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. 2020 Sep:133:155126.
doi: 10.1016/j.cyto.2020.155126. Epub 2020 Jun 3.

Gene expression profiling reveals a lingering effect of prenatal alcohol exposure on inflammatory-related genes during adolescence and adulthood

Affiliations

Gene expression profiling reveals a lingering effect of prenatal alcohol exposure on inflammatory-related genes during adolescence and adulthood

Anny Gano et al. Cytokine. 2020 Sep.

Abstract

Prenatal Alcohol Exposure (PAE) exerts devastating effects on the Central Nervous System (CNS), which vary as a function of both ethanol load and gestational age of exposure. A growing body of evidence suggests that alcohol exposure profoundly impacts a wide range of cytokines and other inflammation-related genes in the CNS. The olfactory system serves as a critical interface between infectious/inflammatory signals and other aspects of CNS function, and demonstrates long-lasting plasticity in response to alcohol exposure. We therefore utilized transcriptome profiling to identify gene expression patterns for immune-related gene families in the olfactory bulb of Long Evans rats. Pregnant dams received either an ad libitum liquid diet containing 35% daily calories from ethanol (ET), a pair-fed diet (PF) matched for caloric content, or free choice (FCL) access to the liquid diet and water from Gestational Day (GD) 11-20. Offspring were fostered to dams fed the FCL diet, weaned on P21, and then housed with same-sex littermates until mid-adolescence (P40) or young adulthood (P90). At the target ages of P40 or P90, offspring were euthanized via brief CO2 exposure and brains/blood were collected. Gene expression analysis was performed using a Rat Gene 1.0 ST Array (Affymetrix), and preliminary analyses focused on two moderately overlapping gene clusters, including all immune-related genes and those related to neuroinflammation. A total of 146 genes were significantly affected by prenatal Diet condition, whereas the factor of Age (P40 vs P90) revealed 998 genes significantly changed, and the interaction between Diet and Age yielded 162 significant genes. From this dataset, we applied a threshold of 1.3-fold change (30% increase or decrease in expression) for inclusion in later analyses. Findings indicated that in adolescents, few genes were altered by PAE, whereas adults displayed an increase of a wide range of gene upregulation as a result of PAE. Pathway analysis predicted an increase in Nf-κB activation in adolescence and a decrease in adulthood due to prenatal ethanol exposure, indicating age-specific and long-lasting alterations to immune signaling. These data may provide important insight into the relationship between immune-related signaling cascades and long-term changes in olfactory bulb function after PAE.

Keywords: Cytokine; Ethanol; Neuroimmune; Olfactory bulb; Prenatal.

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Conflict of interest statement

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Figure 1.
Figure 1.. Experimental timeline and microarray summary.
This figure shows the (A) experimental schematic for this experiment detailing the timeline of manipulations. Baseline changes in gene expression revealed via microarray for the (B) adolescents and (C) adults are shown graphed as log2 transformation of fold change against the significance of findings. Triangles represent genes that did not change significantly, squares are genes that have shown greater than 1.2-fold change with a significance of p < 0.05, and stars are genes showing >1.3-fold change with a significance of p < 0.05. Selected genes are labeled in the graph based on significance and relevance of results, as follows: Ccr5 (C-C motif chemoki;ne receptor 5); Chi3l3 (chitinase-like 3); Dusp1 (dual specificity phosphatase 1); Egr1 (early growth hormone protein 1); F2 (prothrombin, aka coagulation factor 2); Gcnt (beta 1,6-Nacetylglucosaminyltransferase); Gzmb (granzyme B); Igrm (immunity-related GTPase family); IL-10 (interleukin-10); Junb (junb proto-oncogene, AP-1 transcription factor subunit); Mmp10 (matrix metallopeptidase 10); Nr4a1 (nuclear receptor subfamily group a member 1), 2, and 3; Rbpsuh (recombining binding protein suppressor of hairless); and Tpmt (thiopurine S-methyltransferase).
Figure 2.
Figure 2.. Nf-κB pathway prediction in adolescents.
This figure shows the predicted state of activation for the NF-κB (nuclear factor kappa-light-chain-enhancer of activated B cells) pathway in adolescents.
Figure 3.
Figure 3.. Nf-κB pathway prediction in adults.
This figure shows the predicted state of activation for the NF-κB (nuclear factor kappa-light-chain-enhancer of activated B cells) pathway in adults.
Figure 4.
Figure 4.. TLR pathway prediction in adults.
This figure shows the predicted state of activation for the TLR (Toll-like receptor) pathway in adults.
Figure 5.
Figure 5.. IL-6 pathway prediction in adults.
This figure shows the predicted state of activation for the IL-6 (Interleukin-6) pathway in adults.

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