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Building REsilience against MEntal illness during ENDocrine-sensitive life stages (Re-MEND)

Building REsilience against MEntal illness during ENDocrine-sensitive life stages (Re-MEND)
在内分泌敏感的生命阶段建立针对精神疾病的抵抗力(Re-MEND)
批准号:
10062117
负责人:
金额:
$4.48万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
翻译
精神疾病对社会、经济和受影响的个人来说都是巨大的负担。大幅增加公民?心理健康,今天?基于性别的诊断需要辅之以考虑到个体和性别差异的生物标准。此外,需要改进早期发现和预防措施。RE-MEND以跨学科的方法解决了当前的差距和挑战:i)专注于四个关键的生命阶段,其中一个人?对精神疾病的易感性受到内分泌信号变化的强烈影响,包括性激素,即早期生活,青春期,围产期和向老年的过渡; ii)整合来自大型人口纵向队列研究的数据,允许发现风险和保护因素以及影响一般人群在这些生命阶段的精神状态的生物模式; iii)用实验研究补充流行病学,以建立相关和因果联系,从而导致机理理解; iv)使用先进的生物统计学以及机器学习和人工智能进行数据整合和生物标志物和药物靶点发现; v)将生物学方法与传播科学研究相结合,以有效地将其结果转化为社会影响。最后,RE-MEND将导致:一)利益攸关方和公民的心理健康素养显著提高;二)用于评估心理健康状态及其易感性的经验证的生物标志物以及更准确的诊断和个性化的预防和治疗措施;三)早期发现,更好的预防和药物设计策略的建议,以保护处于敏感生命阶段的弱势个体免受精神疾病的影响; ㈣关于如何利用这些进展减少污名化和增加预防行为的战略。
英文摘要
Mental illnesses represent a huge burden for society, the economy, and the aMental illnesses represent a huge burden for society, the economy, and the affected individuals. To significantly increase citizens? mental health, today?s symptom-based diagnoses need to be complemented by biological criteria accounting for individual and sex differences. Furthermore, early detection and prevention measures need to be improved. RE-MEND addresses the current gaps and challenges with an interdisciplinary approach by: i) focussing on four critical life stages in which an individual?s susceptibility to mental illness is strongly influenced by changes in endocrine signalling, including sex hormones, namely early life, puberty, peripartum, and transition into old age; ii) integrating data from large population-based longitudinal cohort studies allowing for discovery of risk and protective factors as well as biological patterns that influence mental states in the general population across these life stages; iii) complementing epidemiological with experimental studies to establish correlative and causative links leading to mechanistic understanding; iv) using advanced biostatistics as well as machine learning and artificial intelligence for data integration and biomarker and drug target discovery; v) combining the biological approaches with communication science studies to efficiently translate its results to societal impact. Ultemately, RE-MEND will result in: i) Significantly increased mental health literacy among stakeholders and citizens; ii) Validated biomarkers for assessing mental health state and its predisposition as well as more accurate diagnoses and personalised preventive and therapeutic measures; iii) Recommendations for early detection, better prevention, and drug design strategies to protect vulnerable individuals from mental illness in sensitive life stages; and iv) strategies on how these advances can be used to decrease stigma and increase prevention behaviour.
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