The clinical presentation, course and treatment of methamphetamine
(METH)-associated psychosis (MAP) are similar to that observed in schizophrenia
(SCZ) and subsequently MAP has been hypothesized as a pharmacological and
environmental model of SCZ. However, several challenges currently exist in
diagnosing MAP accurately at the molecular and neurocognitive level before the
MAP model can contribute to the discovery of SCZ biomarkers. We directly
assessed subcortical brain structural volumes and clinical parameters of MAP
within the framework of an integrative genome-wide RNA-Seq blood transcriptome
analysis of subjects diagnosed with MAP (N=10), METH dependency
without psychosis (MA; N=10) and healthy controls
(N=10). First, we identified discrete groups of co-expressed
genes (that is, modules) and tested them for functional annotation and
phenotypic relationships to brain structure volumes, life events and
psychometric measurements. We discovered one MAP-associated module involved in
ubiquitin-mediated proteolysis downregulation, enriched with 61 genes previously
found implicated in psychosis and SCZ across independent blood and post-mortem
brain studies using convergent functional genomic (CFG) evidence. This module
demonstrated significant relationships with brain structure volumes including
the anterior corpus callosum (CC) and the nucleus accumbens. Furthermore, a
second MAP and psychoticism-associated module involved in circadian clock
upregulation was also enriched with 39 CFG genes, further associated with the
CC. Subsequently, a machine-learning analysis of differentially expressed genes
identified single blood-based biomarkers able to differentiate controls from
methamphetamine dependents with 87% accuracy and MAP from MA subjects
with 95% accuracy. CFG evidence validated a significant proportion of
these putative MAP biomarkers in independent studies including CLN3,
FBP1, TBC1D2 and ZNF821 (RNA degradation),
ELK3 and SINA3 (circadian clock) and PIGF and
UHMK1 (ubiquitin-mediated proteolysis). Finally, focusing analysis
on brain structure volumes revealed significantly lower bilateral hippocampal
volumes in MAP subjects. Overall, these results suggest similar molecular and
neurocognitive mechanisms underlying the pathophysiology of psychosis and SCZ
regardless of substance abuse and provide preliminary evidence supporting the
MAP paradigm as an exemplar for SCZ biomarker discovery.