SchizophreniaEarly Phase 1NCT03790085
Identification of Multi-modal Bio-markers for Early Diagnosis and Treatment Prediction in Schizophrenia Individuals
A Early Phase 1 study testing Risperidone, Olanzapine and Aripiprazole in people with Schizophrenia and Major Depressive Disorder, run by Tianjin Medical University General Hospital at 1 site in China.
Trial summary
This study aims to screen and validate multi-scale bio-markers for early diagnosis and medication monitoring for early schizophrenia, including the genetic, neurobiochemistry, neuroimaging and eletrophysiological measures. Read more about this study
- Who is it for?
- Ages 18 to 45 yearsHealthy volunteers can take part
- Conditions the study is for
- Schizophrenia, Major Depressive Disorder, Anxiety Disorders
- What is being tested?
- Risperidone, Olanzapine and Aripiprazole
- Type of treatment
- Pill or oral medicine
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 2,700 participants
- Where
- 1 siteChina
- Study dates
- 1 Sep 2018to 31 Dec 2020
- Phase
- Early Phase 1
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 45 years
- All sexes
- Healthy volunteers accepted
- Adult
Who may be able to join
- According with American mental disorder diagnosis and Diagnostic criteria for schizophrenia, major depressive disorder, and anxiety disorder in the statistical manual DSM-IV
- The time from the onset of symptoms for the first time to participate in study is less than 12 months
- No any anti-psychotic drugs or medication was taken more than 14 days
- Han nationality
- 18 to 45 years old
- Right-handed
Show all 12Show fewer
- Han nationality
- Right-handedness
- Gender, age and education level are matched with patients
- 18 to 45 years old
- Any mental disorder diagnosis in DSM-IV was excluded
- There were no relatives with severe mental disorder in the two or three generations
Who cannot join
- The patient has other psychiatric disorder beside the illness
- A history of psychoactive substance use, accompanied by severe physical disease
- Have a history of epilepsy or coma
- Women who are pregnant or breast-feeding
- Accompanied by metal implants, claustrophobia and other contraindications of MRI scan
Trial locations and contacts
1 site in 1 country.
China1 site, 1 recruiting
- Recruiting
Tianjin Medical University General Hospital
Tianjin, 300052
Chunshui Yu, MD, 862260362260, chunshuiyu@vip.163.com
Wen Qin, MD, 862260363760, qinwen@tmu.edu.cn
About this study
This study aims to screen and validate multi-scale bio-markers for early diagnosis and medication monitoring for early schizophrenia, including the genetic, neurobiochemistry, neuroimaging and eletrophysiological measures. Based on the validated bio-markers, the present study further tries to build several prediction models for early differential diagnosis of schizophrenia from healthy controls and other mental diseases (such as the major depression and anxiety disorders), biological sub-typing and diagnosis of the schizophrenia sub-types, and early prediction of the medication effects.
Read the detailed description
Schizophrenia is one of the most important diseases that threaten the health of Chinese people. In view of the current lack of objective biological markers in the diagnosis and treatment of schizophrenia, as well as the lack of effective early diagnosis methods and curative effect prediction methods, the investigators carried out joint research by integrating research teams from molecular genetics, neurobiochemistry, psychiatry, medical imaging, information science and other fields. The overall objective of the project is to establish a bio-marker system for individualized diagnosis and treatment of early schizophrenia. Specific research contents include: screening and verifying multidimensional objective biological markers such as genetics, neurobiochemistry, neuroimaging, electrophysiology, which is related to early diagnosis and efficacy prediction of schizophrenia through big data analysis of healthy controls and patients with first episode schizophrenia, depression and anxiety disorder. Pattern recognition method is used to build the individualized early diagnosis model, biological sub-type clustering model, biological sub-type individualized diagnosis model and early curative effect prediction model of schizophrenia. Based on the individualized diagnosis and treatment prediction model of schizophrenia, the individualized diagnosis and treatment toolkit was developed, and the individualized diagnosis and treatment prediction cloud platform was established to provide assist for clinicians.
