The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Oral Delivery of Glutamic Acid Decarboxylase (GAD)-65 and IL10 by Lactococcus lactis Reverses Diabetes in Recent-Onset NOD Mice
Abstract
Growing insight into the pathogenesis of type 1 diabetes (T1D) and numerous studies in preclinical models highlight the potential of antigen-specific approaches to restore tolerance efficiently and safely. Oral administration of protein antigens is a preferred method for tolerance induction, but degradation during gastrointestinal passage can impede such protein-based therapies, reducing their efficacy and making them cost-ineffective. To overcome these limitations, we generated a tolerogenic bacterial delivery technology based on live Lactococcus lactis (LL) bacteria for controlled secretion of the T1D autoantigen GAD65370–575 and the anti-inflammatory cytokine interleukin-10 in the gut. In combination with short-course low-dose anti-CD3, this treatment stabilized insulitis, preserved functional β-cell mass, and restored normoglycemia in recent-onset NOD mice, even when hyperglycemia was severe at diagnosis. Combination therapy did not eliminate pathogenic effector T cells, but increased the presence of functional CD4+Foxp3+CD25+ regulatory T cells. These preclinical data indicate a great therapeutic potential of orally administered autoantigen-secreting LL for tolerance induction in T1D.
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Interleukin-10 and the Interleukin-10 Receptor
Moore, K. W., de Waal Malefyt, R., Coffman, R. L., & O'Garra, A. (2001) · Annual Review of Immunology · doi:10.1146/annurev.immunol.19.1.683 · Cited by 6,737
A distinct lineage of CD4 T cells regulates tissue inflammation by producing interleukin 17
Park, H., Li, Z., Yang, X. O., Chang, S. H., Nurieva, R., Wang, Y.-H., Wang, Y., Hood, L., Zhu, Z., Tian, Q., et al. (2005) · Nature Immunology · doi:10.1038/ni1261 · Cited by 4,265
Insulin needs after CD3-antibody therapy in new-onset type 1 diabetes
Keymeulen, B., Vandemeulebroucke, E., Ziegler, A. G., Mathieu, C., Kaufman, L., Hale, G., Gorus, F., Goldman, M., Walter, M., Candon, S., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa043980 · Cited by 1,099
Self-citationType 1 Diabetes: Etiology, Immunology, and Therapeutic Strategies
Van Belle, T. L., Coppieters, K. T., & Von Herrath, M. G. (2011) · Physiological Reviews · doi:10.1152/physrev.00003.2010 · Cited by 1,022
Effects of Oral Insulin in Relatives of Patients With Type 1 Diabetes
The Diabetes Prevention Trial-Type 1 Study Group (2005) · Diabetes Care · doi:10.2337/diacare.28.5.1068 · Cited by 668
GAD treatment and insulin secretion in recent-onset type 1 diabetes
Ludvigsson, J., Faresjö, M., Hjorth, M., Axelsson, S., Chéramy, M., Pihl, M., Vaarala, O., Forsander, G., Ivarsson, S., Johansson, C., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0804328 · Cited by 520
GAD65 antigen therapy in recently diagnosed type 1 diabetes mellitus
Ludvigsson, J., Krisky, D., Casas, R., Battelino, T., Castaño, L., Greening, J., Kordonouri, O., Otonkoski, T., Pozzilli, P., Robert, J.-J., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1107096 · Cited by 340
Herold, K. C., Gitelman, S., Greenbaum, C., Puck, J., Hagopian, W., Gottlieb, P., Sayre, P., Bianchine, P., Wong, E., Seyfert-Margolis, V., et al. (2009) · Clinical Immunology · doi:10.1016/j.clim.2009.04.007 · Cited by 219
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Metadata
- Authors
- Robert, S., Gysemans, C., Takiishi, T., Korf, H., Spagnuolo, I., Sebastiani, G., Van Huynegem, K., Steidler, L., Caluwaerts, S., Demetter, P., Wasserfall, C. H., Atkinson, M. A., Dotta, F., Rottiers, P., Van Belle, T. L., & Mathieu, C.
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2014-07-17
- Volume
- 63
- Issue
- 8
- Pages
- 2876-2887
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2097127702
- Cited by
- 160
- References
- 8
- FWCI
- 9.51
- Type
- journal article
- Language
- en
- Open access
- closed
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- Robert, S., Gysemans, C., Takiishi, T., Korf, H., Spagnuolo, I., Sebastiani, G., Van Huynegem, K., Steidler, L., Caluwaerts, S., Demetter, P., Wasserfall, C. H., Atkinson, M. A., Dotta, F., Rottiers, P., Van Belle, T. L., & Mathieu, C. (2014). Oral Delivery of Glutamic Acid Decarboxylase (GAD)-65 and IL10 by Lactococcus lactis Reverses Diabetes in Recent-Onset NOD Mice. Diabetes. https://doi.org/10.2337/db13-1236
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