Hauptseite > Publikationsdatenbank > A miR-137-related biological pathway of risk for Schizophrenia is associated with human brain emotion processing > print |
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024 | 7 | _ | |a 10.1016/j.bpsc.2023.11.001 |2 doi |
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037 | _ | _ | |a FZJ-2023-05147 |
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100 | 1 | _ | |a Pergola, Giulio |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
245 | _ | _ | |a A miR-137-related biological pathway of risk for Schizophrenia is associated with human brain emotion processing |
260 | _ | _ | |a Amsterdam [u.a.] |c 2024 |b Elsevier Inc. |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1710150293_11296 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
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336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
520 | _ | _ | |a BackgroundMiR-137 is a microRNA involved in brain development, regulating neurogenesis and neuronal maturation. Genome-Wide Association Studies implicate miR-137 in schizophrenia risk but do not explain its involvement in brain function and underlying biology. Polygenic risk for schizophrenia mediated by miR-137 targets is associated with working memory, although other evidence points to emotion processing. We characterized the functional brain correlates of miR-137 target genes associated with schizophrenia while disentangling previously reported associations of miR-137 targets with working memory and emotion processing.MethodsUsing RNA-sequencing data from postmortem prefrontal cortex (N=522), we identified a co-expression gene set enriched for miR-137 targets and schizophrenia risk genes. We validated the relationship of this set to miR-137 in-vitro by manipulating miR-137 expression in neuroblastoma cells. We translated this gene set into polygenic scores of co-expression prediction and associated them with fMRI activation in healthy volunteers (N1=214; N2=136; N3=2,075; N4=1,800) and with short-term treatment response in patients with schizophrenia (N=427).ResultsIn 4,652 human subjects, we found that (i) schizophrenia risk genes are co-expressed in a biologically validated set enriched for miR-137 targets, (ii) increased expression of miR-137 target risk genes is mediated by low prefrontal miR-137 expression, (iii) alleles predicting greater gene-set co-expression are associated with greater prefrontal activation during emotion processing in three independent healthy cohorts (N1-2-3), in interaction with age (N4), (iv) these alleles predict less improvement in negative symptoms following antipsychotic treatment in patients with schizophrenia. |
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700 | 1 | _ | |a Rampino, Antonio |0 P:(DE-HGF)0 |b 1 |
700 | 1 | _ | |a Sportelli, Leonardo |0 P:(DE-HGF)0 |b 2 |
700 | 1 | _ | |a Borcuk, Christopher James |0 P:(DE-HGF)0 |b 3 |
700 | 1 | _ | |a Passiatore, Roberta |0 P:(DE-Juel1)195972 |b 4 |
700 | 1 | _ | |a Di Carlo, Pasquale |0 P:(DE-HGF)0 |b 5 |
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700 | 1 | _ | |a Domenici, Enrico |0 P:(DE-HGF)0 |b 10 |
700 | 1 | _ | |a Gennarelli, Massimo |0 P:(DE-HGF)0 |b 11 |
700 | 1 | _ | |a Khlghatyan, Jivan |0 P:(DE-HGF)0 |b 12 |
700 | 1 | _ | |a Kikidis, Gianluca Christos |0 P:(DE-HGF)0 |b 13 |
700 | 1 | _ | |a Lella, Annalisa |0 P:(DE-HGF)0 |b 14 |
700 | 1 | _ | |a Magri, Chiara |0 P:(DE-HGF)0 |b 15 |
700 | 1 | _ | |a Monaco, Alfonso |0 P:(DE-HGF)0 |b 16 |
700 | 1 | _ | |a Papalino, Marco |0 P:(DE-HGF)0 |b 17 |
700 | 1 | _ | |a Parihar, Madhur |0 P:(DE-HGF)0 |b 18 |
700 | 1 | _ | |a Popolizio, Teresa |0 P:(DE-HGF)0 |b 19 |
700 | 1 | _ | |a Quarto, Tiziana |0 P:(DE-HGF)0 |b 20 |
700 | 1 | _ | |a Romano, Raffaella |0 P:(DE-HGF)0 |b 21 |
700 | 1 | _ | |a Torretta, Silvia |0 P:(DE-HGF)0 |b 22 |
700 | 1 | _ | |a Valsecchi, Paolo |0 P:(DE-HGF)0 |b 23 |
700 | 1 | _ | |a Zunuer, Hediche |0 P:(DE-HGF)0 |b 24 |
700 | 1 | _ | |a Blasi, Giuseppe |0 P:(DE-HGF)0 |b 25 |
700 | 1 | _ | |a Dukart, Jürgen |0 P:(DE-Juel1)177727 |b 26 |
700 | 1 | _ | |a Beaulieu, Jean Martin |0 P:(DE-HGF)0 |b 27 |
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773 | _ | _ | |a 10.1016/j.bpsc.2023.11.001 |g p. S2451902223003117 |0 PERI:(DE-600)2879089-3 |n 3 |p 356-366 |t Biological psychiatry / Cognitive neuroscience and neuroimaging |v 9 |y 2024 |x 2451-9022 |
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910 | 1 | _ | |a Giulio Pergola, PhD, Department of Translational Biomedicine and Neuroscience (DiBraiN), University of Bari Aldo Moro |0 I:(DE-HGF)0 |b 0 |6 P:(DE-HGF)0 |
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