Building REsilience against MEntal illness during ENDocrine-sensitive life stages (Re-MEND)
Building REsilience against MEntal illness during ENDocrine-sensitive life stages (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 --
中文摘要
精神疾病给社会、经济带来了巨大的负担,而精神疾病则给社会、经济和受影响的个人带来了巨大的负担。来显著增加公民人数?心理健康,今天?S基于症状的诊断需要得到考虑个体和性别差异的生物学标准的补充。此外,需要改进早期发现和预防措施。Remend用跨学科的方法解决了目前的差距和挑战:i)专注于四个关键的生命阶段,在这四个阶段中,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,即早期生命、青春期、围产期和到老年的过渡;ii)整合来自大型基于人群的纵向队列研究的数据,允许发现在这些生命阶段影响普通人群心理状态的风险和保护因素以及生物模式;iii)补充流行病学和实验研究,以建立导致机械性理解的相关和原因联系;四)利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以及生物标志物和药物靶标的发现;五)将生物学方法与传播科学研究相结合,以有效地将其成果转化为社会影响。最终,Re-Mend将导致:i)显著提高利益相关者和公民的心理健康素养;ii)经过验证的用于评估精神健康状况及其易感性的生物标记物,以及更准确的诊断和个性化的预防和治疗措施;iii)为早期发现、更好的预防和药物设计战略提供建议,以保护脆弱个人在敏感的生命阶段免受精神疾病的影响;以及iv)关于如何利用这些进展来减少耻辱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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