpha7 nicotinic acetylcholine receptor subtype; AMPA, α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid; AUD, alcohol use disorder; ASIB, acute suicidal ideation and behavior; BDNF, brain-derived neurotrophic factor; BP, bipolar; BT, Breakthrough Therapy designation by the FDA; CB1, cannabinoid 1 receptor subtype; CB1, cannabinoid receptor subtype; CBD, cannabidiol; CIAS, cognitive impairment associated with schizophrenia; CYP2D6, cytochrome P450 2D6; DMT, N,N-dimethyltryptamine; D2, dopamine 2 receptor subtype; DA, dopamine; DAAO, D-amino acid oxidase; FAAH, fatty acid amide hydrolase; FDA, U.S. Food and Drug Administration; FT, Fast Track designation by the FDA; GABAA, gamma-aminobutyric acid A; GABAA, gammaaminobutyric acid type A; GPCR, G-protein coupled receptor; glyT1, glycine transporter 1; HVs, healthy volunteers; 5-HT, 5-hydroxytryptamine (serotonin); KCNQ2/ 3, voltage-gated M-type potassium channel subtypes; ISM, in situ microparticles; im, intramuscular, iv, intravenous; LAI, long-acting injectable; LSD, lysergic acid diethylamide; M1/M4 mACh, muscarinic acetylcholine receptor subtypes; MAGL, monoacylglycerol lipase; MDD, major depressive disorder; MDMA, 3,4-methyle­ nedioxymethamphetamine; 5-MeO-DMT, 5-methoxy-N,N-dimethyltryptamine; mTORC1, mammalian target of rapamycin complex 1; NAM, negative allosteric modulator; NE, norepinephrine; NMDA, N-methyl-D-aspartate; NR2B, subunit of the NMDA receptor; OCD, obsessive-compulsive disorder; P2X7, purinergic receptor antagonist; PPD, postpartum depression; PAM, positive allosteric modulator; PDE, phosphodiesterase; PTSD, post-traumatic stress disorder; sc, subcutaneous; SCZ, schizophrenia; SERT, serotonin transporter; SLC7A11, solute carrier family 7 member 11; SSRI, selective serotonin reuptake inhibitor; TAAR1, trace amine-associated receptor 1; TRD, treatment resistant depression; TRPC 4/5, transient receptor potential channel 4/5 subtypes; VMAT2, vesicular monoamine transporter 2 2 bipolar depression. The NRX−100/NRX−101 combination has received Breakthrough Therapy and Fast Track designations by the FDA for treatment of severe bipolar disorder and acute suicidality and behavior. And at a recent FDA meeting, the FDA encouraged a BT Planning Meeting for NRX−101 to consider enlarging the clinical development program to allow for chronic treatment of patients with bipolar depression and intermittent suicidality [18]. In addition, amisulpride (SEP−4199 CR), a 5-HT receptor modulator, is in Phase 3 trials for major depressive episodes 844 L. S. BRADY ET AL. in bipolar disorder and iloperidone (Fanapt®) is in develop­ ment as a LAI formulation for acute manic or mixed episodes. Lumateperone (Caplyta®) is in development as a new indica­ tion for major depressive episodes in bipolar disorder and olan­ zapine plus samidorphan (Lybalvi®) and cariprazine (Vraylar®) are in extension studies for adolescents 10–17 years of age. 2.3.4. Anxiety disorders For anxiety disorders, selected novel mechanism in Phase 1–3 development for PTSD are highlighted. Lu AG06466, a novel monoacylglycerol lipase (MAGL) inhibitor, is in Phase 1 trials. Eight mechanisms are in Phase 2 development. Among these: JZP150, a fatty acid amide hydrolase (FAAH) inhibitor and BNC210, an /7 nACh receptor NAM, both of which have received Fast Track designations from FDA; BI 1358894, an ion channel inhibitor that is also in development for depres­ sion; and psilocybin, a 5-HT2A receptor agonist. Two novel formulations are in Phase 2 development: TNX−102 SL, a sublingual formulation of cyclobenzaprine; and NantheiaTM ATL5, an oral formulation of cannabidiol. And in Phase 3 development, MDMA-assisted therapy, which has received Breakthrough Therapy designation. 2.3.5. ADHD and other neuropsychiatric disorders Five mechanisms are in development for ADHD. In Phase 1 trials: a pediatric safety study of centanafadine (EB−1020), a new 5-HT-norepinephrine (NE)-DA triple reuptake inhibitor; and ADAIR (dextroamphetamine), an NE and DA reuptake inhibitor. Three drug candidates are in Phase 2 testing: CX −717, an AMPA receptor modulator; MM−120, LSD D-tartrate, which is also in development for generalized anxiety disorder; and solriamfetol, a NE and DA reuptake inhibitor. And in Phase 3 trials: centanafadine safety and efficacy in children and adults; and CTx−1301, a controlled release formulation of dexmethylphenidate. Six mechanisms are in Phase 2 develop­ ment for other psychiatric disorders (see Table 2). With the diversity of novel mechanisms entering Phase 1–3 testing, there are many opportunities for transformative treat­ ments in the near future. For additional mechanisms in devel­ opment beyond the list sourced from www.clinicaltrials.gov in this commentary, see the 2023 report from the Pharmaceutical Research and Manufacturers of America (PhRMA) [19]. 3. New scientific developments 3.1. Genetics-driven target identification for drug discovery Retrospective analyses of drugs in clinical development have shown that drug mechanisms with supporting human genetic data for their intended indication are more than twice as likely to be approved as drugs that lacked such validation [20–22]. Accordingly, psychiatric genetics research holds promise for identifying novel targets for accelerating drug discovery. In the last decade, genomewide association studies (GWAS) in large-scale populationbased cohorts, driven by large international collaborations such as the Psychiatric Genomics [23], the CommonMind [24], and the Schizophrenia Exome Sequencing Meta- Analysis (SCHEMA) [25] Consortia, have provided a rich resource of human genetic evidence to support target selection for psychiatric drug discovery. Recent GWAS in SCZ [26], BP disorder [27], and MDD [28] have identified hundreds of genes and protein-coding variants which are involved in fundamental processes of synaptic biology, including synaptic organization, differentiation, and trans­ mission resulting in an increased understanding of the role of gene function and regulation in psychiatric disorders which can be leveraged to discover new therapeutic targets [29, 30]. To date, however, these findings have not yet been translated into drugs or even drug targets. The vast number of genetic associations, each of which confers a small amount of risk, have made it challenging to map these risk loci onto specific genes and pathways. Two important gaps remain if these challenges are to be overcome. The first relates to the lack of diversity in genetic samples. Nearly all large-scale human genetics studies have been based on cohorts that are chiefly composed of indivi­ duals of European ancestry. Such studies have limited general­ izability of the findings to non-European populations. To address this gap, the National Institute of Mental Health (NIMH) established the Ancestral Populations Network to accelerate gene discovery and brain mapping for psychiatric disorders in cohorts of non-European ancestry to improve the mapping of genetic risk, enhance the equitable application of genetic knowledge, and insure mental health equity for min­ oritized and underserved populations in the U.S. and to increase population diversity [31]. A consortium consisting of seven funded projects is focused on diversifying gene discov­ ery in cohorts across more than 25 U.S. and international sites in North and South America, Africa, and Asia. A second key step to move from gene variants that confer risk for psychiatric disorders to therapeutic targets is understanding where, when, and how the genes may impact brain function to lead to pathophysiology. NIMH has established the Scalable and Systematic Neurobiology of Psychiatric and Neurodevelopmental Disorder Risk Genes (SSPsyGene) Consortium [32] comprised of four Assay and Data Generation Centers and a Data Resource Center. The SSPsyGene Consortium plans to characterize the function of 100–150 high-confidence risk genes in neurodevelopmental and neuropsychiatric disor­ ders in an array of molecular, cellular, and systems-level func­ tional assays, including induced pluripotent stem cells (iPSCs) [33], organoids [34], and model organisms, to identify key pro­ teins/hubs, molecular mechanisms, and pathways disrupted by mental illness risk genes [35]. The data resulting from this con­ sortia effort aims to provide a comprehensive understanding of the biological pathways and processes disrupted by mental ill­ ness risk genes and lay the foundation for delivering a set of novel validated targets to feed into the drug discovery pipeline for psychiatric disorders. 3.2. Consortia efforts and resources to advance genomics and proteomics targets Examples of human brain cell atlas efforts that support target validation include: the National Institutes of Health (NIH) Brain Research Through Advancing Innovative Neurotechnologies® EXPERT OPINION ON DRUG DISCOVERY (BRAIN) Initiative [36] and the PsychENCODE Consortium. The BRAIN Initiative® is using cutting-edge imaging and single-cell analysis methods to generate detailed multi-omic data refer­ ence maps from postmortem brains of neurotypical subjects. These data will detail the full panoply of brain cell types and spatial locations as a framework for the study of brain dis­ orders. The data will be available from adult and prenatal human brain, as well as mouse and non-human primate brains, and shared through a searchable web portal [37]. The PsycheENCODE Consortium [38] is cataloging gene expression networks and genomic regulatory elements in postmortem brains from individuals with a variety of psychiatric disorders [39]. Comparing the pathological and control conditions and comparing the genetic and gene expression characteristics of specific disorders has the potential to further the understand­ ing of how genetic risk maps onto brain function and dysfunction. 4. Emergent tools and technologies to enable drug discovery and clinical testing of novel mechanisms 4.1. Artificial intelligence-enabled drug discovery Artificial intelligence (AI) is a promising approach for advan­ cing the small-molecule drug discovery and development pipeline through the integration of machine learning algo­ rithms to identify potential drug candidates, to predict their effectiveness and safety, and to optimize their design. AI and machine learning (ML) approaches have increasingly been applied for computer-aided drug design (CADD) at all stages of drug discovery from target identification and validation, prediction of molecular structure and function, and compound screening and optimization [40]. A recent analysis of the pipe­ line composition of 24 AI drug discovery companies indicated that many of the disclosed AI discovery programs are focused in CNS therapeutic areas, with more than 60% of the targets focused on GPCRs and kinases [41]. One of the greatest hopes for AI-enabled drug discovery is an acceleration of drug dis­ covery timelines including more rapid target identification and validation and more rapid cycles of molecule design and optimization. In CNS, a few AI-derived small molecules target­ ing serotonin receptors have been reported to have entered into Phase 1 testing within less than 12 months from initial screening to the end of preclinical testing based on the cen­ taur chemist AI powered platform, below the global industry average of 4–6 years. One of these – DSP−0038, a high potency antagonist for the 5-HT2A receptor and agonist for the 5-HT1A receptor – is currently in Phase 1 testing for improved antipsychotic effects against psychosis associated with Alzheimer’s disease, as well as improvements in beha­ vioral and psychological symptoms of dementia including agitation, aggression, anxiety, and depression [42]. For a recent review of AI in drug discovery, see [43]. 