Identification of tetraspanin-7 as a target of autoantibodies in type 1 diabetes
Open accessAbstract
The presence of autoantibodies to multiple-islet autoantigens confers high risk for the development of type 1 diabetes. Four major autoantigens are established (insulin, glutamate decarboxylase, IA2, and zinc transporter-8), but the molecular identity of a fifth, a 38-kDa membrane glycoprotein (Glima), is unknown. Glima antibodies have been detectable only by immunoprecipitation from extracts of radiolabeled islet or neuronal cells. We sought to identify Glima to enable efficient assay of these autoantibodies. Mouse brain and lung were shown to express Glima. Membrane glycoproteins from extracts of these organs were enriched by detergent phase separation, lectin affinity chromatography, and SDS-PAGE. Proteins were also immunoaffinity purified from brain extracts using autoantibodies from the sera of patients with diabetes before SDS-PAGE. Eluates from gel regions equivalent to 38 kDa were analyzed by liquid chromatography–tandem mass spectrometry for protein identification. Three proteins were detected in samples from the brain and lung extracts, and in the immunoaffinity-purified sample, but not in the negative control. Only tetraspanin-7, a multipass transmembrane glycoprotein with neuroendocrine expression, had physical characteristics expected of Glima. Tetraspanin-7 was confirmed as an autoantigen by demonstrating binding to autoantibodies in type 1 diabetes. We identify tetraspanin-7 as a target of autoimmunity in diabetes, allowing its exploitation for diabetes prediction and immunotherapy.
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Over 90% of people with newly diagnosed type 1 diabetes have measurable antibodies against specific β-cell proteins, including insulin, glutamate decarboxylase, islet antigen 2, zinc transporter 8, and tetraspanin-7.
“Over 90% of people with newly diagnosed type 1 diabetes have measurable antibodies against specific β-cell proteins, including insulin, glutamate decarboxylase, islet antigen 2, zinc transporter 8, and tetraspanin-7.14”
From Type 1 diabetes (2018) · cites this paper as [14]
The introduction (Takedown, p. 4) identifies insulin, glutamate decarboxylase, IA-2, and zinc transporter 8 as major autoantigens; the paper also confirms tetraspanin-7 as an autoantibody target (Takedown, p. 2). It does not establish that over 90% of newly diagnosed people have measurable antibodies to these proteins. (LLM, conf=0.88)
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Cites
Antibodies, a laboratory manual
(1989) · Biomedicine & Pharmacotherapy · doi:10.1016/0753-3322(89)90130-3 · Cited by 12,318 · see citing works
Antibodies: A laboratory manual
J.L. (1989) · Trends in Biochemical Sciences · doi:10.1016/0968-0004(89)90307-1 · Cited by 5,141 · see citing works
Keller, A., Nesvizhskii, A., Kolker, E., & Aebersold, R. (2002) · Analytical Chemistry · doi:10.1021/ac025747h · Cited by 4,970 · see citing works
A statistical model for identifying proteins by tandem mass spectrometry.
Nesvizhskii, A., Keller, A., Kolker, E., & Aebersold, R. (2003) · Analytical Chemistry · doi:10.1021/ac0341261 · Cited by 4,902 · see citing works
Baekkeskov, S., Aanstoot, H.-J., Christgai, S., Reetz, A., Solimena, M., Cascalho, M., Folli, F., Richter-Olesen, H., & Camilli, P.-D. (1990) · Nature · doi:10.1038/347151a0 · Cited by 1,964 · see citing works
Tetraspanin functions and associated microdomains
Hemler, M. E. (2005) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1736 · Cited by 1,355 · cited 1× · see citing works
“Tspan7 is a member of the tetraspanin family, members of which share structural characteristics of four transmembrane domains, with one short (EC1) and one long (EC2) extracellular loop (19).”