- Conditions
- Schizophrenia, Major Depressive Disorder, Anxiety Disorders
- Being tested
- Risperidone, Olanzapine, Aripiprazole
- Keywords
- Precision medicine, Bio-marker, Neuroimaging, Molecular genetics, Neurobiochemical, Early diagnosis, Early prediction
- Medical subject headings
- Schizophrenia, Depressive Disorder, Major, Anxiety Disorders, Disease
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
RisperidoneDrug
Risperidone tablet
OlanzapineDrug
Olanzapine tablet
AripiprazoleDrug
Aripiprazole tablet
| Study group | Role | What they receive |
|---|---|---|
| Risperidone | Experimental | It can be used after schizophrenia is diagnosed. Risperidone affects prolactin and may affect menstruation in young women, so we will try not to use it in such patients. Patients were randomized to a single Risperidone control trial for 8 weeks to evaluate the clinical efficacy of the patients. Risperidone routine daily 2-6 mg, up to 8 mg, can be taken orally twice a day. Receives: Drug: Risperidone |
| Olanzapine | Experimental | It can be used after schizophrenia is diagnosed. Olanzapine is not generally used in patients with diabetes and hyperlipidemia. Patients were randomized to a single Olanzapine control trial for 8 weeks to evaluate the clinical efficacy of the patients. Olanzapine is available once or twice a day, starting at 5 mg daily and up to 20 mg daily. Receives: Drug: Olanzapine |
| Aripiprazole | Experimental | It can be used after schizophrenia is diagnosed. Aripiprazole has no specific contraindications. Patients were randomized to a single Aripiprazole control trial for 8 weeks to evaluate the clinical efficacy of the patients. Aripiprazole is taken orally once a day, starting at 10 mg daily and up to 30 mg daily. Receives: Drug: Aripiprazole |
What is being measured
The primary outcome is the main question the study is designed to answer.
Positive and Negative Syndrome Scale (PANSS)
It is a scale involved and standardized for assessing the severity of symptoms of different types of schizophrenia. Of the 30 items included in the PANSS, 7 constitute a Positive Scale, 7 a Negative Scale, and the remaining 16 a General Psychopathology Scale. Each of the 30 items is accompanied by a specific definition as well as detailed anchoring criteria for all seven rating points. The scores for these scales are arrived at by summation of ratings across component items. These seven points represent increasing levels of psychopathology, as follows: 1- absent, 2- minimal, 3-mild, 4-moderate, 5-moderate severe, 6-severe, 7-extreme. Therefore, the potential ranges are 7 to 49 for the Positive and Negative Scales, and 16 to 112 for the General Psychopathology Scale. A rating of 7 (extreme) refers to the most serious level of psychopathology in each item, so the higher the score is, the more serious the physical level is.
Measured: 30-45 minutes
Clinical Global Impression(CGI)
the CGI is a 3-item observer-rated scale that measures illness severity (CGIS), global improvement or change (CGIC) and therapeutic response.The CGI is rated on a 7-point scale, with the severity of illness scale using a range of responses from 1 (normal) through to 7 (amongst the most severely ill patients).CGI-C scores range from 1 (very much improved) through to 7 (very much worse). Treatment response ratings should take account of both therapeutic efficacy and treatment-related adverse events and range from 0 (marked improvement and no side-effects) and 4 (unchanged or worse and side-effects outweigh the therapeutic effects). Each component of the CGI is rated separately; the instrument does not yield a global score.
Measured: 10-15 minutes
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted31 Dec 2018
- Study start1 Sep 2018
- Primary completion30 Jun 2020 (estimated)
- Study completion31 Dec 2020 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (8)Papers the sponsor has linked to this study.