845 promise for accelerating innovation, reducing clinical trial duration, and minimizing risk in medicines development. DHTs use computing platforms, connectivity, software, and sensors for healthcare applications. A digital biomarker builds on the definition of a biomarker as defined in the Biomarkers, EndpointS, and other Tools (BEST) glossary developed by the FDA and National Institutes of Health (NIH) NIH Biomarker Working Group [44], and is defined as a ‘characteristic or set of characteristics, collected from digital health technologies, that is measured as an indicator of normal biological processes, pathogenic processes, or responses to an exposure or intervention, including thera­ peutic interventions’ [45]. In the definition, the use of ‘char­ acteristic or set of characteristics’ stems from the ability to derive one or more biomarkers from one or more DHTs simultaneously. Examples of DHTs that are increasingly being integrated into both clinical research and clinical trials in psychiatry include wearable devices that collect daily actigraphy, sleep, geolocation data, smartphone applications that collect momentary assessments via surveys [46], and smartphone applications that collect speech frequency and duration to extract health-relevant biosignals [47]. These technologies are of interest because they provide high-frequency patientgenerated assessments that are noninvasive and scalable and have the potential to be used as novel or adjunctive endpoints to traditional clinician-rated endpoints in clinical trials. Examples of recent studies using DHTs include the Remote Assessment of Disease and Relapse-Major Depressive Disorder (RADAR-MDD) study of symptom change and relapse in MDD [48], the RADMIS trial to inves­ tigate the effect of smartphone-based monitoring on the rate and duration of readmissions in unipolar and bipolar disorder [49, 50] and automated speech and language ana­ lysis to characterize mental health status and social skills and functional competency in SCZ and bipolar disorder [51]. A recent review highlights the use of digital phenotyping to aid in the diagnosis of major depressive episodes across MDD, bipolar disorder, and its presentation in the presence of psychological trauma or PTSD [52]. Several recent Foundation for the National Institutes of Health (FNIH)-convened workshops have presented case stu­ dies and discussed opportunities and challenges around the use of digital measures in clinical trials with case studies in psychiatric disorders [53]. The FDA has recently released a draft guidance for the use of DHTs – systems that make use of computing platforms together with sensors and/or soft­ ware that are connected to the platform and used for healthrelated purposes – to aid in remote clinical data acquisition [54], and in March 2023, it released a framework to guide the use of DHTs in drug development and medical product devel­ opment [55]. 4.2. Digital health technology tools to enable testing of novel mechanisms 4.3. Biomarker tools and strategies for disease phenotyping, stratification, and staging Digital health technology (DHT) tools are an emerging suite of technologies and smartphone-based applications with Biomarkers have the potential to greatly enhance the testing of novel drug candidates by providing quantitative measures 846 L. S. BRADY ET AL. of disease presence and status, measures of response to treat­ ment, and patient selection and stratification in clinical trials [56]. The discovery, validation, qualification, and use of bio­ markers, and their adaptation to a variety of drug develop­ ment and regulatory decision-making purposes are all areas of tremendous interest and need [57, 58]. While individual bio­ markers such as positron emission tomography (PET) imaging have had an impact in understanding the pharmacokinetic principles of exposure at the site of action, target binding, and expression of functional pharmacologic activity in earlystage trials [59], the ability of individual biomarkers to reflect disease susceptibility or guide therapeutic decision-making in psychiatric disorders remains an unmet need. Multimodal (multicomponent) biomarkers may be a better strategy to capture the complexity of psychiatric disorders, which are heterogeneous and diagnosed on the basis of clinician-rated symptoms and behavior and offer the potential for improving diagnosis and identifying individuals in presymptomatic stages of the illness, in addition to predicting, monitoring, and guiding treatment development. For more information on multimodal biomarkers, see the National Academies’ workshop on Multimodal Biomarkers for CNS Disorders: Development, Integration, and Clinical Utility [60] and the FDA workshop on the Identification of Concepts and Terminology for Multi-Component Biomarkers [61]. Consortia are playing an important role in developing standardized instrumentation, data collection methods, and data processing and analysis pipelines for translational bio­ markers (imaging, neurophysiological, and other measures) to enable the collection of high-quality data that is reliable and scalable for broader use in drug discovery and development [62]. The industry-led Event Related Potential (ERP) Biomarker Qualification Consortium is an example of a pre-competitive effort among industry, academia, and regulators to ensure that robust and