| Literature DB >> 27378943 |
Liu Liu1, Xiangrong Geng1, Joseph McDermott1, Jian Shen2, Cody Corbin1, Stephanie Xuan1, Jae Kim1, Li Zuo3, Zijuan Liu1.
Abstract
Tumor necrosis factor (TNF)-α is a well-known pro-inflammatory cytokine. Increased expression of Tnf-α is a feature of inflammatory lung diseases, such as asthma, emphysema, fibrosis, and smoking-induced chronic obstructive pulmonary disease (COPD). Using a mouse line with lung-specific Tnf-α overexpression (SPC-TNF-α) to mimic TNF-α-associated lung diseases, we investigated the role of chronic inflammation in the homeostasis of lung trace elements. We performed a quantitative survey of micronutrients and biometals, including copper (Cu), zinc (Zn), and selenium (Se), in the transgenic mice tissues. We also examined the expression of Cu-dependent proteins in the inflammatory lung tissue to determine whether they were affected by the severe Cu deficiency, including cuproenzymes, Cu transporters, and Cu chaperones. We found consistent lung-specific reduction of the metal Cu, with a mean decrease of 70%; however, Zn and Se were unaffected in all other tissues. RT-PCR showed that two Cu enzymes associated with lung pathology were downregulated: amine oxidase, Cu containing 3 (Aoc3) and lysyl oxidase (Lox). Two factors, vascular endothelial growth factor (Vegf) and focal adhesion kinase (Fak), related with Cu deficiency treatment, showed decreased expression in the transgenic inflammatory lung. We concluded that Cu deficiency occurs following chronic TNF-α-induced lung inflammation and this likely plays an essential role in the inflammation-induced lung damage. These results suggest the restoration of lung Cu status as a potential strategy in both treatment and prevention of chronic lung inflammation and related disorders.Entities:
Keywords: COPD; biometals; inflammation; micronutrients; oxidative stress
Year: 2016 PMID: 27378943 PMCID: PMC4906028 DOI: 10.3389/fphys.2016.00234
Source DB: PubMed Journal: Front Physiol ISSN: 1664-042X Impact factor: 4.566
DNA sequence of primers used to detect gene expression by semi-quantitative RT-PCR.
| Cu transporter | GGGCTTGGTAGAAGTCCGTA | GAAAGTATCCCGTCCCAGCC | |
| CCGCAATCCTAGTCGAGTCC | GTGGTCTGTCCCCTAAAGGC | ||
| GTGGGCTGGGAAAGCCG | GTGCTGTGCTCTTCACAAGC | ||
| GATGAAAGGACAGACGGCCA | TGCACTGCTCTTCATCCCTG | ||
| Cu chaperon | GAACCATCGACGGCCTAGAG | GCTACAGCACTTATCTGCCCT | |
| ACTGCCCGTGTGTGCC | GCCAAGGTAGGAAACAGCCT | ||
| CAGGGTAGTCGGAGTTTGGG | TCACAAAGTAGGCCACCACG | ||
| Cu protein | AACCATCCACTTCGAGCA | CAATCCCAATCACTCCAC | |
| TGGGTTTTACCCTCACCCCAT | TCCGGTTGCCAAGGTACAAT | ||
| AGGGCGGATGTCAGAGACTA | AATCCCTGTGTGTGTGCAGT | ||
| Other genes | CCAATGTGTCCGTCGTGGATCT | GTTGAAGTCGCAGGAGACAACC | |
| TAGCCCACGTCGTAGCA | GGGGTCAGAGTAAAGGGGTC | ||
| ACTGGACCCTGGCTTTACTG | CTTGCGCTTTCGTTTTTGACC | ||
| AGCTTCAGCCCCAGGAAATC | TGCTGATGAGCTCGCCTAAG |
Figure 1Representative lung morphology images showing the difference in size and color between H&E-stained lung sections of wild-type and SPC-TNF-α mice.
Figure 2Mean data comparing the (A) mean linear intercept (MLI) and (B) body weight between wild-type (. Data are expressed as mean ± SE. **Significantly different from control (p < 0.01).
Figure 3Mean data showing the concentrations of (A) selenium (. Mice tissues were isolated and digested, then quantified by ICP-MS. Concentrations were standardized using “wet” weight concentration (ng Se/mg tissue). Data are expressed as mean ± SE. *Significantly different from control (p < 0.05).
Figure 4Representative gel images showing the expression of genes involved in Cu trafficking (transporters and chaperones) and several Cu enzymes critical to immunity and ECM structure analysis in lung tissues from SPC-TNF-α and WT mice.
Figure 5Bar graph comparing the relative gene expression of WT and SPC-TNF-α lungs for two Cu transporters (. Expression was quantified by ImageJ based on the gel images. Data are expressed as mean ± SE. *Significantly different from control (p < 0.05). **Significantly different from control (p < 0.01).
Figure 6Schematic illustrating a putative mechanism underlying chronic inflammatory lung diseases involving Cu-deficiency-induced gene expression disruptions in TNF-α lungs. Tnf-α, tumor necrosis factor-α; Aoc3, amine oxidase, copper containing-3; Lox, lysyl oxidase; Vegf, vascular endothelial growth factor; Fak, focal adhesion kinase; Atp7a, copper-transporting P-type ATPase 7a.