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@ARTICLE{Jabbi:884807,
      author       = {Jabbi, Mbemba and Arasappan, Dhivya and Eickhoff, Simon B.
                      and Strakowski, Stephen M. and Nemeroff, Charles B. and
                      Hofmann, Hans A.},
      title        = {{N}euro-transcriptomic signatures for mood disorder
                      morbidity and suicide mortality},
      journal      = {Journal of psychiatric research},
      volume       = {127},
      issn         = {0022-3956},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2020-03265},
      pages        = {62 - 74},
      year         = {2020},
      abstract     = {Suicidal behaviors are strongly linked with mood disorders,
                      but the specific neurobiological and functional
                      gene-expression correlates for this linkage remain elusive.
                      We performed neuroimaging-guided RNA-sequencing in two
                      studies to test the hypothesis that imaging-localized gray
                      matter volume (GMV) loss in mood disorders, harbors
                      gene-expression changes associated with disease morbidity
                      and related suicide mortality in an independent postmortem
                      cohort. To do so, first, we conducted study 1 using an
                      anatomical likelihood estimation (ALE) MRI meta-analysis
                      including a total of 47 voxel-based morphometry (VBM)
                      publications (i.e. 26 control versus (vs) major depressive
                      disorder (MDD) studies, and 21 control vs bipolar disorder
                      (BD) studies) in 2387 (living) participants. Study 1
                      meta-analysis identified a selective anterior insula cortex
                      (AIC) GMV loss in mood disorders. We then used this results
                      to guide study 2 postmortem tissue dissection and
                      RNA-Sequencing of 100 independent donor brain samples with a
                      life-time history of MDD (N = 30), BD (N = 37) and control
                      (N = 33). In study 2, exploratory factor-analysis identified
                      a higher-order factor representing number of Axis-1
                      diagnoses (e.g. substance use disorders/psychosis/anxiety,
                      etc.), referred to here as morbidity and suicide-completion
                      referred to as mortality. Comparisons of case-vs-control,
                      and factor-analysis defined higher-order-factor contrast
                      variables revealed that the imaging-identified AIC GMV loss
                      sub-region harbors differential gene-expression changes in
                      high $morbidity-\&-mortality$ versus low
                      $morbidity-\&-mortality$ cohorts in immune, inflammasome,
                      and neurodevelopmental pathways. Weighted gene co-expression
                      network analysis further identified co-activated gene
                      modules for psychiatric morbidity and mortality outcomes.
                      These results provide evidence that AIC anatomical signature
                      for mood disorders are possible correlates for
                      gene-expression abnormalities in mood morbidity and suicide
                      mortality.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {571 - Connectivity and Activity (POF3-571)},
      pid          = {G:(DE-HGF)POF3-571},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32485434},
      UT           = {WOS:000539441300009},
      doi          = {10.1016/j.jpsychires.2020.05.013},
      url          = {https://juser.fz-juelich.de/record/884807},
}