Serum interleukin-8 level is increased in diabetic patients

Zozulińska, Dorota; Majchrzak, Anna; Sobieska, Magdalena; Wiktorowicz, K; Wierusz‐Wysocka, Bogna

doi:10.1007/s001250051124

Cited by 100 publications

(19 citation statements)

References 4 publications

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“…It is stimulated by high glucose concentrations in endothelial cells in vitro and has chemotactic activity for polymorphonuclear neutrophils (playing an important role in the pathogenesis of chronic complications of diabetes), as well as for T-lymphocyte and smooth muscle cells. Serum IL-8 level was reported to markedly increase in diabetic patients (Zozulinska et al 1999). We observed it in our study and it is also reported in the literature that one of the effects of rosiglitazone treatment is to reduce apparent inflammation associated with obesity and diabetes (Belvisi et al 2006).…”

Section: Biological Contextualizationsupporting

confidence: 77%

Multivariate classification analysis of metabolomic data for candidate biomarker discovery in type 2 diabetes mellitus

et al. 2008

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Recent advances in genomics, metabolomics and proteomics have made it possible to interrogate disease pathophysiology and drug response on a systems level. The analysis and interpretation of the complex data obtained using these techniques is potentially fertile but equally challenging. We conducted a small clinical trial to explore the application of metabolomics data in candidate biomarker discovery. Specifically, serum and urine samples from patients with type 2 diabetes mellitus (T2DM) were profiled on metabolomics platforms before and after 8 weeks of treatment with one of three commonly used oral antidiabetic agents, the sulfonyurea glyburide, the biguanide metformin, or the thiazolidinedione rosiglitazone. Multivariate classification techniques were used to detect serum or urine analytes, obtained at baseline (pre-treatment) that could predict a significant treatment response after 8 weeks. Using this approach, we identified three analytes, measured at baseline, that were associated with response to a thiazolidinedione after 8 weeks of treatment. Although larger and longer-term studies are required to validate any of the candidate biomarkers, pharmacometabolomic profiling, in combination with multivariate classification, is worthy of further exploration as an adjunct to clinical decision making regarding treatment selection and for patient stratification within clinical trials.

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Section: Biological Contextualizationsupporting

confidence: 77%

Multivariate classification analysis of metabolomic data for candidate biomarker discovery in type 2 diabetes mellitus

et al. 2008

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“…Evidences show the alteration in TNF- α and IL-6 level without any stimuli in DM type 1 and DM type 2, respectively. However, under similar condition IL-8 concentration was altered in both DM type 1 and DM type 2 [37, 38]. In the presence of stimuli, such as LPS, the IL-1 secretion of PBMC was found to be downregulated in both type 1 and 2 diabetic PBMC but no difference was found in the level of TNF- α [39].…”

Section: Dm Enhances Susceptibility To Tb Infectionmentioning

confidence: 99%

Diabetes Mellitus as Hub for Tuberculosis Infection: A Snapshot

Pal

Ansari

Hameed

et al. 2016

International Journal of Chronic Diseases

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Tuberculosis (TB) still remains the thorn in the flesh of efficient therapeutics affecting one-third of global population annually. There are several factors that enhance the susceptibility to TB infections including malnutrition, smoking, and immunocompromised conditions such as AIDS. In the recent years, growing body of evidence has gained considerable prominence which suggests that Diabetes Mellitus (DM) is individual risk factor leading to complicated TB infections. In this article the authors have attempted to summarize the link of type 2 DM with TB, the mechanistic action of how DM sensitizes for developing the active TB infection from the latent infection, and problems faced during treatment followed by possible preventive measures. We have tried to give account of the alterations that occurred in DM making a person more prone to develop TB.

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“…Diabetes is associated with elevations in C-reactive protein (CRP) [46], tumour necrosis factor alpha (TNF-α) [47], interleukin (IL)-6 [46] and IL-8 [48], but no differences are seen in circulating cell surface markers or coagulation markers between patients with and without diabetes in the context of sepsis. In a cohort of 1,799 patients with community-acquired pneumonia (CAP) [49], concentrations of pro-inflammatory cytokines (TNF-α, IL-6 and IL-10), coagulation (anti-thrombin, Factor IX and thrombin–anti-thrombin complexes) and fibrinolysis (PAI-1 and D-dimer) biomarkers were similar in subjects with and without diabetes at presentation and in the first week of hospitalisation [49].…”

Section: Diabetes and The Immune Systemmentioning

confidence: 99%

The impact of diabetes on the pathogenesis of sepsis

Koh

Peacock

Poll

et al. 2011

Eur J Clin Microbiol Infect Dis

189

129

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Diabetes is associated with an increased susceptibility to infection and sepsis. Conflicting data exist on whether the mortality of patients with sepsis is influenced by the presence of diabetes, fuelling the ongoing debate on the benefit of tight glucose regulation in patients with sepsis. The main reason for which diabetes predisposes to infection appears to be abnormalities of the host response, particularly in neutrophil chemotaxis, adhesion and intracellular killing, defects that have been attributed to the effect of hyperglycaemia. There is also evidence for defects in humoral immunity, and this may play a larger role than previously recognised. We review the literature on the immune response in diabetes and its potential contribution to the pathogenesis of sepsis. In addition, the effect of diabetes treatment on the immune response is discussed, with specific reference to insulin, metformin, sulphonylureas and thiazolidinediones.

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Serum interleukin-8 level is increased in diabetic patients

Cited by 100 publications

References 4 publications

Multivariate classification analysis of metabolomic data for candidate biomarker discovery in type 2 diabetes mellitus

Multivariate classification analysis of metabolomic data for candidate biomarker discovery in type 2 diabetes mellitus

Diabetes Mellitus as Hub for Tuberculosis Infection: A Snapshot

The impact of diabetes on the pathogenesis of sepsis

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