Obesity induced low-grade inflammation (metaflammation) impairs insulin receptor signaling (IRS). This has been implicated in the development of insulin resistance. Insulin signaling in the target tissues is mediated by stress kinases such as p38 mitogen-activated protein kinase (MAPK), c-Jun NH2-terminal kinase (JNK), inhibitor of NF-kB kinase complex beta (IKKβ), AMP activated protein kinase (AMPK), protein kinase C (PKC), Rho associated coiled-coil containing protein kinase (ROCK) and RNA-activated protein kinase (PKR), etc. Most of these kinases phosphorylate several key regulators in glucose homeostasis. The phosphorylation of serine residues in the insulin receptor (IR) and IRS-1 molecule results in diminished enzymatic activity in the phosphatidylinositol 3-kinase (PI3K)/Akt pathway. This has been one of the key mechanisms observed in the tissues that are implicated in insulin resistance especially in Type II Diabetes Mellitus (T2-DM). Identifying the specific protein kinases involved in obesity induced chronic inflammation may help in developing the targeted drug therapies to minimize the insulin resistance. This review is focused on the protein kinases involved in the inflammatory cascade and molecular mechanisms and their downstream targets with special reference to obesity induced T2-DM.
Objective To determine the relationship between increased triggering receptor expressed on myeloid cells (TREM)-1 and plaque stability in atherosclerotic carotid stenosis. Methods The mRNA transcripts and protein for TREM-1, MMP-1, MMP-9, collagen type I (COL1A1) and collagen type III (COL3A1) were analyzed by qPCR and immunofluorescence in both tissues and VSMCs isolated from atherosclerotic carotid plaques of symptomatic and asymptomatic patients with carotid stenosis. Results The TREM-1, MMP-1 and MMP-9 mRNA transcripts were significantly increased (TREM-1, p<0.01; MMP-1, p<0.01 and MMP-9, p<0.001) while COL1A1 and COL3A1 mRNA transcripts were decreased (p<0.001) in VSMCs isolated from carotid plaques of symptomatic (S) than asymptomatic (AS) patients. Stimulation of cells with TNF-α further increased the mRNA transcripts of TREM-1, MMPs, COL1A1 and COL3A1. Modulation of TREM-1 by treatment with TREM-1 decoy receptor rTREM-1/Fc, and either TREM-1 antibodies or TREM-1 siRNA attenuated the TNF-α induced expression of MMP-1 and MMP-9 (p<0.01) and COL1A1 and COL3A1 (p<0.01) in S compared to AS VSMCs isolated from carotid plaques. Inhibition of NF-kB (BAY 11-7085), JNK (SP600125) and PI3K (LY294002) signaling pathways decreased the expression of TREM-1 (p<0.01), MMP-1 (p<0.001) and MMP-9 (p<0.01) in TNF-α treated VSMCs isolated from S carotid plaques compared to AS patients. Conclusion Increased expression of TREM-1 in S compared to AS patients involving MMP-1 and MMP-9 suggest a potential role of TREM-1 in plaque destabilization. Selective blockade of TREM-1 may contribute to the development of new therapies and promising targets for stabilizing vulnerable atherosclerotic plaques.
Infection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes COVID-19, a disease that involves significant lung tissue damage. How SARS-CoV-2 infection leads to lung injury remains elusive. The open reading frame 8 (ORF8) protein of SARS-CoV-2 (ORF8SARS-CoV-2) is a unique accessory protein, yet little is known about its cellular function. We examined the cellular distribution of ORF8SARS-CoV-2 and its role in the regulation of human lung epithelial cell proliferation and antiviral immunity. Using live imaging and immunofluorescent staining analyses, we found that ectopically expressed ORF8SARS-CoV-2 forms aggregates in the cytosol and nuclear compartments of lung epithelial cells. Using in silico bioinformatic analysis, we found that ORF8SARS-CoV-2 possesses an intrinsic aggregation characteristic at its N-terminal residues 1-18. Cell culture did not reveal any effects of ORF8SARS-CoV-2 expression on lung epithelial cell proliferation and cell cycle progression, suggesting that ORF8SARS-CoV-2 aggregates do not affect these cellular processes. Interestingly, ectopic expression of ORF8SARS-CoV-2 in lung epithelial cells suppressed basal expression of several antiviral molecules, including DHX58, ZBP1, MX1, and MX2. In addition, expression of ORF8SARS-CoV-2 attenuated the induction of antiviral molecules by IFNγ but not by IFNβ in lung epithelial cells. Taken together, ORF8SARS-CoV-2 is a unique viral accessory protein that forms aggregates when expressing in lung epithelial cells. It potently inhibits the expression of lung cellular anti-viral proteins at baseline and in response to IFNγ in lung epithelial cells, which may facilitate SARS-CoV-2 escape from the host antiviral innate immune response during early viral infection. In addition, it seems that formation of ORF8SARS-CoV-2 aggregate is independent from the viral infection. Thus, it would be interesting to examine whether any COVID-19 patients exhibit persistent ORF8 SARS-CoV-2 expression after recovering from SARS-CoV-2 infection. If so, the pathogenic effect of prolonged ORF8SARS-CoV-2 expression and its association with post-COVID symptoms warrant investigation in the future.