BackgroundSeroconversion to multiple islet autoantibodies and risk of progression to diabetes in children
Ziegler, A. G., Rewers, M., Simell, O., Simell, T., Lempainen, J., Steck, A., Winkler, C., Ilonen, J., Veijola, R., Knip, M., et al. (2013) · JAMA · doi:10.1001/jama.2013.6285 · Cited by 1,312 · see citing works
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 · see citing works
Rituximab, B-lymphocyte depletion, and preservation of beta-cell function
Pescovitz, M. D., Greenbaum, C. J., Krause-Steinrauf, H., Becker, D. J., Gitelman, S. E., Goland, R., Gottlieb, P. A., Marks, J. B., McGee, P. F., Moran, A. M., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0904452 · Cited by 1,093 · see citing works
Insulin antibodies in insulin-dependent diabetics before insulin treatment
Palmer, J. P., Asplin, C. M., Clemons, P., Lyen, K., Tatpati, O., Raghu, P. K., & Paquette, T. L. (1983) · Science · doi:10.1126/science.6362005 · Cited by 1,078 · see citing works
The cation efflux transporter ZnT8 (Slc30A8) is a major autoantigen in human type 1 diabetes
Wenzlau, J. M., Juhl, K., Yu, L., Moua, O., Sarkar, S. A., Gottlieb, P., Rewers, M., Eisenbarth, G. S., Jensen, J., Davidson, H. W., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705894104 · Cited by 1,014 · see citing works
The tetraspanin superfamily: molecular facilitators
Maecker, H. T., Todd, S. C., & Levy, S. (1997) · The FASEB Journal · doi:10.1096/fasebj.11.6.9194523 · Cited by 931 · see citing works
Gateways to the FANTOM5 promoter level mammalian expression atlas
Lizio, M., Harshbarger, J., Shimoji, H., Severin, J., Kasukawa, T., Sahin, S., Abugessaisa, I., Fukuda, S., Hori, F., Ishikawa-Kato, S., et al. (2015) · Genome Biology · doi:10.1186/s13059-014-0560-6 · Cited by 871 · see citing works
Complexes of tetraspanins with integrins: more than meets the eye
Berditchevski, F. (2001) · Journal of Cell Science · doi:10.1242/jcs.114.23.4143 · Cited by 597 · see citing works
Feutren, G., Assan, R., Karsenty, G., Du Rostu, H., Sirmai, J., Papoz, L., Vialettes, B., Vexiau, P., Rodier, M., Lallemand, A., et al. (1986) · The Lancet · doi:10.1016/s0140-6736(86)91943-4 · Cited by 448 · see citing works
Bækkeskov, S., Aanstoot, H., Christgau, S., Reetz, A., Solimena, M., Cascalho, M., Folli, F. B., Richter-Olesen, H., & Camilli, P. V. D. (1990) · Nature · doi:10.1038/347782a0 · Cited by 352 · see citing works
Barker, J. M., Barriga, K. J., Yu, L., Miao, D., Erlich, H. A., Norris, J. M., Eisenbarth, G. S., & Rewers, M. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2003-031887 · Cited by 348 · see citing works
Pihoker, C., Gilliam, L. K., Hampe, C. S., & Lernmark, Å. (2005) · Diabetes · doi:10.2337/diabetes.54.suppl_2.s52 · Cited by 305 · see citing works
Payton, M. A., Hawkes, C. J., & Christie, M. R. (1995) · Journal of Clinical Investigation · doi:10.1172/jci118188 · Cited by 270 · see citing works
Self-citationAge-related islet autoantibody incidence in offspring of patients with type 1 diabetes
the BABYDIAB-BABYDIET Study Group, Ziegler, A.-G., & Bonifacio, E. (2012) · Diabetologia · doi:10.1007/s00125-012-2472-x · Cited by 264 · see citing works
Zemni, R., Bienvenu, T., Vinet, M. C., Sefiani, A., Carrié, A., Billuart, P., McDonell, N., Couvert, P., Francis, F., Chafey, P., et al. (2000) · Nature Genetics · doi:10.1038/72829 · Cited by 239 · see citing works
Immunotherapy of Type 1 Diabetes: Where Are We and Where Should We Be Going?
