Dendritic and synaptic damage (without frank neuronal loss) may be seen in milder human immunodeficiency virus (HIV)‐related cognitive disorders. Synapse volume estimates, performed by stereological methods, could enhance the ability to detect subtle neuronal changes that may accompany cognitive impairment in HIV infection. For the present study, synaptic density and neuronal number were assessed by combined stereology/confocal microscopy and these measures were then correlated with ante‐mortem levels of cognitive performance in AIDS patients. Three‐dimensional stereological measures showed a significant correlation between reduced synaptic density and poor neuropsychological performance. To evaluate the specificity of any observed associations, additional variables including viral burden, astrogliosis and number of calbindin‐immunoreactive neurons were measured. Factor analysis of a set of neuropathological variables revealed two factors; one defined by synaptic density and volume fraction, calbindin pyramidal neuronal densities and viral burden; the second by astrocytosis and calbindin interneuron density. Only the first factor correlated significantly with neuropsychological functioning during life. It is concluded that a combination of factors including synaptic damage, specific neuronal loss and increasing viral load underlies HIV‐associated cognitive impairment. As synaptic damage is potentially reversible, early diagnosis and treatment of mild cogntive disorders may improve functioning and prevent the progression of brain disease.

Objective Transcriptomic biomarkers of psychiatric diseases obtained from a query of peripheral tissues that are clinically accessible (e.g., blood cells instead of post-mortem brain tissue) have substantial practical appeal to discern the molecular subtypes of common complex diseases such as major psychosis. To this end, spliceome-profiling is a new methodological approach that has considerable conceptual relevance for discovery and clinical translation of novel biomarkers for psychiatric illnesses. Advances in microarray technology now allow for improved sensitivity in measuring the transcriptome while simultaneously querying the “exome” (all exons) and “spliceome” (all alternatively spliced variants). The present study aimed to evaluate the feasibility of spliceome-profiling to discern transcriptomic biomarkers of psychosis. Methods We measured exome and spliceome expression in peripheral blood mononuclear cells from 13 schizophrenia patients, nine bipolar disorder patients, and eight healthy control subjects. Each diagnostic group was compared to each other, and the combined group of bipolar disorder and schizophrenia patients was also compared to the control group. Furthermore, we compared subjects with a history of psychosis to subjects without such history. Results After applying Bonferroni corrections for the 21,866 full-length gene transcripts analyzed, we found significant interactions between diagnostic group and exon identity, consistent with group differences in rates or types of alternative splicing. Relative to the control group, 18 genes in the bipolar disorder group, eight genes in the schizophrenia group, and 15 genes in the combined bipolar disorder and schizophrenia group appeared differentially spliced. Importantly, thirty-three genes showed differential splicing patterns between the bipolar disorder and schizophrenia groups. More frequent exon inclusion and/or over-expression was observed in psychosis. Finally, these observations are reconciled with an analysis of the ontologies, the pathways and the protein domains significantly over-represented among the alternatively spliced genes, several of which support prior discoveries. Conclusions To our knowledge, this is the first blood-based spliceome-profiling study of schizophrenia and bipolar disorder to be reported. The battery of alternatively spliced genes and exons identified in this discovery-oriented exploratory study, if replicated, may have potential utility to discern the molecular subtypes of psychosis. Spliceome-profiling, as a new methodological approach in transcriptomics, warrants further work to evaluate its utility in personalized medicine. Potentially, this approach could also permit the future development of tissue-sampling methodologies in a form that is more acceptable to patients and thereby allow monitoring of dynamic and time-dependent plasticity in disease severity and response to therapeutic interventions in clinical psychiatry.

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