- Other trials for SchizophreniaStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Early Phase 1
- Primary purpose
- Diagnosis
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 2,700 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Tianjin Medical University General Hospital
- Sponsor type
- University, hospital or other
- Collaborators
- Shanghai Mental Health Center, Nanjing Medical University, Tianjin Anding Hospital, Harbin First Specialist Hospital, First Affiliated Hospital of Chongqing Medical University, Anhui Mental Health Center, Wuhan Psychiatric Hospital, Wenzhou Seventh People's Hospital, First Affiliated Hospital of Harbin Medical University
- Responsible party
- Principal investigator, Chunshui Yu, Tianjin Medical University General Hospital
- Investigators
- Chunshui Yu, MD, Principal investigator, Tianjin Medical University General Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03790085
- Sponsor's protocol ID
- 2018YFC1314300
- Status last verified
- Dec 2018
- First submitted
- 25 Dec 2018
- Last updated
- 31 Dec 2018
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Gusev A, Mancuso N, Won H, Kousi M, Finucane HK, Reshef Y, Song L, Safi A; Schizophrenia Working Group of the Psychiatric Genomics Consortium; McCarroll S, Neale BM, Ophoff RA, O'Donovan MC, Crawford GE, Geschwind DH, Katsanis N, Sullivan PF, Pasaniuc B, Price AL. Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights. Nat Genet. 2018 Apr;50(4):538-548. doi: 10.1038/s41588-018-0092-1. Epub 2018 Apr 9.
PubMed 29632383Zhu J, Zhuo C, Xu L, Liu F, Qin W, Yu C. Altered Coupling Between Resting-State Cerebral Blood Flow and Functional Connectivity in Schizophrenia. Schizophr Bull. 2017 Oct 21;43(6):1363-1374. doi: 10.1093/schbul/sbx051.
PubMed 28521048Drysdale AT, Grosenick L, Downar J, Dunlop K, Mansouri F, Meng Y, Fetcho RN, Zebley B, Oathes DJ, Etkin A, Schatzberg AF, Sudheimer K, Keller J, Mayberg HS, Gunning FM, Alexopoulos GS, Fox MD, Pascual-Leone A, Voss HU, Casey BJ, Dubin MJ, Liston C. Resting-state connectivity biomarkers define neurophysiological subtypes of depression. Nat Med. 2017 Jan;23(1):28-38. doi: 10.1038/nm.4246. Epub 2016 Dec 5.
PubMed 27918562Jaffe AE, Gao Y, Deep-Soboslay A, Tao R, Hyde TM, Weinberger DR, Kleinman JE. Mapping DNA methylation across development, genotype and schizophrenia in the human frontal cortex. Nat Neurosci. 2016 Jan;19(1):40-7. doi: 10.1038/nn.4181. Epub 2015 Nov 30.
PubMed 26619358Marshall CR, Howrigan DP, Merico D, Thiruvahindrapuram B, Wu W, Greer DS, Antaki D, Shetty A, Holmans PA, Pinto D, Gujral M, Brandler WM, Malhotra D, Wang Z, Fajarado KVF, Maile MS, Ripke S, Agartz I, Albus M, Alexander M, Amin F, Atkins J, Bacanu SA, Belliveau RA Jr, Bergen SE, Bertalan M, Bevilacqua E, Bigdeli TB, Black DW, Bruggeman R, Buccola NG, Buckner RL, Bulik-Sullivan B, Byerley W, Cahn W, Cai G, Cairns MJ, Campion D, Cantor RM, Carr VJ, Carrera N, Catts SV, Chambert KD, Cheng W, Cloninger CR, Cohen D, Cormican P, Craddock N, Crespo-Facorro B, Crowley JJ, Curtis D, Davidson M, Davis KL, Degenhardt F, Del Favero J, DeLisi LE, Dikeos D, Dinan T, Djurovic S, Donohoe G, Drapeau E, Duan J, Dudbridge F, Eichhammer P, Eriksson J, Escott-Price