FLOURISH · IdentiFication of brain deveLopmental gene co-expression netwOrks to Understand RIsk for SchizopHrenia
„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“
- Период
- 2018-11-08 → 2021-11-07
- Финансиране от ЕС
- 262 269 €
- Участници
- 2
- Схема
- MSCA-IF-GF
Линиите свързват координатора с партньорите.
Накратко на български
Генните мрежи в различни области на мозъка се проследяват от плодното развитие до старостта, за да се види как се променят при риск от шизофрения. Това помага да се разберат биологичните механизми и промените в развитието на мозъка преди появата на заболяването.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
IdentiFication of brain deveLopmental gene co-expression netwOrks to Understand RIsk for SchizopHrenia
The symptoms of schizophrenia severely compromise the quality of life of patients and of their families. Although schizophrenia is a heritable disorder, identifying the specific genes involved and the biological mechanisms they affect has only recently met with some success. Studies by the Psychiatric Genomic Consortium have revealed hundreds of genetic variants bearing minimal effects on risk for schizophrenia. Still, the biology of these genetic variants remains mostly unknown. Genetic variation between individuals is associated with the function of many genes; the genes affected by variants associated with schizophrenia are generally called “risk genes”. The current understanding of the genetics of schizophrenia suggests that gene networks are key to understanding how genes function in the context of brain cells. However, prior work did not account for lifespan changes in gene networks, mostly involving adult subjects only. Therefore, the function of schizophrenia risk genes in neurotypical development and lifespan changes remains undetermined. This information is vital in fighting schizophrenia because it is thought that the disease’s cause lies in brain developmental changes occurring before the onset. FLOURISH aimed to fill this gap by studying how gene networks in multiple brain regions change from fetal life to older adulthood and how they impact neuroimaging measures that can be acquired in subjects at risk. A methodological objective of FLOURISH was to develop rigorous models of gene networks derived from postmortem brain materials of neurotypical individuals. A further methodological challenge was obtaining gene networks comparable across time points in the lifespan and across brain regions, despite the biological differences existing between early and advanced ages and between brain regions. Then, FLOURISH aimed to identify schizophrenia risk gene networks and assess their changes from fetal life along the lifespan to translate early and later risk into brain function. To understand how gene networks translate into brain changes across the lifespan, FLOURISH collected genetic and neuroimaging data in a young cohort of individuals between 15 and 25 years old and in a cohort of adult participants (aged 30 to 50 years). FLOURISH successfully generated well-matched networks carefully controlled for confounding variables which revealed a preeminent role of the perinatal and juvenile dorsolateral prefrontal cortex in aggregating risk for schizophrenia dispersed across many genes. Genes co-expressed with schizophrenia risk genes, not detected in previous genetic studies, were identified and could be used as novel targets for drug development. Within functional magnetic resonance imaging data collected in Bari, Italy, FLOURISH identified connectivity patterns characteristic of young ages that appear overly mature in individuals at risk to develop schizophrenia. These results have been communicated in several scientific meetings and in a workshop targeted at families of patients with schizophrenia and other psychotic disorders.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
Schizophrenia risk is largely determined by genetic variation and is associated with altered development of several brain regions. Since there are likely thousands of genetic risk variants, the biology of risk and its effects on neural development cannot be determined by examining one gene at a time. Rather, it is important to understand how these genes converge into molecular pathways that determine overall risk. Genes converge into pathways because they are coordinated in response to environmental and physiologic factors. Hence, FLOURISH aims to identify biologically plausible pathways of convergence of genetic risk for schizophrenia along neural development in critical brain regions involved in schizophrenia risk. Gene Co-expression Network Analysis is effective to identify pathways of genes that are regulated, and thus expressed, together. FLOURISH will study how gene co-expression unfolds along the lifespan in the prefrontal cortex, hippocampus and striatum. Gene co-expression networks will then be associated with genetic variants to identify markers of pathway co-regulation. Genetic markers of pathways co-regulation will be combined into polygenic scores that will be tested as predictors of the structure and activity of the target brain regions assessed by magnetic resonance imaging. The action will consist of a training period (2 years) which Dr. Giulio Pergola will spend at the Lieber Institute for Brain Development (LIBD) at Johns Hopkins University, Baltimore, USA. LIBD is unique because of the unrivalled technology, expertise and research data regarding brain development. Dr. Pergola will be training about RNA analyses and return to the University of Bari Aldo Moro (UNIBA) in the final year, to validate his genetic discoveries by means of neuroimaging. UNIBA is currently setting up the largest neuroimaging center in southern Italy and plans to have Dr. Pergola build an imaging genomics team to promote personalized medicine in psychiatry.
Оригинален текст от CORDIS (на английски).
Участници
- UNIVERSITA DEGLI STUDI DI BARI ALDO MORO · BariКоординаторИталия
- Lieber Institute for Brain Development · BaltimoreСъединени щати
Връзки
- Виж в CORDIS
- DOI: 10.3030/798181
- https://www.uniba.it/ricerca/dipartimenti/smbnos/sezioni/psichiatria/psichiatria-en/research/neuroimaging-and-biostatistics-laboratory/alumni
Данни: CORDIS, © Европейски съюз
