| Literature DB >> 27328939 |
Tonje Skarpengland1,2, Sverre Holm1, Katja Scheffler3,4,5, Ida Gregersen1,2, Tuva B Dahl1,2,6, Rajikala Suganthan7, Filip M Segers1, Ingunn Østlie8, Jeroen J T Otten9, Luisa Luna7, Daniel F J Ketelhuth10, Anna M Lundberg10, Christine G Neurauter7, Gunn Hildrestrand7, Mona Skjelland11, Bodil Bjørndal12, Asbjørn M Svardal12, Per O Iversen4,13,14, Ulf Hedin15, Ståle Nygård5, Ole K Olstad16, Kirsten Krohg-Sørensen2,17, Geir Slupphaug18,19, Lars Eide2,3, Anna Kuśnierczyk18,19, Lasse Folkersen20, Thor Ueland1,2,6, Rolf K Berge12,21, Göran K Hansson10, Erik A L Biessen9, Bente Halvorsen1,2,6, Magnar Bjørås2,7,19, Pål Aukrust1,2,6,22.
Abstract
Increasing evidence suggests that oxidative DNA damage accumulates in atherosclerosis. Recently, we showed that a genetic variant in the human DNA repair enzyme NEIL3 was associated with increased risk of myocardial infarction. Here, we explored the role of Neil3/NEIL3 in atherogenesis by both clinical and experimental approaches. Human carotid plaques revealed increased NEIL3 mRNA expression which significantly correlated with mRNA levels of the macrophage marker CD68. Apoe(-/-)Neil3(-/-) mice on high-fat diet showed accelerated plaque formation as compared to Apoe(-/-) mice, reflecting an atherogenic lipid profile, increased hepatic triglyceride levels and attenuated macrophage cholesterol efflux capacity. Apoe(-/-)Neil3(-/-) mice showed marked alterations in several pathways affecting hepatic lipid metabolism, but no genotypic alterations in genome integrity or genome-wide accumulation of oxidative DNA damage. These results suggest a novel role for the DNA glycosylase Neil3 in atherogenesis in balancing lipid metabolism and macrophage function, potentially independently of genome-wide canonical base excision repair of oxidative DNA damage.Entities:
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Year: 2016 PMID: 27328939 PMCID: PMC4916448 DOI: 10.1038/srep28337
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Regulation of NEIL3 in clinical carotid atherosclerosis.
(A) Relative NEIL3 expression in human control arteries (n = 10) and carotid atherosclerotic plaques (n = 106) from the Biobank of Karolinska Endarterectomies (BiKE), as evaluated by microarray. (B) Relative NEIL3 expression in human control arteries (n = 9) as well as in asymptomatic (n = 14) and symptomatic (n = 54) carotid plaques from the Biobank of Oslo, as evaluated by RT-qPCR. (C) The correlation between mRNA levels of NEIL3 and CD68 in carotid plaques (n = 67, Biobank of Oslo). (D) NEIL3 expression in THP-1 macrophages that were exposed to VLDL (25 μg/ml) and (E) cholesterol crystals (100 μg/ml) for 6 hours (n = 5–6). (F) Relative NEIL3 expression in PBMC isolated from healthy controls (n = 16) and patients with ischemic stroke (n = 15). mRNA levels in (B–F) were quantified by RT-qPCR and normalized to β-ACTIN. Experiments in (D,E) were repeated twice with similar findings. Data are presented as single values, median and interquartile range. *p < 0.05, **p < 0.01, ***p < 0.001 and ****p < 0.0001.
Figure 2Neil3 deficiency on an Apoe background augments atherosclerosis in male mice fed a high-fat diet.
(A) Representative en face images of the aortic arch stained with Sudan IV. (B) Data show en face % lesion area of Apoe (n = 11) and ApoeNeil3 (n = 9) mice. (C) Representative cryosections (10 μm) of the aortic root, stained with Oil Red O and hematoxylin. Original magnification 40X. (D) Relative lesion areas (lesion area/area inside external elastic lamina × 100) in cross-sections of the aortic root, calculated from 8 consecutive sections per mouse at 100 μm intervals in Apoe (n = 9) and ApoeNeil3 (n = 10) mice. (E) The graph shows the mean and SEM of relative lesion areas at 8 different positions in the aortic root; n = 9–11 (Apoe) and n = 10 (ApoeNeil3), respectively. *p < 0.05 and **p < 0.01 versus Apoe mice. (F) Necrotic core area as percentage of total plaque area in Apoe (n = 10) and ApoeNeil3 (n = 10) mice. Data in (B,D,F) are presented as single values, median and interquartile range and were analyzed using Mann-Whitney U test.
Figure 3Increased hepatic lipids in ApoeNeil3 mice.