V, Essioux L, Fanous AH, Farh KH, Farrell MS, Frank J, Franke L, Freedman R, Freimer NB, Friedman JI, Forstner AJ, Fromer M, Genovese G, Georgieva L, Gershon ES, Giegling I, Giusti-Rodriguez P, Godard S, Goldstein JI, Gratten J, de Haan L, Hamshere ML, Hansen M, Hansen T, Haroutunian V, Hartmann AM, Henskens FA, Herms S, Hirschhorn JN, Hoffmann P, Hofman A, Huang H, Ikeda M, Joa I, Kahler AK, Kahn RS, Kalaydjieva L, Karjalainen J, Kavanagh D, Keller MC, Kelly BJ, Kennedy JL, Kim Y, Knowles JA, Konte B, Laurent C, Lee P, Lee SH, Legge SE, Lerer B, Levy DL, Liang KY, Lieberman J, Lonnqvist J, Loughland CM, Magnusson PKE, Maher BS, Maier W, Mallet J, Mattheisen M, Mattingsdal M, McCarley RW, McDonald C, McIntosh AM, Meier S, Meijer CJ, Melle I, Mesholam-Gately RI, Metspalu A, Michie PT, Milani L, Milanova V, Mokrab Y, Morris DW, Muller-Myhsok B, Murphy KC, Murray RM, Myin-Germeys I, Nenadic I, Nertney DA, Nestadt G, Nicodemus KK, Nisenbaum L, Nordin A, O'Callaghan E, O'Dushlaine C, Oh SY, Olincy A, Olsen L, O'Neill FA, Van Os J, Pantelis C, Papadimitriou GN, Parkhomenko E, Pato MT, Paunio T; Psychosis Endophenotypes International Consortium; Perkins DO, Pers TH, Pietilainen O, Pimm J, Pocklington AJ, Powell J, Price A, Pulver AE, Purcell SM, Quested D, Rasmussen HB, Reichenberg A, Reimers MA, Richards AL, Roffman JL, Roussos P, Ruderfer DM, Salomaa V, Sanders AR, Savitz A, Schall U, Schulze TG, Schwab SG, Scolnick EM, Scott RJ, Seidman LJ, Shi J, Silverman JM, Smoller JW, Soderman E, Spencer CCA, Stahl EA, Strengman E, Strohmaier J, Stroup TS, Suvisaari J, Svrakic DM, Szatkiewicz JP, Thirumalai S, Tooney PA, Veijola J, Visscher PM, Waddington J, Walsh D, Webb BT, Weiser M, Wildenauer DB, Williams NM, Williams S, Witt SH, Wolen AR, Wormley BK, Wray NR, Wu JQ, Zai CC, Adolfsson R, Andreassen OA, Blackwood DHR, Bramon E, Buxbaum JD, Cichon S, Collier DA, Corvin A, Daly MJ, Darvasi A, Domenici E, Esko T, Gejman PV, Gill M, Gurling H, Hultman CM, Iwata N, Jablensky AV, Jonsson EG, Kendler KS, Kirov G, Knight J, Levinson DF, Li QS, McCarroll SA, McQuillin A, Moran JL, Mowry BJ, Nothen MM, Ophoff RA, Owen MJ, Palotie A, Pato CN, Petryshen TL, Posthuma D, Rietschel M, Riley BP, Rujescu D, Sklar P, St Clair D, Walters JTR, Werge T, Sullivan PF, O'Donovan MC, Scherer SW, Neale BM, Sebat J; CNV and Schizophrenia Working Groups of the Psychiatric Genomics Consortium. Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects. Nat Genet. 2017 Jan;49(1):27-35. doi: 10.1038/ng.3725. Epub 2016 Nov 21.
PubMed 27869829Lei X, Ren J, Teng X, Guo C, Wu Z, Yu L, Chen X, Fu L, Zhang R, Wang D, Chen Y, Zhang Y, Zhang C. Characterizing Unipolar and Bipolar Depression by Alterations in Inflammatory Mediators and the Prefrontal-Limbic Structural Network. Depress Anxiety. 2023 May 24;2023:5522658. doi: 10.1155/2023/5522658. eCollection 2023.
PubMed 40224600Fu L, Ren J, Lei X, Wang Y, Chen X, Zhang R, Li Q, Teng X, Guo C, Wu Z, Yu L, Wang D, Chen Y, Qin J, Yuan A, Zhang C. Association of anhedonia with brain-derived neurotrophic factor and interleukin-10 in major depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry. 2024 Jul 13;133:111023. doi: 10.1016/j.pnpbp.2024.111023. Epub 2024 May 1.
