The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Elevated Proinflammatory Cytokine Production by a Skewed T Cell Compartment Requires Monocytes and Promotes Inflammation in Type 2 Diabetes
Open accessAbstract
An appropriate balance between proinflammatory (Th17 and Th1) and anti-inflammatory (regulatory T cells [Tregs] and Th2) subsets of T cells is critical to maintain homeostasis and avoid inflammatory disease. Type 2 diabetes (T2D) is a chronic inflammatory disease promoted by changes in immune cell function. Recent work indicates T cells are important mediators of inflammation in a mouse model of T2D. These studies identified an elevation in the Th17 and Th1 subsets with a decrease in the Treg subset, which culminates in inflammation and insulin resistance. Based on these data, we tested the hypothesis that T cells in T2D patients are skewed toward proinflammatory subsets. Our data show that blood from T2D patients has increased circulating Th17 cells and elevated activation of Th17 signature genes. Importantly, T cells required culture with monocytes to maintain Th17 signatures, and fresh ex vivo T cells from T2D patients appeared to be poised for IL-17 production. T cells from T2D patients also have increased production of IFN-γ, but produce healthy levels of IL-4. In contrast, T2D patients had decreased percentages of CD4+ Tregs. These data indicate that T cells in T2D patients are naturally skewed toward proinflammatory subsets that likely promote chronic inflammation in T2D through elevated cytokine production. Potential therapies targeted toward resetting this balance need to be approached with caution due to the reciprocal relationship between Th17 cells and Tregs. Understanding the unique aspects of T2D T cells is essential to predict outcomes of such treatments.
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
Exploring the full spectrum of macrophage activation
Mosser, D. M., & Edwards, J. P. (2008) · Nature Reviews Immunology · doi:10.1038/nri2448 · Cited by 9,144
Ivanov, I. I., McKenzie, B. S., Zhou, L., Tadokoro, C. E., Lepelley, A., Lafaille, J. J., Cua, D. J., & Littman, D. R. (2006) · Cell · doi:10.1016/j.cell.2006.07.035 · Cited by 5,145
Interleukin-17 Family Members and Inflammation
Kolls, J. K., & Lindén, A. (2004) · Immunity · doi:10.1016/j.immuni.2004.08.018 · Cited by 2,372
Local and systemic insulin resistance resulting from hepatic activation of IKK-β and NF-κB
Cai, D., Yuan, M., Frantz, D. F., Melendez, P. A., Hansen, L., Lee, J., & Shoelson, S. E. (2005) · Nature Medicine · doi:10.1038/nm1166 · Cited by 2,245
Feuerer, M., Herrero, L., Cipolletta, D., Naaz, A., Wong, J., Nayer, A., Lee, J., Goldfine, A. B., Benoist, C., Shoelson, S., et al. (2009) · Nature Medicine · doi:10.1038/nm.2002 · Cited by 2,145
Yuan, M., Konstantopoulos, N., Lee, J., Hansen, L., Li, Z.-W., Karin, M., & Shoelson, S. E. (2001) · Science · doi:10.1126/science.1061620 · Cited by 1,884
Acosta-Rodriguez, E. V., Napolitani, G., Lanzavecchia, A., & Sallusto, F. (2007) · Nature Immunology · doi:10.1038/ni1496 · Cited by 1,857
Surface phenotype and antigenic specificity of human interleukin 17–producing T helper memory cells
Acosta-Rodriguez, E. V., Rivino, L., Geginat, J., Jarrossay, D., Gattorno, M., Lanzavecchia, A., Sallusto, F., & Napolitani, G. (2007) · Nature Immunology · doi:10.1038/ni1467 · Cited by 1,828
Obesity, Inflammation, and Insulin Resistance
Shoelson, S. E., Herrero, L., & Naaz, A. (2007) · Gastroenterology · doi:10.1053/j.gastro.2007.03.059 · Cited by 1,806
IKK-β links inflammation to obesity-induced insulin resistance
Arkan, M. C., Hevener, A. L., Greten, F. R., Maeda, S., Li, Z.-W., Long, J. M., Wynshaw-Boris, A., Poli, G., Olefsky, J., & Karin, M. (2005) · Nature Medicine · doi:10.1038/nm1185 · Cited by 1,773
Cited by
Inflammation as a link between obesity, metabolic syndrome and type 2 diabetes
Esser, N., Legrand-Poels, S., Piette, J., Scheen, A. J., & Paquot, N. (2014) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2014.04.006 · Cited by 1,981
Popkin, B. M., Du, S., Green, W. D., Beck, M. A., Algaith, T., Herbst, C. H., Alsukait, R. F., Alluhidan, M., Alazemi, N., & Shekar, M. (2020) · Obesity Reviews · doi:10.1111/obr.13128 · Cited by 1,150
Clinical characteristics and outcomes of patients with severe COVID-19 with diabetes
Yan, Y., Yang, Y., Wang, F., Ren, H., Zhang, S., Shi, X., Yu, X., & Dong, K. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2020-001343 · Cited by 572
The role of adipose tissue immune cells in obesity and low-grade inflammation
Mraz, M., & Haluzik, M. (2014) · Journal of Endocrinology · doi:10.1530/joe-14-0283 · Cited by 543
DeFuria, J., Belkina, A. C., Jagannathan-Bogdan, M., Snyder-Cappione, J., Carr, J. D., Nersesova, Y. R., Markham, D., Strissel, K. J., Watkins, A. A., Zhu, M., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1215840110 · Cited by 521
Self-citation
Metadata
- Authors
- Jagannathan-Bogdan, M., McDonnell, M. E., Shin, H., Rehman, Q., Hasturk, H., Apovian, C. M., & Nikolajczyk, B. S.
- Venue
- The Journal of Immunology
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-01
- Volume
- 186
- Issue
- 2
- Pages
- 1162-1172
- ISSN
- 0022-1767 (ISSN-L)
- 1550-6606
- OpenAlex
- W2167619945
- Cited by
- 417
- References
- 68
- FWCI
- 6.67
- 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: Elevated Proinflammatory Cytokine Production by a Skewed T Cell Compartment Requires Monocytes and Promotes Inflammation in Type 2 Diabetes. https://app.cochat.ai/papers/10.4049/jimmunol.1002615
- The paper
- Jagannathan-Bogdan, M., McDonnell, M. E., Shin, H., Rehman, Q., Hasturk, H., Apovian, C. M., & Nikolajczyk, B. S. (2011). Elevated Proinflammatory Cytokine Production by a Skewed T Cell Compartment Requires Monocytes and Promotes Inflammation in Type 2 Diabetes. The Journal of Immunology. https://doi.org/10.4049/jimmunol.1002615
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.
