The DOI matches its Crossref record.
Insulin Inhibits the Pro-Inflammatory Transcription Factor Early Growth Response Gene-1 (Egr)-1 Expression in Mononuclear Cells (MNC) and Reduces Plasma Tissue Factor (TF) and Plasminogen Activator Inhibitor-1 (PAI-1) Concentrations
Abstract
We have recently demonstrated that an infusion of a low dose of insulin reduces the intranuclear NF-kappa B (a pro-inflammatory transcription factor) content in MNC while also reducing the plasma concentration of NF-kappa B dependent pro-inflammatory cytokines and adhesion molecules. We have now tested the effect of insulin on the pro-inflammatory transcription factor, early growth response-1 (Egr-1) and plasma concentration of tissue factor (TF) and plasminogen activator inhibitor-1 (PAI-1), two major proteins whose expression is modulated by Egr-1. Insulin was infused at the rate of 2 IU/h in 5% dextrose (100 mL/h) and KCI (8 mmol/h) for 4 h in the fasting state in ten obese subjects. Blood samples were obtained at 0, 2, 4 and 6 h. MNC were isolated and their total homogenates and nuclear fractions were prepared and Egr-1 was measured by electrophoretic mobility shift assay (EMSA). Plasma TF and PAI-1 were assayed by ELISA. There was a significant fall in Egr-1 at 2 (66 +/- 14% of basal level) and 4 h (47 +/- 17% of the basal level; P<0.01). PAI-1 levels (basal = 100%) decreased significantly after insulin infusion at 2 h (57 +/- 6.7% of the basal level) and at 4 h (58 +/- 8.3% of the basal level; P<0.001). Plasma TF levels (basal = 100%) decreased to 76 +/- 7.7% of the basal level at 2 h and to 85 +/- 10.4% of the basal level at 4 h (P<0.05). Thus, insulin reduces intranuclear Egr-1 and the expression of TF and PAI-1. These data provide further evidence that insulin has an anti-inflammatory effect including the inhibition of TF and PAI-1 expression. These effects suggest a potential beneficial effect of insulin in thrombin formation and fibrinolysis in atherothrombosis.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Inflammation: the link between insulin resistance, obesity and diabetes
Dandona, P. (2004) · Trends in Immunology · doi:10.1016/j.it.2003.10.013 · Cited by 2,170
Self-citationManagement of diabetes and hyperglycemia in hospitals.
Clement, S., Braithwaite, S. S., Magee, M. F., Ahmann, A., Smith, E. P., Schafer, R. G., Hirsch, I. B., & on behalf of the Diabetes in Hospitals Writing Committee (2004) · Diabetes Care · doi:10.2337/diacare.27.2.553 · Cited by 1,266
Dandona, P., Aljada, A., Chaudhuri, A., Mohanty, P., & Garg, R. (2005) · Circulation · doi:10.1161/01.cir.0000158483.13093.9d · Cited by 1,263
Self-citationStentz, F. B., Umpierrez, G. E., Cuervo, R., & Kitabchi, A. E. (2004) · Diabetes · doi:10.2337/diabetes.53.8.2079 · Cited by 497
Tissue Factor in Cardiovascular Diseases: Molecular Mechanisms and Clinical Implications
Steffel, J., Lüscher, T. F., & Tanner, F. C. (2006) · Circulation · doi:10.1161/circulationaha.105.567297 · Cited by 456
Innate immunity and inflammation in ageing: a key for understanding age-related diseases
Licastro, F., Candore, G., Lio, D., Porcellini, E., Colonna-Romano, G., Franceschi, C., & Caruso, C. (2005) · Immunity & Ageing · doi:10.1186/1742-4933-2-8 · Cited by 453
PAI-1 and the Metabolic Syndrome: Links, Causes, and Consequences
Alessi, M.-C., & Juhan-Vague, I. (2006) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.0000242905.41404.68 · Cited by 390
Plasminogen activator inhibitor-1, inflammation, obesity, insulin resistance and vascular risk
Juhan-Vague, I., Alessi, M.-C., Mavri, A., & Morange, P. E. (2003) · Journal of Thrombosis and Haemostasis · doi:10.1046/j.1538-7836.2003.00279.x · Cited by 371
Inflammatory Process in Type 2 Diabetes: The Role of Cytokines
ALEXANDRAKI, K., PIPERI, C., KALOFOUTIS, C., SINGH, J., ALAVERAS, A., & KALOFOUTIS, A. (2006) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1372.039 · Cited by 309
The Metabolic Syndrome and Inflammation
Sutherland, J. P., McKinley, B., & Eckel, R. H. (2004) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2004.2.82 · Cited by 243
New insights into the role of adipose tissue in thrombosis
Vilahur, G., Ben-Aicha, S., & Badimon, L. (2017) · Cardiovascular Research · doi:10.1093/cvr/cvx086 · Cited by 216
Fatty acids and the metabolic syndrome
Roche, H. M. (2005) · Proceedings of The Nutrition Society · doi:10.1079/pns2004405 · Cited by 113
Biobaku, F., Ghanim, H., Batra, M., & Dandona, P. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-01833 · Cited by 104
Self-citationGhanim, H., Aljada, A., Daoud, N., Deopurkar, R., Chaudhuri, A., & Dandona, P. (2007) · Diabetologia · doi:10.1007/s00125-006-0508-9 · Cited by 96
Perioperative management of hyperglycemia and diabetes in cardiac surgery patients
Galindo, R. J., Fayfman, M., & Umpierrez, G. E. (2018) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2017.10.005 · Cited by 95
Metadata
- Authors
- Aljada, A.
- Venue
- Journal of Clinical Endocrinology & Metabolism
- Publisher
- The Endocrine Society
- Published
- 2002-03-01
- Volume
- 87
- Issue
- 3
- Pages
- 1419-1422
- ISSN
- 0021-972X (ISSN-L)
- OpenAlex
- W2080897456
- Cited by
- 267
- References
- 0
- FWCI
- 10.69
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