Hepatic levels of (A) TG and (B) FA. (C) Representative images of liver histology of paraffin sections stained with hematoxylin and eosin. Panels (D–I) show the activity of hepatic enzymes involved in TG metabolism: Carnitine palmitoyltransferase-1 (Cpt-1), Cpt-2, Cpt-1 + malonyl, FA synthase (Fasn), glycerol-3-phosphate acyltransferase (Gpat) and acetyl-CoA carboxylase (Acc). Data are presented as single values, median and interquartile range.
Figure 4Neil3 deficiency modulates expression of hepatic genes.
(A) The numbers of genes that were significantly up- and downregulated in ApoeNeil3 as compared to Apoe mice by RNA sequencing analysis. (B) KEGG pathway enrichment analyses showing the top 15 pathways significantly enriched in differentially expressed genes (DEGs). Percentages were calculated based on the total number of genes (n = 570) with pathway annotations. Q values are FDR-adjusted p-values and a Q value <0.05 was considered as significant. RNA sequencing was performed on pooled RNA from the liver of 7 Apoe and 9 ApoeNeil3 mice.
Figure 5Decreased cholesterol efflux capacity in bone marrow-derived macrophages (BMDM) from ApoeNeil3 mice.
(A) Cholesterol efflux capacity of BMDM from Apoe (n = 7) and ApoeNeil3 (n = 6) mice, using pooled serum from C57BL/6 wild type mice (n = 4) as cholesterol acceptor. The experiment was repeated twice with similar findings. (B,C) mRNA levels of genes involved in cholesterol efflux mechanisms; (n = 6-7 [Abca7, Srb1 and Nr1h3] and n = 16–17 [Abcg1]). (D) BMBM were exposed to oxLDL (20 μg/ml) and 14C-cholesterol (0.5 μCi/ml) for 48 hours, washed with serum-free medium containing 0.2% BSA and the cells were lysed with 0.2 M NaOH. BMDM loading capacity was calculated as disintegrations per minute (dpm) per total protein. Values represent fractional (%) cholesterol efflux calculated as dpm (media)/dpm (media + cell-associated)] × 100. (E) mRNA levels of scavenger receptors in BMDM from Apoe (n = 6) and ApoeNeil3 (n = 3) mice. (F) Serum cholesterol acceptor capacity was evaluated by measuring cholesterol efflux from murine macrophages (RAW264.7 cells) using sera from Apoe (n = 7) and ApoeNeil3 (n = 6) mice as cholesterol acceptors. (G) The distribution of small plasma HDL cholesterol relative to all plasma HDL cholesterol. mRNA levels were quantified with RT-qPCR and normalized to β-actin as reference gene. Data are presented as single values, median and interquartile range. *p < 0.05.
Figure 6Similar levels of DNA damage but mtDNA copy number analysis and RNA sequencing suggest a reduction in lesional mitochondrial activity in ApoeNeil3 mice.
(A) Relative nuclear DNA damage and (B) relative mitochondrial DNA damage as evaluated by a qPCR-based method in liver (n = 7–9), aorta (n = 5–7) and plaques (n = 6–7). Values are normalized to nuclear and mitochondrial DNA damage in Apoe mice, respectively. (C,D) Accumulation of 8-oxodG and 5-OHdC in liver (n = 6–9) and aortas (n = 3–4), as evaluated by mass spectrometry. (E) Relative DNA damage level of promoter regions from Lcn2, Ucp1 and Lpl as evaluated by a qPCR-based method in liver (n = 8–9). Values are normalized to promoter DNA damage level in Apoe mice. (F) MtDNA copy number in liver (n = 7–9), aorta (n = 5–7) and plaques (n = 6–7) relative to the mtDNA levels in respective tissues of Apoe mice. In (C,D), aortic data are presented as mean ± SEM and were analyzed using Students’s t test. All other data in (A–F) are presented as median and interquartile range and were analyzed using Mann-Whitney U test; **p < 0.01. (G) Mitochondrial pathways significantly enriched in differentially expressed genes (DEGs) in aorta of Apoe and ApoeNeil3 mice, as evaluated by RNA sequencing. (H) Gene ontology (GO) enrichment analyses of DEGs showing an overrepresentation of genes associated with mitochondrial compartments in ApoeNeil3 as compared to Apoe mice.
Figure 7Neil3 deficiency promotes atherosclerosis in Apoe mice on a high-fat diet through effects on lipid metabolism and macrophages, potentially involving non-canonical effects.
Neil3Apoe mice show enhanced liver steatosis with increased TG levels, potentially caused by increased substrate availability (MUFA). Transcriptome analysis revealed marked alterations in hepatic pathways involved in lipid metabolism. The hepatic accumulation of lipids in ApoeNeil3 mice results in a hyperlipidemic plasma profile with subsequent enhanced atherosclerosis. Within the atherosclerotic lesion there is an accumulation of macrophages indicating increased lesional proliferation. The macrophages in Neil3Apoemice show attenuated cholesterol efflux capacity, further enhancing the metabolic stress within the plaque, contributing to altered mitochondrial biogenesis. The authors wish to acknowledge SERVIER Medical Art (www.servier.fr) for use of their medical art kits when making the illustration.