reliable ERP and quantitative electroencepha­ lography (qEEG) biomarkers can be effectively collected in target clinical populations, such as patients with schizophre­ nia, thus ensuring scalability and consistency across studies [63]. The first study from the ERP Consortium established test– retest reliability for ERP qEEG measures, a validated, auto­ mated data analysis pipeline, and normative ERP/qEEG data­ sets in schizophrenia subjects and matched healthy volunteers [64]. The Accelerating Medicines Partnership® in Schizophrenia (AMP® SCZ) is an example of a public-private consortia effort aiming to validate a multimodal biomarker and clinical assess­ ment strategy to better define and predict the trajectory of individuals at clinical high risk for psychosis (CHR) to enable a path for testing novel pharmacologic treatments for early intervention in schizophrenia [65, 66]. Biomarkers include neu­ roimaging, event-related electrophysiological measures, a computerized cognitive battery, genetic and fluid biomarkers, daily digital assessments (actigraphy, sleep, geolocation, and smartphone surveys), speech, and clinical measures including attenuated positive symptoms and core symptom domains. Feature extraction across modalities will be used to integrate biomarker data and develop algorithms that predict the trajec­ tories and clinical endpoints for conversion to first episode psy­ chosis, remission of the CHR, and non-conversion/non-remission characterized by cognitive and functional impairment. The suc­ cess of consortia efforts such as these may provide a set of translational biomarkers that can be used as standardized drug development tools in clinical trials to quantify pharmacodynamic effects of novel mechanisms. And some of these tools may also have potential uses as objective biomarker-based endpoints to assess potential clinical benefit in early-stage trials to enable decision-making about further clinical development. 5. Expert opinion The progress and promise detailed above represent a partial rejuvenation of interest in psychopharmacology by academia and the pharmaceutical industry alike, fueled in part by advances in genetics, technology, and computation as noted. There continues to be a need for research focused on under­ standing the natural history, developmental trajectory, and pathophysiology of psychiatric disorders to identify new mole­ cular and circuit-based targets for early intervention, maximal clinical benefit, and reduction of disease burden in individuals living with mental illnesses. In considering the future of pro­ gress, a vision of precision psychiatry emerges, engaging genetics, digital technology, and multimodal biomarkers har­ nessing next-generation therapies. 5.1. Leveraging genetics for next-generation therapies The tremendous progress in psychiatric genetics is inspiring novel mechanistic approaches toward identifying targets for treatment (and even early intervention and prevention) for psychiatric disorders like schizophrenia. Some of this progress is fueled by resources and technologies developed through the BRAIN Initiative that sit at the intersection of engineering and neuroscience. But the prospects of neuroengineering are not limited to fostering the development of novel small mole­ cule drugs. The tools being developed by the BRAIN Initiative that permit monitoring and modulating specific cell types in the brain could potentially be harnessed for therapeutic use. Already, gene therapies are available for CNS disorders [67]. Building off of such technologies, one can imagine therapeutic strategies for single-gene causes of psychiatric disorders like syndromal schizophrenia or neurodevelopmental disorders. Further technological advances are necessary, in addition to clinical studies that point to where and when interventions should be targeted, as well as biomarkers and clinical outcome measures that will help evaluate efficacy. 5.2. Digital health technology tools, digital biomarkers, and digital phenotyping Digital technologies may facilitate earlier detection of symp­ toms, monitor real-time changes in symptoms at the indivi­ dual level, and aid in identifying clinically meaningful benefit of novel interventions in clinical trials. This could lead to smaller, more efficient clinical trials, reducing the burden on patients, and bringing medicines to patients faster. Unlike conventional clinical rating scales, digital technologies offer objective measures with high temporal resolution acquired in EXPERT OPINION ON DRUG DISCOVERY the home and in the community settings. This is a significant advantage especially in the development of rapid-acting treat­ ments since they allow for much more frequent readouts. Speech sampling has proven particularly promising, and its ease of collection and low cost make it scalable. Passive sen­ sing is a particular advantage in individuals who lack insight, and/or may be disincentivized to report accurately (e.g., emer­ ging psychosis, mania, thoughts of self-harm, etc.). Digitally derived data may reveal heterogeneity that may help to explain individual variability in treatment response. Digital technologies offer new approaches to predict relapse, giving early warning to clinicians about patients in need of assess­ ment and intervention [68]. The ability to predict clinical out­ comes at an individual level will enable drug developers to enrich their samples for persons most likely to develop the clinical condition being targeted by the drug, thereby enhan­ cing signal and lowering needed sample size. For example, the Advancing Understanding of Recovery After Trauma (AURORA) study found that wrist-wearable device biomarkers predicted a range of clinical outcomes following trauma [69]. Such mea­ sures can be used to select the subset of patients most likely to develop a specific outcome in trials of drugs to prevent the onset of that outcome. It will be important to demonstrate the validity of digitally derived biomarkers and phenotypes for such applications in drug development. 