Vásquez, Alejandro Arias

Background: Prior studies suggest an association between naturally high circulating levels of CD34+ cells (CD34) and better outcomes following ischemic events. Pts in the treatment arm of the PreSERVE-AMI study were infused with all CD34 yielded from their bone marrow harvest, resulting in pts with naturally higher CD34 cell counts being infused with a higher cell dose. To determine whether selection bias may have influenced results, we performed an analysis of the relationship between BM CD34 content and outcomes in PreSERVE-AMI. Methods: PreSERVE-AMI is a Phase 2, randomized, double-blind, placebo-controlled trial of autologous, BM derived CD34 (CLBS10) in pts with LV dysfunction (LVEF ≤48% by MRI) ≥4 days post-STEMI. All pts underwent mini BM harvest and were randomized 1:1 to intracoronary infusion of CD34 (minimum dose 10M±20% cells) or placebo (cell diluent). Primary safety endpoints included AEs, SAEs and MACE (CV mortality, HF hospitalization, reinfarction, revascularization). Secondary endpoints included LVEF change from baseline. Regression analyses were performed to assess the influence of BM CD34 content on outcomes. Results: 161 patients were randomized and received intracoronary infusion (Jan 2013-Dec 2014). Mean age was 57±10 and 82% were men. Mean follow-up time was 18 mo, and safety data are accruing. BM CD34 content was not associated with differences in baseline characteristics with the exception of diabetes prevalence being higher in those with higher BM CD34 count (p=0.03). In controls, regression analyses showed no association of BM CD34 content with rates of MACE (p=0.2), SAEs (p=0.4), or change in LVEF (p=0.9). However, in CD34 treated pts, there was a dose-dependent improvement in LV function (p=0.045) and dose-dependent trends in MACE and SAE reduction compared to controls. As previously reported SPECT perfusion improved to a similar degree in control and treated pts. Conclusions: These data suggest that intracoronary infusion of CD34 cells, rather than BM CD34 cell content, is responsible for the benefit observed in the CD34 treatment group. The finding of a dose-response relationship is an important advance for defining the CD34 as an active agent for tissue repair. Future studies will further define CD34 dosimetry.

INTRODUCTION The cerebral cortex underlies our complex cognitive capabilities. Variations in human cortical surface area and thickness are associated with neurological, psychological, and behavioral traits and can be measured in vivo by magnetic resonance imaging (MRI). Studies in model organisms have identified genes that influence cortical structure, but little is known about common genetic variants that affect human cortical structure. RATIONALE To identify genetic variants associated with human cortical structure at both global and regional levels, we conducted a genome-wide association meta-analysis of brain MRI data from 51,665 individuals across 60 cohorts. We analyzed the surface area and average thickness of the whole cortex and 34 cortical regions with known functional specializations. RESULTS We identified 369 nominally genome-wide significant loci ( P < 5 × 10 −8 ) associated with cortical structure in a discovery sample of 33,992 participants of European ancestry. Of the 360 loci for which replication data were available, 241 loci influencing surface area and 66 influencing thickness remained significant after replication, with 237 loci passing multiple testing correction ( P < 8.3 × 10 −10 ; 187 influencing surface area and 50 influencing thickness). Common genetic variants explained 34% (SE = 3%) of the variation in total surface area and 26% (SE = 2%) in average thickness; surface area and thickness showed a negative genetic correlation ( r G = −0.32, SE = 0.05, P = 6.5 × 10 −12 ), which suggests that genetic influences have opposing effects on surface area and thickness. Bioinformatic analyses showed that total surface area is influenced by genetic variants that alter gene regulatory activity in neural progenitor cells during fetal development. By contrast, average thickness is influenced by active regulatory elements in adult brain samples, which may reflect processes that occur after mid-fetal development, such as myelination, branching, or pruning. When considered together, these results support the radial unit hypothesis that different developmental mechanisms promote surface area expansion and increases in thickness. To identify specific genetic influences on individual cortical regions, we controlled for global measures (total surface area or average thickness) in the regional analyses. After multiple testing correction, we identified 175 loci that influence regional surface area and 46 that influence regional thickness. Loci that affect regional surface area cluster near genes involved in the Wnt signaling pathway, which is known to influence areal identity. We observed significant positive genetic correlations and evidence of bidirectional causation of total surface area with both general cognitive functioning and educational attainment. We found additional positive genetic correlations between total surface area and Parkinson’s disease but did not find evidence of causation. Negative genetic correlations were evident between total surface area and insomnia, attention deficit hyperactivity disorder, depressive symptoms, major depressive disorder, and neuroticism. CONCLUSION This large-scale collaborative work enhances our understanding of the genetic architecture of the human cerebral cortex and its regional patterning. The highly polygenic architecture of the cortex suggests that distinct genes are involved in the development of specific cortical areas. Moreover, we find evidence that brain structure is a key phenotype along the causal pathway that leads from genetic variation to differences in general cognitive function. Identifying genetic influences on human cortical structure. ( A ) Measurement of cortical surface area and thickness from MRI. ( B ) Genomic locations of common genetic variants that influence global and regional cortical structure. ( C ) Our results support the radial unit hypothesis that the expansion of cortical surface area is driven by proliferating neural progenitor cells. ( D ) Cortical surface area shows genetic correlation with psychiatric and cognitive traits. Error bars indicate SE. IMAGE CREDITS: (A) K. COURTNEY; (C) M. R. GLASS