PubMed 38701878Lei X, Fang X, Ren J, Teng X, Guo C, Wu Z, Yu L, Wang D, Chen Y, Zhou Y, Wu Y, Zhang Y, Zhang C. Plasma Apo-E mediated corticospinal tract abnormalities and suicidality in patients with major depressive disorder. Eur Arch Psychiatry Clin Neurosci. 2024 Aug;274(5):1167-1175. doi: 10.1007/s00406-023-01749-w. Epub 2024 Jan 24.
PubMed 38265467
Study at a glance
From the registry record, last updated by the sponsor on 31 Dec 2018. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Identification of Multi-modal Bio-markers for Early Diagnosis and Treatment Prediction in Schizophrenia Individuals
- ClinicalTrials.gov ID
- NCT03790085
- Acronym / sponsor ID
- 2018YFC1314300
- Conditions
- Schizophrenia, Major Depressive Disorder, Anxiety Disorders
- Keywords
- Precision medicine, Bio-marker, Neuroimaging, Molecular genetics, Neurobiochemical, Early diagnosis, Early prediction
- Phase
- Early Phase 1
- Study type
- Interventional
- Recruitment status
- Unknown status
- Enrolment
- 2,700 participants (estimated)
- Lead sponsor
- Tianjin Medical University General HospitalUniversity, hospital or other
- Collaborators
- Shanghai Mental Health Center, Nanjing Medical University, Tianjin Anding Hospital, Harbin First Specialist Hospital, First Affiliated Hospital of Chongqing Medical University, Anhui Mental Health Center, Wuhan Psychiatric Hospital, Wenzhou Seventh People's Hospital, First Affiliated Hospital of Harbin Medical University
- Study start
- 1 Sep 2018 (actual)
- Primary completion
- 30 Jun 2020 (estimated)
- Study completion
- 31 Dec 2020 (estimated)
- First posted
- 31 Dec 2018 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study aims to screen and validate multi-scale bio-markers for early diagnosis and medication monitoring for early schizophrenia, including the genetic, neurobiochemistry, neuroimaging and eletrophysiological measures. Based on the validated bio-markers, the present study further tries to build several prediction models for early differential diagnosis of schizophrenia from healthy controls and other mental diseases (such as the major depression and anxiety disorders), biological sub-typing and diagnosis of the schizophrenia sub-types, and early prediction of the medication effects.
Detailed description
Schizophrenia is one of the most important diseases that threaten the health of Chinese people. In view of the current lack of objective biological markers in the diagnosis and treatment of schizophrenia, as well as the lack of effective early diagnosis methods and curative effect prediction methods, the investigators carried out joint research by integrating research teams from molecular genetics, neurobiochemistry, psychiatry, medical imaging, information science and other fields. The overall objective of the project is to establish a bio-marker system for individualized diagnosis and treatment of early schizophrenia. Specific research contents include: screening and verifying multidimensional objective biological markers such as genetics, neurobiochemistry, neuroimaging, electrophysiology, which is related to early diagnosis and efficacy prediction of schizophrenia through big data analysis of healthy controls and patients with first episode schizophrenia, depression and anxiety disorder. Pattern recognition method is used to build the individualized early diagnosis model, biological sub-type clustering model, biological sub-type individualized diagnosis model and early curative effect prediction model of schizophrenia. Based on the individualized diagnosis and treatment prediction model of schizophrenia, the individualized diagnosis and treatment toolkit was developed, and the individualized diagnosis and treatment prediction cloud platform was established to provide assist for clinicians.
