The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Increased Monocytic Activity and Biomarkers of Inflammation in Patients With Type 1 Diabetes
Open accessAbstract
Type 1 diabetes is associated with increased vascular complications, and monocytes are pivotal cells in atherogenesis. However, there are few data on monocyte function and inflammation in type 1 diabetes. The aim of this study was to compare monocyte function and biomarkers of inflammation in type 1 diabetic subjects without macrovascular disease with that in matched control subjects (n = 52 per group). Fasting blood was obtained for biomarkers of inflammation (C-reactive protein [CRP], plasma-soluble cell adhesion molecules [CAMs], monocyte chemoattractant protein 1, nitrotyrosine, CD40 ligand [CD40L], and monocyte function). High-sensitive CRP, soluble intracellular adhesion molecule (sICAM), sCD40L, and nitrotyrosine levels were significantly elevated in type 1 diabetic subjects compared with in control subjects (P < 0.05). Monocyte superoxide anion release was significantly increased in the resting (37%; P < 0.05) and activated state (26%; P < 0.005) in type 1 diabetic compared with in control subjects. Monocyte interleukin (IL)-6 levels were significantly elevated in type 1 diabetic subjects compared with in control subjects in the resting state (51%; P < 0.05) and after lipopolysaccharide activation (31%; P < 0.01). Monocyte IL-1β levels were increased in the activated monocytes in type 1 diabetic compared with in control subjects. There were no significant differences in monocyte tumor necrosis factor levels or adhesion between the two groups. Thus type 1 diabetes is a proinflammatory state, as evidenced by increased levels of monocyte IL-6, superoxide anion, and plasma CRP, sICAM, sCD40L, and nitrotyrosine levels. These results have a major implication on our understanding of the role of inflammation in vasculopathies in type 1 diabetes.
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
Cites
Hwang, S.-J., Ballantyne, C. M., Sharrett, A. R., Smith, L. C., Davis, C. E., Gotto, A. M., & Boerwinkle, E. (1997) · Circulation · doi:10.1161/01.cir.96.12.4219 · Cited by 1,344
Oxidative damage to DNA in diabetes mellitus
Dandona, P., Thusu, K., Cook, S., Snyder, B., Makowski, J., Armstrong, D., & Nicotera, T. (1996) · The Lancet · doi:10.1016/s0140-6736(96)90013-6 · Cited by 787
Adhesion mechanisms regulating the migration of monocytes
Imhof, B. A., & Aurrand-Lions, M. (2004) · Nature Reviews Immunology · doi:10.1038/nri1375 · Cited by 584
C-Reactive Protein: Risk Marker or Mediator in Atherothrombosis?
Jialal, I., Devaraj, S., & Venugopal, S. K. (2004) · Hypertension · doi:10.1161/01.hyp.0000130484.20501.df · Cited by 568
Self-citationDetection of nitrotyrosine in the diabetic plasma: evidence of oxidative stress
Mercuri, F., Tonutti, L., Taboga, C., Ceriello, A., Assaloni, R., Motz, E., & Quagliaro, L. (2001) · Diabetologia · doi:10.1007/s001250100529 · Cited by 419
Martín-Gallán, P., Carrascosa, A., Gussinyé, M., & Domínguez, C. (2003) · Free Radical Biology and Medicine · doi:10.1016/s0891-5849(03)00185-0 · Cited by 398
Vascular biology of atherosclerosis: overview and state of the art
Libby, P. (2003) · The American Journal of Cardiology · doi:10.1016/s0002-9149(02)03143-0 · Cited by 361
Schalkwijk, C. G., Poland, D. C. W., van Dijk, W., Kok, A., Emeis, J. J., Dräger, A. M., Doni, A., van Hinsbergh, V. W. M., & Stehouwer, C. D. A. (1999) · Diabetologia · doi:10.1007/s001250051162 · Cited by 309
Libby, P., Nathan, D. M., Abraham, K., Brunzell, J. D., Fradkin, J. E., Haffner, S. M., Hsueh, W., Rewers, M., Roberts, B. T., Savage, P. J., et al. (2005) · Circulation · doi:10.1161/circulationaha.104.529651 · Cited by 265
Devaraj, S., & Jialal, I. (2000) · Free Radical Biology and Medicine · doi:10.1016/s0891-5849(00)00420-2 · Cited by 227
Self-citation
Cited by
Peroxynitrite: biochemistry, pathophysiology and development of therapeutics
Szabó, C., Ischiropoulos, H., & Radi, R. (2007) · Nature Reviews Drug Discovery · doi:10.1038/nrd2222 · Cited by 2,134
Reactive oxygen species (ROS) in macrophage activation and function in diabetes
Rendra, E., Riabov, V., Mossel, D. M., Sevastyanova, T., Harmsen, M. C., & Kzhyshkowska, J. (2019) · Immunobiology · doi:10.1016/j.imbio.2018.11.010 · Cited by 636
Impact of diabetes on cardiovascular disease: an update
Matheus, A. S. D. M., Tannus, L. R. M., Cobas, R. A., Palma, C. C. S., Negrato, C. A., & Gomes, M. D. B. (2013) · International Journal of Hypertension · doi:10.1155/2013/653789 · Cited by 547
High Glucose Induces Toll-Like Receptor Expression in Human Monocytes
Dasu, M. R., Devaraj, S., Zhao, L., Hwang, D. H., & Jialal, I. (2008) · Diabetes · doi:10.2337/db08-0564 · Cited by 435
Self-citationThe Role of Monocytes and Macrophages in Autoimmune Diseases: A Comprehensive Review
Ma, W.-T., Gao, F., Gu, K., & Chen, D.-K. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.01140 · Cited by 361
Metadata
- Authors
- Devaraj, S., Glaser, N., Griffen, S., Wang-Polagruto, J., Miguelino, E., & Jialal, I.
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2006-03-01
- Volume
- 55
- Issue
- 3
- Pages
- 774-779
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2097703150
- Cited by
- 294
- References
- 40
- FWCI
- 11.07
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Increased Monocytic Activity and Biomarkers of Inflammation in Patients With Type 1 Diabetes. https://app.cochat.ai/papers/10.2337/diabetes.55.03.06.db05-1417
- The paper
- Devaraj, S., Glaser, N., Griffen, S., Wang-Polagruto, J., Miguelino, E., & Jialal, I. (2006). Increased Monocytic Activity and Biomarkers of Inflammation in Patients With Type 1 Diabetes. Diabetes. https://doi.org/10.2337/diabetes.55.03.06.db05-1417
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.
