| Literature DB >> 25658879 |
Michael J Bannon1, Candace L Savonen1, Zachary J Hartley1, Magen M Johnson1, Carl J Schmidt2.
Abstract
The development of new therapeutic strategies for the treatment of complex brain disorders such as drug addiction is likely to be advanced by a more complete understanding of the underlying molecular pathophysiology. Although the study of postmortem human brain represents a unique resource in this regard, it can be challenging to disentangle the relative contribution of chronic pathological processes versus perimortem events to the observed changes in gene expression. To begin to unravel this issue, we analyzed by quantitative PCR the midbrain expression of numerous candidate genes previously associated with cocaine abuse. Data obtained from chronic cocaine abusers (and matched control subjects) dying of gunshot wounds were compared with a prior study of subjects with deaths directly attributable to cocaine abuse. Most of the genes studied (i.e., tyrosine hydroxylase, dopamine transporter, forkhead box A2, histone variant H3 family 3B, nuclear factor kappa B inhibitor alpha, growth arrest and DNA damage-inducible beta) were found to be differentially expressed in chronic cocaine abusers irrespective of immediate cause of death or perimortem levels of cocaine, suggesting that these may represent core pathophysiological changes arising with chronic drug abuse. On the other hand, chemokine C-C motif ligand 2 and jun proto-oncogene expression were unaffected in cocaine-abusing subjects dying of gunshot wounds, in contrast to the differential expression previously reported in cocaine-related fatalities. The possible influence of cause of death and other factors on the cocaine-responsiveness of these genes is discussed.Entities:
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Year: 2015 PMID: 25658879 PMCID: PMC4319936 DOI: 10.1371/journal.pone.0117580
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Case characteristics.
| Cause of Death | Age | Race/Sex | Cocaine (μg/mL) | Benzoylecgonine (μg/mL) | Brain pH | RIN | |
|---|---|---|---|---|---|---|---|
| Control Cases | GSW | 20 | BM | 0 | 0 | 6.9 | 7.3 |
| MGSW | 25 | BM | 0 | 0 | 6.5 | 6.7 | |
| MGSW | 25 | BM | 0 | 0 | 6.8 | 6.9 | |
| GSW | 30 | BM | 0 | 0 | 6.7 | 6.2 | |
| GSW | 34 | WM | 0 | 0 | 6.8 | 7.0 | |
| GSW | 37 | BM | 0 | 0 | 6.8 | 7.1 | |
| MGSW | 39 | BM | 0 | 0 | 6.4 | 7.1 | |
| MGSW | 45 | BM | 0 | 0 | 6.8 | 6.7 | |
| Mean ± S.E. | 32 ± 8 | 0 ± 0 | 0 ± 0 | 6.7 ± 0.05 | 6.9 ± 0.11 | ||
| Cocaine Cases | MGSW | 25 | BM | 0.76 | 1.70 | 6.6 | 6.5 |
| GSW | 25 | BM | <0.025 | 1.50 | 6.5 | 6.7 | |
| MGSW | 30 | BM | 0.70 | 2.70 | 6.8 | 7.0 | |
| GSW | 34 | BM | <0.025 | 0.84 | 6.5 | 7.4 | |
| MGSW | 34 | WM | 0.05 | 1.60 | 6.7 | 6.8 | |
| GSW | 34 | WM | 0.04 | 4.20 | 6.3 | 7.2 | |
| MGSW | 35 | BM | 0.17 | 1.10 | 6.7 | 6.8 | |
| GSW | 36 | BM | 0.04 | 0.53 | 6.7 | 6.6 | |
| MGSW | 38 | BM | 0.19 | 3.50 | 6.3 | 6.8 | |
| GSW | 40 | BM | 0.16 | 1.80 | 6.5 | 7.7 | |
| Mean ± S.E. | 33 ± 5 | 0.26 ± 0.29 | 1.7 ± 0.98 | 6.6 ± 0.05 | 6.9 ± 0.11 |
Abbreviations: BM, black male; GSW, gunshot wound; MGSW, multiple gunshot wounds; RIN, RNA integrity number; WM, white male.
Fig 1Differential gene expression in the midbrain of human cocaine abusers
. Transcript abundances were quantified in specimens from cocaine abusers and control subjects. All subjects died of gunshot wounds (see Table 1 as well as Materials and Methods for case characteristics). Data from cocaine abusers are expressed as a percentage (mean + SEM) of control subjects. * p<0.05; ** p<0.005 by 1-tailed t-test for independent means. Abbreviations: ACTB, actin; TH, tyrosine hydroxylase; DAT, dopamine transporter; FOXA2, forkhead box A2; H3F3B, histone variant H3, family 3B; NFKBIA, nuclear factor kappa B inhibitor alpha; GADD45B, growth arrest and DNA damage-inducible beta; CCL2, chemokine C-C motif ligand 2; JUN, jun proto-oncogene.
Fig 2Correlation between the differential gene expression seen in cocaine abusers independent of cause of death.
Differentially expressed genes from Fig. 1 are plotted against published microarray data from a different cohort of cocaine abusers [5] as fold-differences. Pearson’s correlation R2 = 0.99, p<0.001.
Absence of correlation between transcript abundances and cocaine or benzoylecgonine levels.
| ACTB | TH | DAT | FOXA2 | H3F3B | NFKBIA | GADD45B | CCL2 | JUN | ||
|---|---|---|---|---|---|---|---|---|---|---|
| Cocaine | R value | -0.15 | -0.08 | 0.04 | -0.13 | -0.56 | -0.51 | -0.36 | -0.43 | -0.50 |
| p-value (2 tailed) | 0.69 | 0.83 | 0.91 | 0.73 | 0.09 | 0.13 | 0.31 | 0.21 | 0.14 | |
| Benzoylecgonine | R value | 0.20 | -0.11 | -0.07 | -0.07 | -0.30 | -0.58 | 0.55 | 0.47 | 0.58 |
| p-value (2 tailed) | 0.59 | 0.76 | 0.84 | 0.86 | 0.39 | 0.08 | 0.10 | 0.17 | 0.08 |