Study design
- Primary purpose
- Diagnosis
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| Risperidone | Experimental | Drug: RisperidoneIt can be used after schizophrenia is diagnosed. Risperidone affects prolactin and may affect menstruation in young women, so we will try not to use it in such patients. Patients were randomized to a single Risperidone control trial for 8 weeks to evaluate the clinical efficacy of the patients. Risperidone routine daily 2-6 mg, up to 8 mg, can be taken orally twice a day. |
| Olanzapine | Experimental | Drug: OlanzapineIt can be used after schizophrenia is diagnosed. Olanzapine is not generally used in patients with diabetes and hyperlipidemia. Patients were randomized to a single Olanzapine control trial for 8 weeks to evaluate the clinical efficacy of the patients. Olanzapine is available once or twice a day, starting at 5 mg daily and up to 20 mg daily. |
| Aripiprazole | Experimental | Drug: AripiprazoleIt can be used after schizophrenia is diagnosed. Aripiprazole has no specific contraindications. Patients were randomized to a single Aripiprazole control trial for 8 weeks to evaluate the clinical efficacy of the patients. Aripiprazole is taken orally once a day, starting at 10 mg daily and up to 30 mg daily. |
Who may qualify
- Ages
- 18 to 45 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult
Key inclusion criteria (12 listed)
- According with American mental disorder diagnosis and Diagnostic criteria for schizophrenia, major depressive disorder, and anxiety disorder in the statistical manual DSM-IV
- The time from the onset of symptoms for the first time to participate in study is less than 12 months
- No any anti-psychotic drugs or medication was taken more than 14 days
- Han nationality
- 18 to 45 years old
Key exclusion criteria (5 listed)
- The patient has other psychiatric disorder beside the illness
- A history of psychoactive substance use, accompanied by severe physical disease
- Have a history of epilepsy or coma
- Women who are pregnant or breast-feeding
- Accompanied by metal implants, claustrophobia and other contraindications of MRI scan
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| RisperidoneRisperidone tablet | Drug | Risperidone |
| OlanzapineOlanzapine tablet | Drug | Olanzapine |
| AripiprazoleAripiprazole tablet | Drug | Aripiprazole |
Primary outcome
Positive and Negative Syndrome Scale (PANSS)
Time frame: 30-45 minutes
It is a scale involved and standardized for assessing the severity of symptoms of different types of schizophrenia. Of the 30 items included in the PANSS, 7 constitute a Positive Scale, 7 a Negative Scale, and the remaining 16 a General Psychopathology Scale. Each of the 30 items is accompanied by a specific definition as well as detailed anchoring criteria for all seven rating points. The scores for these scales are arrived at by summation of ratings across component items. These seven points represent increasing levels of psychopathology, as follows: 1- absent, 2- minimal, 3-mild, 4-moderate, 5-moderate severe, 6-severe, 7-extreme. Therefore, the potential ranges are 7 to 49 for the Positive and Negative Scales, and 16 to 112 for the General Psychopathology Scale. A rating of 7 (extreme) refers to the most serious level of psychopathology in each item, so the higher the score is, the more serious the physical level is.
Clinical Global Impression(CGI)
Time frame: 10-15 minutes
the CGI is a 3-item observer-rated scale that measures illness severity (CGIS), global improvement or change (CGIC) and therapeutic response.The CGI is rated on a 7-point scale, with the severity of illness scale using a range of responses from 1 (normal) through to 7 (amongst the most severely ill patients).CGI-C scores range from 1 (very much improved) through to 7 (very much worse). Treatment response ratings should take account of both therapeutic efficacy and treatment-related adverse events and range from 0 (marked improvement and no side-effects) and 4 (unchanged or worse and side-effects outweigh the therapeutic effects). Each component of the CGI is rated separately; the instrument does not yield a global score.
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 31 Dec 2018.
- Results publication: PubMed 29632383Gusev A, Mancuso N, Won H, Kousi M, Finucane HK, Reshef Y, Song L, Safi A; Schizophrenia Working Group of the Psychiatric Genomics Consortium; McCarroll S, Neale BM, Ophoff RA, O'Donovan MC, Crawford GE, Geschwind DH, Katsanis N, Sullivan PF, Pasaniuc B, Price AL. Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights. Nat Genet. 2018 Apr;50(4):538-548. doi: 10.1038/s41588-018-0092-1. Epub 2018 Apr 9.
- Results publication: PubMed 28521048Zhu J, Zhuo C, Xu L, Liu F, Qin W, Yu C. Altered Coupling Between Resting-State Cerebral Blood Flow and Functional Connectivity in Schizophrenia. Schizophr Bull. 2017 Oct 21;43(6):1363-1374. doi: 10.1093/schbul/sbx051.