5.3. Multimodal biomarker strategies A multimodal approach to biomarker discovery presents the appeal of incorporating multiple streams of data that may capture different domains of function and pathophysiological phenomena. Large-scale efforts supported by NIMH to dis­ cover multimodal biomarkers include the aforementioned AMP SCZ and AURORA studies. While the multimodal approach is highly promising, it also presents a number of challenges with respect to reliability, reproducibility, and valid­ ity. Collecting multiple data types longitudinally over time in large samples across multiple sites is resource intensive and requires rigorous standardization of collection methods and devices, data quality monitoring, and capture of various types of meta-data that will be needed to inform the analysis. Curating and archiving such multimodal data in a manner that will enable advanced data sciences approaches (e.g., AI and machine language) to identify multimodal biomarkers are additional challenges, as is the development of data stan­ dards, data dictionaries and other tools that will enable the data to be maximally useful. Principled approaches to data science, including measures to prevent over-fitting (separate study set, test set, and independent validation set), will be key to realizing the potential of the multimodal biomarker strat­ egy. New data science approaches, and software platforms, may be needed to achieve multimodal data fusion and sup­ port further studies in this arena. 5.4. Leveraging precision medicine to transform therapeutics Data-driven machine learning analyses can be applied to identify disease-relevant biotypes, predict individual symptom 847 profiles, and guide decision-making for personalized therapeu­ tic interventions. A framework for precision psychiatry built on multimodal biomarkers, systems medicine, digital health tech­ nologies, and data science approaches was highlighted in a recent review using Alzheimer’s disease as a case study [70]. Tools such as electroencephalography, neuroimaging, digital and other quantitative behavioral testing can be com­ bined with algorithmic approaches that enable stratification of patients based on likelihood of response to a given drug or treatment modality. A concept presented at a recent National Advisory Mental Health Council meeting lays out an NIMH strategy to validate tools (behavioral, physiological, and biolo­ gical) to predict individual response among two or more existing therapeutics for depression [71] and an NIH notice of a funding opportunity has been issued [72]. We are optimistic that many of the molecular targets in the psychiatric drug development pipeline will join the armamen­ tarium of new treatments for mental illnesses and that new targets emerging from the field of neuroscience and genetics will enter into drug discovery and development over the next five to ten years, yielding better treatments for patients. As new technologies and multimodal biomarker efforts are deployed to define disease phenotypes and early stages of illness for earlier intervention with pharmacological and psy­ chosocial treatments, it will be possible in the not-too-distant future to achieve better clinical outcomes for individuals with psychiatric disorders. Funding This manuscript has not been funded. Declaration of interest All authors are employees of the National Institute of Mental Health (NIMH). SH Lisanby additionally is an inventor of patents and has patent applications on electrical and magnetic brain stimulation therapy systems held by the National Institutes of Health and Columbia University and does not receive royalties. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials dis­ cussed in the manuscript apart from those disclosed. Reviewer disclosures Peer reviewers on this manuscript have no relevant financial or other relationships to disclose. References Papers of special note have been highlighted as either of interest (•) or as considerable interest (••) to readers. 1. Disease GBD, Injury I, Prevalence C. Global, regional, and national incidence, prevalence, and years lived with disability for 328 dis­ eases and injuries for 195 countries, 1990-2016: a systematic ana­ lysis for the Global Burden of Disease Study 2016. Lancet. 2017 Sep 16;390(10100):1211–1259. doi: 10.1016/S0140-6736(17)32154-2 2. Brady LS, Potter WZ, Gordon JA. Redirecting the revolution: new developments in drug development for psychiatry. Expert Opin Drug Discov. 2019 Dec;14(12):1213–1219. doi: 10.1080/17460441. 2019.1666102 848 L. S. BRADY ET AL. • An overview of the psychiatric drug development pipeline from 2013 through 2019. 3. U.S. Food and Drug Administration Novel Drug Approvals for 2023. Available from: https://www.fda.gov/drugs/new-drugs-fda-cdersnew-molecular-entities-and-new-therapeutic-biological-products /novel-drug-approvals-2023. • FDA’s Center for Drug Evaluation and Research list of novel drug approvals - new molecular entities defined as products that contain active moieties that the FDA has not previously approved as a single ingredient drug or as part of a combinations product. 