Activation of the selenopritein SEPS1 gene expression by pro-inflammatory cytokines in Hep G2 cells

SEPS1 (also called selenoprotein S, SelS) plays an important role in the production of inflammatory cytokines and its expression is activated by endoplasmic reticulum (ER) stress. In this report, we have identified two binding sites for the nuclear factor kappa B in the human SEPS1 promoter. SEPS1 gene expression, protein levels and promoter activity were all increased 2–3-fold by TNF-α and IL-1β in HepG2 cells. We have also confirmed that the previously proposed ER stress response element GGATTTCTCCCCCGCCACG in the SEPS1 proximate promoter is fully functional and responsive to ER stress. However, concurrent treatment of HepG2 cells with IL-1β and ER stress produced no additive effect on SEPS1 gene expression. We conclude that SEPS1 is a new target gene of NF-κB. Together with our previous findings that SEPS1 may regulate cytokine production in macrophage cells, we propose a regulatory loop between cytokines and SEPS1 that plays a key role in control of the inflammatory response.

Conjugated linoleic acid suppresses myogenic gene expression in a model of human muscle cell inflammation

Proinflammatory cytokines, such as tumor necrosis factor (TNF)-{alpha}, contribute to muscle wasting in inflammatory disorders, where TNF{alpha} acts to regulate myogenic genes. Conjugated linoleic acid (CLA) has shown promise as an antiproliferative and antiinflammatory agent, leading to its potential as a therapeutic agent in muscle-wasting disorders. To evaluate the effect of CLA on myogenesis during inflammation, human primary muscle cells were grown in culture and exposed to varying concentrations of TNF{alpha} and the cis-9, trans-11 and trans-10, cis-12 CLA isomers. Expression of myogenic genes (Myf5, MyoD, myogenin, and myostatin) and the functional genes creatine kinase (CK) and myosin heavy chain (MHC IIx) were measured by real-time PCR. TNF{alpha} significantly downregulated MyoD and myogenin expression, whereas it increased Myf5 expression. These changes corresponded with a decrease in both CK and MHC IIx expression. Both isomers of CLA mimicked the inhibitory effect of TNF{alpha} treatment on MyoD and myogenin expression, whereas myostatin expression was diminished in the presence of both isomers of CLA either alone or in combination with TNF{alpha}. Both isomers of CLA decreased CK and MHC IIx expression. These findings demonstrate that TNF{alpha} can have specific regulatory effects on myogenic genes in primary human muscle cells. A postulated antiinflammatory role of CLA in myogenesis appears more complex, with an indication that CLA may have a negative effect on this process.

A gene expression signature for insulin resistance

Insulin resistance is a heterogeneous disorder caused by a range of genetic and environmental factors, and we hypothesize that its aetiology varies considerably between individuals. This heterogeneity provides significant challenges to the development of effective therapeutic regimes for long-term management of type 2 diabetes. We describe a novel strategy, using large-scale gene expression profiling, to develop a Gene Expression Signature (GES) that reflects the overall state of insulin resistance in cells and patients. The GES was developed from 3T3-L1 adipocytes that were made ‘insulin resistant’ by treatment with tumour necrosis factor-alpha (TNFα) and then reversed with aspirin and troglitazone (‘re-sensitized’). The GES consisted of five genes whose expression levels best discriminated between the insulin resistant and insulin re-sensitized states. We then used this GES to screen a compound library for agents that affected the GES genes in 3T3- L1 adipocytes in a way that most closely resembled the changes seen when insulin resistance was successfully reversed using aspirin and troglitazone. This screen identified both known and new insulin sensitizing compounds including non-steroidal anti inflammatory agents, β-adrenergic antagonists, beta-lactams and sodium channel blockers. We tested the biological relevance of this GES in participants in the San Antonio Family Heart Study (n = 1,240) and showed that patients with the lowest GES scores were more insulin resistant (according to HOMA_IR and fasting plasma insulin levels, P < 0.001). These findings show that GES technology can be used for both the discovery of insulin sensitizing compounds and the characterization of patients into subtypes of insulin resistance according to GES scores, opening the possibility of developing a personalized medicine approach to type 2 diabetes.