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

精神疾病是社会和经济的巨大负担，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。大幅增加公民数量？今天是心理健康吗？以症状为基础的诊断需要补充考虑个体和性别差异的生物学标准。此外，需要改进早期发现和预防措施。remend通过跨学科的方法解决了当前的差距和挑战：i)关注个人的四个关键人生阶段？对精神疾病的易感性受到包括性激素在内的内分泌信号变化的强烈影响，即生命早期、青春期、围产期和向老年过渡；Ii)整合来自大规模人口纵向队列研究的数据，以便发现在这些生命阶段影响一般人口心理状态的风险和保护因素以及生物模式；Iii)以实验研究补充流行病学，以建立相关和因果关系，从而实现机制理解；Iv)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，有效地将其结果转化为社会影响。最终，推荐方案将导致：i)大大提高利益攸关方和公民的心理健康素养；ii)用于评估心理健康状况及其易感性以及更准确的诊断和个性化预防和治疗措施的有效生物标志物；iii)建议早期发现、更好的预防和药物设计策略，以保护脆弱个体在敏感的生命阶段免受精神疾病的侵害；iv)关于如何利用这些进展减少耻辱感和增加预防行为的战略。

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.