4. Breakthrough Therapy Approvals. Available from: fda.gov/drugs/ nda-and-bla-approvals/breakthrough-therapy-approvals 5. Fast Track Approvals. Available from: fda.gov/drugs/nda-and-blaapprovals/fast-track-approvals 6. U.S. Food and Drug Administration Breakthrough Therapy Approvals. Available from: https://www.fda.gov/drugs/nda-and-blaapprovals/breakthrough-therapy-approvals 7. U.S. Food and Drug Administration Fast Track Approvals. Available : fda.gov/drugs/nda-and-bla-approvals/fast-track-approvals 8. U.S. National Library of Medicine ClinicalTrials.gov. Available from: https://clinicaltrials.gov 9. Sakurai H, Yonezawa K, Tani H, et al. Novel antidepressants in the pipeline (phase ii and iii): a systematic review of the us clinical trials registry. Pharmacopsychiatry. 2022 Jul;55(4):193–202. doi: 10.1055/a-1714-9097 • A review of antidepressant compounds with completed Phase II and III clinical trials. 10. Cerne R, Lippa A, Poe MM, et al. Gabakines - Advances in the discovery, development, and commercialization of positive allos­ teric modulators of GABA(A) receptors. Pharmacol Ther. 2022 Jun;234:108035. doi: 10.1016/j.pharmthera.2021.108035 • A review of positive allosteric modulators of gammaaminobutyric acid A (GABAA) receptors or GABAkines in clin­ ical development for CNS disorders and medicinal chemistry efforts to identify novel and improved GABAkines. 11. O’Donnell P, Dong C, Murthy V, et al. The D-amino acid oxidase inhibitor luvadaxistat improves mismatch negativity in patients with schizophrenia in a randomized trial. Neuropsychopharmacology. 2023 Jun;48(7):1052–1059. 12. Achtyes ED, Hopkins SC, Dedic N, et al. Ulotaront: review of pre­ liminary evidence for the efficacy and safety of a TAAR1 agonist in schizophrenia. Eur Arch Psychiatry Clin Neurosci. 2023 May 10. doi: 10.1007/s00406-023-01580-3 13. Correll CU, Angelov AS, Miller AC, et al. Safety and tolerability of KarXT (xanomeline-trospium) in a phase 2, randomized, double-blind, placebo-controlled study in patients with schizophrenia. Schizophrenia (Heidelb). 2022 Dec 3;8(1):109. doi: 10.1038/s41537-022-00320-1 14. Weiden PJ, Breier A, Kavanagh S, et al. Antipsychotic efficacy of KarXT (xanomeline-trospium): post hoc analysis of positive and negative syndrome scale categorical response rates, time course of response, and symptom domains of response in a phase 2 study. J Clin Psychiatry. 2022 May 11;83(3). doi: 10.4088/JCP. 21m14316 15. Paul SM, Yohn SE, Popiolek M, et al. Muscarinic acetylcholine receptor agonists as novel treatments for schizophrenia. Am J Psychiatry. 2022 Sep;179(9):611–627. 16. Rosenbrock H, Desch M, Wunderlich G. Development of the novel GlyT1 inhibitor, iclepertin (BI 425809), for the treatment of cogni­ tive impairment associated with schizophrenia. Eur Arch Psychiatry Clin Neurosci. 2023 Mar 27. doi: 10.1007/s00406-023-01576-z 17. Correll CU, Solmi M, Cortese S, et al. The future of psychopharma­ cology: a critical appraisal of ongoing phase 2/3 trials, and of some current trends aiming to de-risk trial programmes of novel agents. World Psychiatry. 2023 Feb;22(1):48–74. • An appraisal of promising drugs with innovative mechanisms of action in ongoing Phase II and II clinical trials for schizo­ phreniabipolar disorder, major depressive disorder, anxiety and trauma-related disorders, substance use disorders, and dementia. 18. NRx Pharmaceuticals Reports Minutes of Recent U.S. Food and Drug Administration (FDA) Meeting on the Development of NRX101 to Treat Severe Bipolar Depression in Patients with Suicidality [Apr 1, 2023]. Available from: https://www.prnewswire.com/newsreleases/nrx-pharmaceuticals-reports-minutes-of-recent-us-foodand-drug-administration-fda-meeting-on-the-development-of-nrx -101-to-treat-severe-bipolar-depression-in-patients-with-suicidality -301744832.html 19. Biotech F. Biotech pipeline hosts 163 potential meds for mental illness, with depression dominating: PhRMA [Apr 1, 2023]. Available from: https://www.fiercebiotech.com/biotech/biotech-pipelinehosts-163-potential-meds-mental-illness-depression-treatmentsmaking 20. Ghoussaini M, Nelson MR, Dunham I. Future prospects for human genetics and genomics in drug discovery. Curr Opin Struct Biol. 2023 Mar 21;80:102568. 21. King EA, Davis JW, Degner JF. Are drug targets with genetic sup­ port twice as likely to be approved? Revised estimates of the impact of genetic support for drug mechanisms on the probability of drug approval. PLoS Genet. 2019 Dec;15(12):e1008489. doi: 10. 1371/journal.pgen.1008489 •• A confirmatory analysis of human genetic evidence of dis­ ease association with drug targets and their success in Phase II and II clinical trials and statistical approaches for prioritizing new drug candidates based on human genetic evidence 22. Nelson MR, Tipney H, Painter JL, et al. The support of human genetic evidence for approved drug indications. Nat Genet. 2015 Aug;47(8):856–860. doi: 10.1038/ng.3314 •• A retrospective analysis of how well clinically successful drug mechanisms (the protein product modulated to elicit a clinical response) are predicted by known genetic asso­ ciations and how that prediction may change across the drug development pipeline, from preclinical and clinical phases to launched drugs, and the variation observed across disease states 23. Psychiatric Genomics Consortium [Apr 1, 2023]. Available from: https://pgc.unc.edu/ 24. CommonMind Consortium Knowledge Portal. Available from: https://www.synapse.org//#!Synapse:syn2759792/wiki/197283 25. The Schizophrenia Exome Sequencing Meta-analysis (SCHEMA) Consortium. Available from: https://schema.broadinstitute.org/ about 26. Trubetskoy V, Pardinas AF, Qi T, et al. Mapping genomic loci implicates genes and synaptic biology in schizophrenia. Nature. 2022 Apr;604(7906):502–508. 27. Mullins N, Forstner AJ, O’Connell KS, et al. Genome-wide associa­ tion study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology. Nat Genet. 2021 Jun;53 (6):817–829. 