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Personalized medicine for schizophrenia: developing neuropsychological tests at first episode to predict treatment resistance

Personalized medicine for schizophrenia: developing neuropsychological tests at first episode to predict treatment resistance
精神分裂症的个性化医疗:在首次发作时进行神经心理学测试以预测治疗耐药性
批准号:
2065232
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --

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中文摘要
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英文摘要
30% of patients with schizophrenia fail to respond to at least 2 antipsychotics [Treatment resistant schizophrenia (TRS), accounting for 25-50% of total NHS funding for mental health]. Clozapine is the gold-standard treatment for TRS, but recent evidence shows that the probability of response to clozapine diminishes when treatment is delayed, and that the mean delay in SLAM is 4 years. Early identification of TRS is therefore crucial, so that personalised treatment can be given quickly. There is emerging evidence that TRS can be identified from first episode using neurochemical imaging such as PET and MRS. However, such investigations are costly and burdensome for patients, limiting their utility in clinical practice. Neuropsychological investigations are inexpensive, well tolerated and have great potential, alone or in combination with blood biomarkers, to stratify patients into TRS and non-TRS subtypes. The proposed PhD will:(1) combine existing data from first episode psychosis studies:i. MRC: Aetiology and Ethnicity in Schizophrenia and Other Psychoses: ÆSOP (N=402);ii. NIHR BRC Genetics and Psychosis: GAP (N=246); iii. MRC MICA: Schizophrenia Treatment Resistance and Therapeutic Advances: (STRATA) (N=492) (2) identify neuropsychological predictors distinguishing between treatment-responsive schizophrenia, early-onset TRS and late-onset TRS, in order to(3) inform the design of a multi-modal approach combining genetic and other data to predict treatment response in schizophrenia.
期刊论文(3)
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科研奖励(0)
会议论文
DOI: 10.1017/s0033291721004128
发表时间: 2022-01
期刊: Psychological medicine
影响因子: 6.9
作者: [Millgate E, Hide O, Lawrie SM, Murray RM, MacCabe JH, Kravariti E]
通讯作者: Kravariti E
DOI: 10.1136/bmjopen-2022-062570
发表时间: 2022-11-21
期刊: BMJ OPEN
影响因子: 2.9
作者: [Millgate, Edward, Griffiths, Kira, Egerton, Alice, Kravariti, Eugenia, Casetta, Cecilia, Deakin, Bill, Drake, Richard, Howes, Oliver D., Kassoumeri, Laura, Khan, Sobia, Lankshear, Steve, Lees, Jane, Lewis, Shon, Mikulskaya, Elena, Oloyede, Ebenezer, Owens, Rebecca, Pollard, Rebecca, Rich, Nathalie, Smart, Sophie, Segev, Aviv, Verena Sendt, Kyra, MacCabe, James]
通讯作者: MacCabe, James
DOI: 10.1136/bmjopen-2021-054160
发表时间: 2021-11-25
期刊: BMJ open
影响因子: 2.9
作者: [Millgate E, Kravariti E, Egerton A, Howes OD, Murray RM, Kassoumeri L, Donocik J, Lewis S, Drake R, Lawrie S, Murphy A, Collier T, Lees J, Stockton-Powdrell C, Walters J, Deakin B, MacCabe J]
通讯作者: MacCabe J
国内基金
海外基金
新型二维/三维双体系癌症研究模型的建立
  • 批准号:
    32070796
  • 项目类别:
    面上项目
  • 资助金额:
    58.0万元
  • 批准年份:
    2020
  • 负责人:
    王霞
  • 依托单位:
Chinese Journal of Integrative Medicine
  • 批准号:
    81224004
  • 项目类别:
    专项基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2012
  • 负责人:
    徐浩
  • 依托单位:
基于新生血管显像研究MSC治疗缺血性脑血管病的转化医学关键问题
基于循证医学本体论的临床元数据语言研究