The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
CXCL10 Impairs β Cell Function and Viability in Diabetes through TLR4 Signaling
Open accessOverview
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
Inflammation, stress, and diabetes
Wellen, K. E., & Hotamisligil, G. S. (2005) · Journal of Clinical Investigation · doi:10.1172/jci25102 · Cited by 4,143
TLR4 links innate immunity and fatty acid-induced insulin resistance
Shi, H., Kokoeva, M. V., Inouye, K., Tzameli, I., Yin, H., & Flier, J. S. (2006) · Journal of Clinical Investigation · doi:10.1172/jci28898 · Cited by 3,690
Inflammation and Activated Innate Immunity in the Pathogenesis of Type 2 Diabetes
Pickup, J. C. (2004) · Diabetes Care · doi:10.2337/diacare.27.3.813 · Cited by 1,414
Signal transduction by the lipopolysaccharide receptor, Toll-like receptor-4
Pålsson‐McDermott, E. M., & O'Neill, L. A. J. (2004) · Immunology · doi:10.1111/j.1365-2567.2004.01976.x · Cited by 1,254 · cited 1×
“The concentration of unlabeled competitor lipopolysaccharide (LPS), a well-known specific ligand for TLR4 (Palsson-McDermott and O’Neill, 2004), was between 0.1 ng/ml and 100 mg/ml, and the concentration of IFN-g as negative control was between 10 and 1000 U/ml. CXCL10 was able to bind the TLR4…”
BackgroundInfluentialMeier, J. J., Butler, A. E., Saisho, Y., Monchamp, T., Galasso, R., Bhushan, A., Rizza, R. A., & Butler, P. C. (2008) · Diabetes · doi:10.2337/db07-1369 · Cited by 683
Lee, J. Y., Ye, J., Gao, Z., Youn, H. S., Lee, W. H., Zhao, L., Sizemore, N., & Hwang, D. H. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m305213200 · Cited by 524
Donath, M. Y., Gross, D. J., Cerasi, E., & Kaiser, N. (1999) · Diabetes · doi:10.2337/diabetes.48.4.738 · Cited by 405
Monocytes from type 2 diabetic patients have a pro-inflammatory profile
Giulietti, A., van Etten, E., Overbergh, L., Stoffels, K., Bouillon, R., & Mathieu, C. (2007) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2006.10.007 · Cited by 400
An immune origin of type 2 diabetes?
Kolb, H., & Mandrup-Poulsen, T. (2005) · Diabetologia · doi:10.1007/s00125-005-1764-9 · Cited by 394
Replication Increases β-Cell Vulnerability to Human Islet Amyloid Polypeptide-Induced Apoptosis
Ritzel, R. A., & Butler, P. C. (2003) · Diabetes · doi:10.2337/diabetes.52.7.1701 · Cited by 115
Cited by
Bonner, C., Kerr-Conte, J., Gmyr, V., Queniat, G., Moerman, E., Thévenet, J., Beaucamps, C., Delalleau, N., Popescu, I., Malaisse, W. J., et al. (2015) · Nature Medicine · doi:10.1038/nm.3828 · Cited by 670
CXCR3 ligands in disease and therapy
Van Raemdonck, K., Van den Steen, P. E., Liekens, S., Van Damme, J., & Struyf, S. (2015) · Cytokine & Growth Factor Reviews · doi:10.1016/j.cytogfr.2014.11.009 · Cited by 310
Bergholdt, R., Brorsson, C., Palleja, A., Berchtold, L. A., Fløyel, T., Bang-Berthelsen, C. H., Frederiksen, K. S., Jensen, L. J., Størling, J., & Pociot, F. (2012) · Diabetes · doi:10.2337/db11-1263 · Cited by 125
Bouzakri, K., Plomgaard, P., Berney, T., Donath, M. Y., Pedersen, B. K., & Halban, P. A. (2011) · Diabetes · doi:10.2337/db10-1178 · Cited by 122
Pugazhenthi, U., Velmurugan, K., Tran, A., Mahaffey, G., & Pugazhenthi, S. (2010) · Diabetologia · doi:10.1007/s00125-010-1849-y · Cited by 61
Metadata
- Authors
- Schulthess, F. T., Paroni, F., Sauter, N. S., Shu, L., Ribaux, P., Haataja, L., Strieter, R. M., Oberholzer, J., King, C. C., & Maedler, K.
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2009-02
- Volume
- 9
- Issue
- 2
- Pages
- 125-139
- ISSN
- 1550-4131 (ISSN-L)
- OpenAlex
- W2003965937
- Cited by
- 208
- References
- 10
- FWCI
- 14.45
- 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: CXCL10 Impairs β Cell Function and Viability in Diabetes through TLR4 Signaling. https://app.cochat.ai/papers/10.1016/j.cmet.2009.01.003
- The paper
- Schulthess, F. T., Paroni, F., Sauter, N. S., Shu, L., Ribaux, P., Haataja, L., Strieter, R. M., Oberholzer, J., King, C. C., & Maedler, K. (2009). CXCL10 Impairs β Cell Function and Viability in Diabetes through TLR4 Signaling. Cell Metabolism. https://doi.org/10.1016/j.cmet.2009.01.003
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.