28. Wray NR, Ripke S, Mattheisen M, et al. Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. Nat Genet. 2018 May;50(5):668–681. 29. Kamb A, Harper S, Stefansson K. Human genetics as a foundation for innovative drug development. Nat Biotechnol. 2013 Nov;31 (11):975–978. doi: 10.1038/nbt.2732 30. Plenge RM, Scolnick EM, Altshuler D. Validating therapeutic targets through human genetics. Nat Rev Drug Discov. 2013 Aug;12 (8):581–594. doi: 10.1038/nrd4051 • A review highlighting the importance of human genetics as a valuable tool to prioritize molecular targets in drug development. 31. Genetic Architecture of Mental Disorders in Ancestrally Diverse Populations (U01 Clinical Trial Not Allowed). Available from: https://grants.nih.gov/grants/guide/pa-files/par-20-026.html 32. Scalable and Systematic Neurobiology of Psychiatric and Neurodevelopmental Disorder Risk Genes. Available from: https:// sspsygene.ucsc.edu/ 33. Liu C, Oikonomopoulos A, Sayed N, et al. Modeling human diseases with induced pluripotent stem cells: from 2D to 3D EXPERT OPINION ON DRUG DISCOVERY and beyond. Development. 2018 Mar 8;145(5). doi: 10.1242/dev. 156166 34. Silva-Pedrosa R, Salgado AJ, Ferreira PE. Revolutionizing disease modeling: the emergence of organoids in cellular systems. Cells. 2023 Mar 18;12(6):930. doi: 10.3390/cells12060930 35. Scalable and Systematic Neurobiology of Psychiatric and Neurodevelopmental Disorder Risk Genes (SSPsyGene) Consortium Available from: sspsygene.ucsc.edu 36. NIH The BRAIN Initiative . Available from: https://braininitiative. nih.gov/ 37. Ament SA, Adkins RS, Carter R, et al. The neuroscience multi-omic archive: a BRAIN Initiative resource for single-cell transcriptomic and epigenomic data from the mammalian brain. Nucleic Acids Res. 2023 Jan 6;51(D1):D1075–D1085. doi: 10.1093/nar/gkac962 • A curated repository of transcriptomic and epigenomic data from over 50 million brain cells, including single-cell genomic data from major regions of adult and prenatal human and mouse brains, and single-cell genomic data from non-human primates generated by The Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative Cell Census Network (BICCN) and related BRAIN Initiative projects 38. PsychENCODE Consortium. Available from: http://www.psychen code.org/ 39. Wen C, Margolis M, Dai R, et al. Cross-ancestry, cell-type-informed atlas of gene, isoform, and splicing regulation in the developing human brain. medRxiv. 2023 Mar 6. 40. Jimenez-Luna J, Grisoni F, Weskamp N, et al. Artificial intelligence in drug discovery: recent advances and future perspectives. Expert Opin Drug Discov. 2021 Sep;16(9):949–959. 41. Jayatunga MKP, Xie W, Ruder L, et al. AI in small-molecule drug discovery: a coming wave? Nat Rev Drug Discov. 2022 Mar;21 (3):175–176. doi: 10.1038/d41573-022-00025-1 • A perspective on the promise of artifical intelligence (AI) to create value in small molecule drug discovery, including greater productivity (faster speed and/or lower cost), broader molecular diversity, and improved chances of clinical success 42. DSP-0038 by Sunovion Pharmaceuticals for Alzheimer’s Disease: Likelihood of Approval. Available from: https://www.pharmaceuti cal-technology.com/data-insights/dsp-0038-sunovionpharmaceuticals-alzheimer-s-disease-likelihood-of-approval/ 43. Mak KK, Balijepalli MK, Pichika MR. Success stories of AI in drug discovery - where do things stand? Expert Opin Drug Discov. 2022 Jan;17(1):79–92. doi: 10.1080/17460441.2022.1985108 44. FDA-NIH Biomarker Working Group. BEST (Biomarkers, EndpointS, and other Tools) Resource [Internet]: National Center for Biotechnology Information (US), Bethesda (MD). Silver Spring (MD): Food and Drug Administration (US). 2016. https://www.ncbi. nlm.nih.gov/books/NBK326791/ •• A glossary developed by the FDA-NIH Biomarker Working Group as a resource for the community to ensure consistent use and understanding of biomarkers, clinical endpoints, and other drug development tools in biomedical research, clinical practice, medical product development, and in the regulation of products by the FDA 45. Vasudevan S, Saha A, Tarver ME, et al. Digital biomarkers: conver­ gence of digital health technologies and biomarkers. NPJ Digit Med. 2022 Mar 25;5(1):36. doi: 10.1038/s41746-022-00583-z • A commentary on the definition and roles of digital health technologies (DHTs) and digital biomarkers in healthcare applications with an emphasis on scientific evidencegenera­ tion and evaluation. 46. Torous J, Bucci S, Bell IH, et al. The growing field of digital psy­ chiatry: current evidence and the future of apps, social media, chatbots, and virtual reality. World Psychiatry. 2021 Oct;20 (3):318–335. doi: 10.1002/wps.20883 • A review of digital health technologies (DHTs) and technology mediums, clinical evidence-based uses of DHTs in psychiatric disorders, and challenges and opportunities for real-world implementation within mental health care settings. ® 849 47. Kappen M, Vanderhasselt MA, Slavich GM. Speech as a promising biosignal in precision psychiatry. Neurosci Biobehav Rev. 2023 Mar 11;148:105121. 48. Oetzmann C, White KM, Ivan A, et al. Lessons learned from recruit­ ing into a longitudinal remote measurement study in major depressive disorder. NPJ Digit Med. 2022 Sep 3;5(1):133. doi: 10. 1038/s41746-022-00680-z 49. Faurholt-Jepsen M, Lindbjerg Tonning M, Fros M, et al. Reducing the rate of psychiatric re-admissions in bipolar disorder using smartphones-The RADMIS trial. Acta Psychiatr Scand. 2021 May;143(5):453–465. 50. Tonning ML, Faurholt-Jepsen M, Frost M, et al. The effect of smartphone-based monitoring and treatment on the rate and dura­ tion of psychiatric readmission in patients with unipolar depressive disorder: the RADMIS randomized controlled trial. J Affect Disord. 