- Results publication: PubMed 27918562Drysdale AT, Grosenick L, Downar J, Dunlop K, Mansouri F, Meng Y, Fetcho RN, Zebley B, Oathes DJ, Etkin A, Schatzberg AF, Sudheimer K, Keller J, Mayberg HS, Gunning FM, Alexopoulos GS, Fox MD, Pascual-Leone A, Voss HU, Casey BJ, Dubin MJ, Liston C. Resting-state connectivity biomarkers define neurophysiological subtypes of depression. Nat Med. 2017 Jan;23(1):28-38. doi: 10.1038/nm.4246. Epub 2016 Dec 5.
- Results publication: PubMed 26619358Jaffe AE, Gao Y, Deep-Soboslay A, Tao R, Hyde TM, Weinberger DR, Kleinman JE. Mapping DNA methylation across development, genotype and schizophrenia in the human frontal cortex. Nat Neurosci. 2016 Jan;19(1):40-7. doi: 10.1038/nn.4181. Epub 2015 Nov 30.
- Results publication: PubMed 27869829Marshall CR, Howrigan DP, Merico D, Thiruvahindrapuram B, Wu W, Greer DS, Antaki D, Shetty A, Holmans PA, Pinto D, Gujral M, Brandler WM, Malhotra D, Wang Z, Fajarado KVF, Maile MS, Ripke S, Agartz I, Albus M, Alexander M, Amin F, Atkins J, Bacanu SA, Belliveau RA Jr, Bergen SE, Bertalan M, Bevilacqua E, Bigdeli TB, Black DW, Bruggeman R, Buccola NG, Buckner RL, Bulik-Sullivan B, Byerley W, Cahn W, Cai G, Cairns MJ, Campion D, Cantor RM, Carr VJ, Carrera N, Catts SV, Chambert KD, Cheng W, Cloninger CR, Cohen D, Cormican P, Craddock N, Crespo-Facorro B, Crowley JJ, Curtis D, Davidson M, Davis KL, Degenhardt F, Del Favero J, DeLisi LE, Dikeos D, Dinan T, Djurovic S, Donohoe G, Drapeau E, Duan J, Dudbridge F, Eichhammer P, Eriksson J, Escott-Price V, Essioux L, Fanous AH, Farh KH, Farrell MS, Frank J, Franke L, Freedman R, Freimer NB, Friedman JI, Forstner AJ, Fromer M, Genovese G, Georgieva L, Gershon ES, Giegling I, Giusti-Rodriguez P, Godard S, Goldstein JI, Gratten J, de Haan L, Hamshere ML, Hansen M, Hansen T, Haroutunian V, Hartmann AM, Henskens FA, Herms S, Hirschhorn JN, Hoffmann P, Hofman A, Huang H, Ikeda M, Joa I, Kahler AK, Kahn RS, Kalaydjieva L, Karjalainen J, Kavanagh D, Keller MC, Kelly BJ, Kennedy JL, Kim Y, Knowles JA, Konte B, Laurent C, Lee P, Lee SH, Legge SE, Lerer B, Levy DL, Liang KY, Lieberman J, Lonnqvist J, Loughland CM, Magnusson PKE, Maher BS, Maier W, Mallet J, Mattheisen M, Mattingsdal M, McCarley RW, McDonald C, McIntosh AM, Meier S, Meijer CJ, Melle I, Mesholam-Gately RI, Metspalu A, Michie PT, Milani L, Milanova V, Mokrab Y, Morris DW, Muller-Myhsok B, Murphy KC, Murray RM, Myin-Germeys I, Nenadic I, Nertney DA, Nestadt G, Nicodemus KK, Nisenbaum L, Nordin A, O'Callaghan E, O'Dushlaine C, Oh SY, Olincy A, Olsen L, O'Neill FA, Van Os J, Pantelis C, Papadimitriou GN, Parkhomenko E, Pato MT, Paunio T; Psychosis Endophenotypes International Consortium; Perkins DO, Pers TH, Pietilainen O, Pimm J, Pocklington AJ, Powell J, Price A, Pulver AE, Purcell SM, Quested D, Rasmussen HB, Reichenberg A, Reimers MA, Richards AL, Roffman JL, Roussos P, Ruderfer DM, Salomaa V, Sanders AR, Savitz A, Schall U, Schulze TG, Schwab SG, Scolnick EM, Scott RJ, Seidman LJ, Shi J, Silverman JM, Smoller JW, Soderman E, Spencer CCA, Stahl EA, Strengman E, Strohmaier J, Stroup TS, Suvisaari J, Svrakic DM, Szatkiewicz JP, Thirumalai S, Tooney PA, Veijola J, Visscher PM, Waddington