BackgroundTREM-1 acts as an amplifier of inflammation expressed on macrophages. The objective of this study was to evaluate the relationship between TREM-1 and macrophage polarization, and association of TREM-1 and M1 macrophage polarization with insulin resistance (IR) in obese population compared to non-obese population.MethodsWe enrolled 38 patients after obtaining IRB approval for this study. We evaluated the mRNA and protein expression levels of general macrophage marker (CD68), M1 marker (CD86, CCR7, iNOS, IFNγ, TNF-α and IL-6,), M2 marker (CD206, CD163, IL-10, IL-4) and chemokine axis (MCP-1, CCR2 and CCR5) along with TREM-1 and TREM-2 in omentum fat, subcutaneous fat, and liver biopsy tissues of non-obese (N = 5), obese non-diabetics, (N = 16) and obese diabetics (N = 17).ResultsThe results of our study showed over-expression of TREM-1, M1 markers and down-regulation of TREM-2 and M2 markers in the omentum, subcutaneous and liver biopsies of obese patients (diabetics and non-diabetics) compared to non-obese patients. Overall, the obese diabetic group showed a significant (p < 0.05) higher number of patients with over expression of M1 markers (TREM-1, CD68, CD86, CCR-7, iNOS, IFN-γ, TNF-α, IL-6, MCP-1, CCR-2 and CCR-5) and down-regulation of M2 markers (CD206, CD163 and IL-4) in liver biopsy compared to obese non-diabetics.ConclusionsTREM-1 expression is significantly increased along with the M1 markers in liver biopsy of obese diabetic (17/17) and obese non-diabetic patients (9/16). Our data suggests that TREM-1 overexpression and M1 macrophage polarization are associated with obesity-induced IR.
Collagen is one of the most widely used biomaterial for various biomedical applications. In this Research Article, we present a novel approach of using collagen hydrolysate, smaller fragments of collagen, as an alternative to traditionally used collagen scaffold. Collagen hydrolysate composite scaffold (CHCS) was fabricated with sol-gel transition procedure using tetraethoxysilane as the silica precursor. CHCS exhibits porous morphology with pore sizes varying between 380 and 780 μm. Incorporation of silica conferred CHCS with controlled biodegradation and better water uptake capacity. Notably, 3T3 fibroblast proliferation was seen to be significantly better under CHCS treatment when compared to treatment with collagen scaffold. Additionally, CHCS showed excellent antimicrobial activity against the wound pathogens Staphylococcus aureus, Bacillus subtilis, and Escherichia coli due to the inherited antimicrobial activity of collagen hydrolysate. In vivo wound healing experiments with full thickness excision wounds in rat model demonstrated that wounds treated with CHCS showed accelerated healing when compared to wounds treated with collagen scaffold. These findings indicate that the CHCS scaffold from collagen fragments would be an effective and affordable alternative to the traditionally used collagen structural biomaterials.
Objective Triggering receptor expressed on myeloid cells (TREM)-1 has recently been recognized as one of the potent amplifiers of acute and chronic inflammation. However, exact role of TREM-1 in regard to insulin insensitivity is unknown. Methods We examined the mRNA transcripts and protein expression of TREM-1, TREM-2 and TREM-1/TREM-2 ratio in the tissue biopsies (liver, omentum and subcutaneous fat) and blood samples (neutrophils and monocytes) of subjects with obesity and diabetes (SO+D+; n=15), subjects with obesity but not diabetes (SO+D−; n=7), and compared with the subjects without obesity (BMI < 30) and diabetes (SO−D−; n=5). Results The immunofluorescence and RT-PCR revealed significant increase in TREM-1, decrease in TREM-2, and increase in the TREM1/TREM2 ratio in SO+D+ group compared to other groups. Overall, increased liver TREM-1 expression and soluble-TREM-1 were found in SO+D+ group compared to SO+D− group (100% vs 57.14%, r=0.582; P=0.023). TREM-1 was significantly increased in all subjects with obesity, those had HOMA-IR index of >2. Conclusions TREM-1 was found to be significantly higher in tissues biopsies and blood of subjects with obesity. Greater expression and activity of TREM-1 suggests a possible role in the underlying pathophysiology of obesity and associated co-morbidities.
The data described herein are related to the article entitled “Tumor necrosis factor-α regulates triggering receptor expressed on myeloid cells-1-dependent matrix metalloproteinases in the carotid plaques of symptomatic patients with carotid stenosis” (Rao et al., 2016) [1]. Additional data are provided on the dose–response effect of TNF-α, TREM-1 antibody and recombinant rTREM-1/Fc fusion chimera (TREM-1/FC) on the expression of MMP-1 and MMP-9 in vascular smooth muscle cells (VSMCs) isolated from human carotid endarterectomy tissues. Data are also presented on the distribution of CD86+ M1- and CD206+ M2-macrophages and their co-localization with TREM-1 in symptomatic carotid plaques as visualized by dual immunofluorescence. The interpretation of this data and further extensive insights can be found in Rao et al. (2016) [1].
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