2021 Mar 1;282:354–363. doi: 10.1016/j.jad.2020.12.141 51. Voleti R, Woolridge SM, Liss JM, et al. Language analytics for assessment of mental health status and functional competency. Schizophr Bull. 2023 Mar 22;49(Supplement_2):S183–S195. doi: 10. 1093/schbul/sbac176 52. Ettore E, Muller P, Hinze J, et al. Digital phenotyping for differential diagnosis of major depressive episode: narrative review. JMIR Ment Health. 2023 Jan 23;10:e37225. doi: 10.2196/37225 53. Biomarkers Consortium - Remote Digital Monitoring and PatientCentric Medical Product Development. Available from: https://fnih. org/our-programs/biomarkers-consortium/digitalmonitoring 54. U.S. Food and Drug Administration. Digital Health Technologies for Remote Data Acquisition in Clinical Investigations. Draft Guidance for Industry, Investigators, and Other Stakeholders 2021. Available from: https://www.fda.gov/regulatory-information/search-fdaguidance-documents/digital-health-technologies-remote-dataacquisition-clinical-investigations 55. U.S. Food and Drug Administration. Framework for the Use of DHTs in Drug and Biological Product Development [Apr 1, 2023]. Available from: https://www.fda.gov/science-research/science-andresearch-special-topics/digital-health-technologies-dhts-drugdevelopment 56. BEST Biomarker Category and Examples of Corresponding Drug Development Uses. Available from: https://www.Fda.gov/drugs/bio marker-qualification-program. •• An overview of biomarker categories - diagnostic, monitoring, predictive, prognostic, pharmacodynamic/response, safety, and susceptibility/risk - with examples of drug development contexts of use (e.g., patient selection, detect a change in the degree or extent of a disase, stratification or enrichment of participants in clinical research or a clinical trial, including biological response, efficacy biomarkers, or potential for selecting individuals at risk) 57. van Gool AJ, Henry B, Sprengers ED. From biomarker strategies to biomarker activities and back. Drug Discov Today. 2010 Feb;15(3– 4):121–126. doi: 10.1016/j.drudis.2009.11.004 58. Gopalakrishnan MJ, Handbook of behavioral neuroscience. In: George G, DEF N. Handbook of Behavioral Neuroscience. editor Translational Medicine in CNS Drug DevelopmentVol. 29: Elsevier 2019p. 247–258. doi: 10.1016/B978-0-12-803161-2.00018-7 59. Varrone A, Bundgaard C, Bang-Andersen B. PET as a translational tool in drug development for neuroscience compounds. Clin Pharmacol Ther. 2022 Apr;111(4):774–785. doi: 10.1002/cpt.2548 60. Multimodal Biomarkers for CNS Disorders: Development, Integration, and Clinical Utility Available from: https://www.nationa lacademies.org/event/03-13-2023/multimodal-biomarkers-forcentral-nervous-system-disorders-development-integration-andclinical-utility-a-workshop 61. Identification of Concepts and Terminology for Multi-Component Biomarkers Available: https://www.fda.gov/drugs/news-eventshuman-drugs/fda-public-meeting-identification-concepts-andterminology-multi-component-biomarkers-03232022 62. O’Donnell P, Rosen L, Alexander R, et al. Strategies to address challenges in neuroscience drug discovery and development. 850 L. S. BRADY ET AL. Int J Neuropsychopharmacol. 2019 Jul 1;22(7):445–448. doi: 10. 1093/ijnp/pyz027 •• A detailed overview of key challenges in neuroscience drug discovery and opportunities to address them. 63. ERP Biomarker Qualification Consortium. Available from: https:// erpbiomarkers.org/ 64. Cecchi M, Adachi M, Basile A, et al. Validation of a suite of ERP and QEEG biomarkers in a pre-competitive, industry-led study in sub­ jects with schizophrenia and healthy volunteers. Schizophr Res. 2023 Mar 13;254:178–189. doi: 10.1016/j.schres.2023.02.018 65. Accelerating Medicines Partnership Schizophrenia. Available from: https://www.ampscz.org/ 66. Brady LS, Larrauri CA, AMP SCZ Steering Committee, Accelerating Medicines Partnership Schizophrenia (AMP SCZ): developing tools to enable early intervention in the psy­ chosis high risk state. World Psychiatry. 2023 Feb;22(1):42–43. doi: 10.1002/wps.21038 • A public-private partnership focused on deeply phenotyping (multiple biomarker and digital measurements and clinical assessments) of clinical high risk individuals to characterize the trajectory of the illness and develop multimodal models to predict the clinical endpoints of individuals ® ® ® 67. Ledri M, Sorensen AT, Kokaia M, et al. Editorial: Gene Therapy in the CNS - Progress and Prospects for Novel Therapies. Front Mol Neurosci. 2021;14:778134. doi: 10.3389/fnmol.2021.778134 68. Cohen A, Naslund JA, Chang S, et al. Relapse prediction in schizophrenia with smartphone digital phenotyping during COVID-19: a prospective, three-site, two-country, longitudinal study. Schizophrenia (Heidelb). 2023 Jan 27;9(1):6. doi: 10.1038/s41537-023-00332-5 69. Straus LD, An X, Ji Y, et al. Utility of wrist-wearable data for asses­ sing pain, sleep, and anxiety outcomes after traumatic stress exposure. JAMA Psychiatry. 2023 Mar 1;80(3):220–229. doi: 10. 1001/jamapsychiatry.2022.4533 70. Hampel H, Gao P, Cummings J, et al. The foundation and architec­ ture of precision medicine in neurology and psychiatry. Trends Neurosci. 2023 Mar;46(3):176–198. 71. Developing Tools to Inform Treatment Selection in Depression [Apr 1, 2023]. Available from: https://www.nimh.nih.gov/funding/grantwriting-and-application-process/concept-clearances/2022/develop ing-tools-to-inform-treatment-selection-in-depression 72. Precision Mental Health: Develop Tools to Inform Treatment Selection in Depression (UG3/UH3 Clinical Trial Optional) [Jun 5, 2023]. Available from: https://grants.nih.gov/grants/guide/rfa-files /RFA-MH-24-120.html