J, Walsh D, Webb BT, Weiser M, Wildenauer DB, Williams NM, Williams S, Witt SH, Wolen AR, Wormley BK, Wray NR, Wu JQ, Zai CC, Adolfsson R, Andreassen OA, Blackwood DHR, Bramon E, Buxbaum JD, Cichon S, Collier DA, Corvin A, Daly MJ, Darvasi A, Domenici E, Esko T, Gejman PV, Gill M, Gurling H, Hultman CM, Iwata N, Jablensky AV, Jonsson EG, Kendler KS, Kirov G, Knight J, Levinson DF, Li QS, McCarroll SA, McQuillin A, Moran JL, Mowry BJ, Nothen MM, Ophoff RA, Owen MJ, Palotie A, Pato CN, Petryshen TL, Posthuma D, Rietschel M, Riley BP, Rujescu D, Sklar P, St Clair D, Walters JTR, Werge T, Sullivan PF, O'Donovan MC, Scherer SW, Neale BM, Sebat J; CNV and Schizophrenia Working Groups of the Psychiatric Genomics Consortium. Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects. Nat Genet. 2017 Jan;49(1):27-35. doi: 10.1038/ng.3725. Epub 2016 Nov 21.
- Derived from this study: PubMed 40224600Lei X, Ren J, Teng X, Guo C, Wu Z, Yu L, Chen X, Fu L, Zhang R, Wang D, Chen Y, Zhang Y, Zhang C. Characterizing Unipolar and Bipolar Depression by Alterations in Inflammatory Mediators and the Prefrontal-Limbic Structural Network. Depress Anxiety. 2023 May 24;2023:5522658. doi: 10.1155/2023/5522658. eCollection 2023.
- Derived from this study: PubMed 38701878Fu L, Ren J, Lei X, Wang Y, Chen X, Zhang R, Li Q, Teng X, Guo C, Wu Z, Yu L, Wang D, Chen Y, Qin J, Yuan A, Zhang C. Association of anhedonia with brain-derived neurotrophic factor and interleukin-10 in major depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry. 2024 Jul 13;133:111023. doi: 10.1016/j.pnpbp.2024.111023. Epub 2024 May 1.
- Derived from this study: PubMed 38265467Lei X, Fang X, Ren J, Teng X, Guo C, Wu Z, Yu L, Wang D, Chen Y, Zhou Y, Wu Y, Zhang Y, Zhang C. Plasma Apo-E mediated corticospinal tract abnormalities and suicidality in patients with major depressive disorder. Eur Arch Psychiatry Clin Neurosci. 2024 Aug;274(5):1167-1175. doi: 10.1007/s00406-023-01749-w. Epub 2024 Jan 24.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Chunshui Yu, MD principal investigator
Tianjin Medical University General Hospital
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A Early Phase 1 study testing Risperidone, Olanzapine and Aripiprazole in people with Schizophrenia and Major Depressive Disorder, run by Tianjin Medical University General Hospital at 1 site in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 12 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 31 Dec 2018. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
What does this phase mean?
Early Phase 1 (sometimes called Phase 0) studies give a very small amount of a treatment to a few people, mainly to see how the body handles it.
Not every study follows the same path, and some studies (observational studies, device studies) have no phase.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Chunshui Yu, MD (862260363760, chunshuiyu@vip.163.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Positive and Negative Syndrome Scale (PANSS) (time frame: 30-45 minutes). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03790085, which also lists 8 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 31 Dec 2018.