Luo, X., Herold, K. C., & Miller, S. D. (2010) · Immunity · doi:10.1016/j.immuni.2010.04.002 · Cited by 135 · see citing works
Aanstoot, H., Kang, S., Kim, J., et al. (1996) · Journal of Clinical Investigation · doi:10.1172/jci118732 · Cited by 92 · see citing works
Primary and secondary prevention of Type 1 diabetes
Skyler, J. S. (2012) · Diabetic Medicine · doi:10.1111/dme.12100 · Cited by 92 · see citing works
Michels, A. W., Zhang, L., Khadra, A., Kushner, J. A., REDONDO, M. J., & Pietropaolo, M. (2015) · Pediatric Diabetes · doi:10.1111/pedi.12299 · Cited by 82 · see citing works
Burbelo, P. D., Ching, K. H., Mattson, T. L., et al. (2006) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2006.11.140 · Cited by 68 · see citing works
Pancreatic islet and progenitor cell surface markers with cell sorting potential
Hald, J., Galbo, T., Rescan, C., Radzikowski, L., Sprinkel, A., Heimberg, H., Ahnfelt-Rønne, J., Jensen, J., Scharfmann, R., Gradwohl, G., et al. (2011) · Diabetologia · doi:10.1007/s00125-011-2295-1 · Cited by 55 · see citing works
Bottazzo, G. F., & Doniach, D. (1978) · PubMed · Cited by 32 · see citing works
Winnock, F., Christie, M. R., Batstra, M. R., Aanstoot, H., Weets, I., Decochez, K., Jopart, P., Nicolaij, D., Gorus, F., & The Belgian Diabetes Registry (2001) · Diabetes Care · doi:10.2337/diacare.24.7.1181 · Cited by 20 · see citing works
Self-citationRoll, U., Turck, C. W., Gitelman, S. E., Rosenthal, S. M., Nolte, M. S., Masharani, U. B., Ziegler, A., & Bækkeskov, S. (2000) · Diabetologia · doi:10.1007/s001250051349 · Cited by 16 · see citing works
Weenink, S. M., & Christie, M. R. (2005) · doi:10.1002/3527607854.ch15 · Cited by 13 · see citing works
Self-citation
Flagged first, then by citations
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Sorted by citations
DiMeglio, L. A., Evans-Molina, C., & Oram, R. A. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31320-5 · Cited by 1,561 · see citing works
New frontiers in the treatment of type 1 diabetes
Warshauer, J. T., Bluestone, J. A., & Anderson, M. S. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2019.11.017 · Cited by 259 · see citing works
- Authors
- McLaughlin, K. A., Richardson, C. C., Ravishankar, A., Brigatti, C., Liberati, D., Lampasona, V., Piemonti, L., Morgan, D., Feltbower, R. G., & Christie, M. R.
- Affiliations
- King's College London (GB)
- IRCCS Ospedale San Raffaele (IT)
- University of Leeds (GB)
- Corresponding author
- Christie, Michael R.
- ORCID
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2016-03-07
- Volume
- 65
- Issue
- 6
- Pages
- 1690-1698
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2293565227
- Cited by
- 113
- References
- 31
- Citations by year
- 2026: 6 · 2025: 4 · 2024: 10 · 2023: 16 · 2022: 16 · 2021: 7 · 2020: 13 · 2019: 14 · 2018: 13 · 2017: 7 · 2016: 7
- FWCI
- 11.04
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes (publishedVersion)
- PubMed (publishedVersion)
- Lincoln Repository (University of Lincoln) (acceptedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- Figshare (submittedVersion, cc-by)
- Archivio Istituzionale della Ricerca - Università Vita-Salute San Raffaele (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- VUBIR (Vrije Universiteit Brussel) (submittedVersion)
- Funders
- Diabetes UK (11/0004297)
- Society for Endocrinology (Early Career Award)
- Italian Ministry of Research
- King’s College London Graduate School
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
- Keywords
- type 1 diabetes, autoantibodies, autoantigens, islet autoimmunity, autoantigen identification, immunoaffinity purification, transmembrane glycoprotein, diabetes prediction
- MeSH terms
- Adolescent, Adult, Animals, Autoantibodies, Autoantigens, Brain, Diabetes Mellitus, Type 1, Humans, Lung, Membrane Glycoproteins, Middle Aged, Mice, Tetraspanins
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