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A novel diabetes typology: towards precision diabetology from pathogenesis to treatment
Open accessAbstract
The current classification of diabetes, based on hyperglycaemia, islet-directed antibodies and some insufficiently defined clinical features, does not reflect differences in aetiological mechanisms and in the clinical course of people with diabetes. This review discusses evidence from recent studies addressing the complexity of diabetes by proposing novel subgroups (subtypes) of diabetes. The most widely replicated and validated approach identified, in addition to severe autoimmune diabetes, four subgroups designated severe insulin-deficient diabetes, severe insulin-resistant diabetes, mild obesity-related diabetes and mild age-related diabetes subgroups. These subgroups display distinct patterns of clinical features, disease progression and onset of comorbidities and complications, with severe insulin-resistant diabetes showing the highest risk for cardiovascular, kidney and fatty liver diseases. While it has been suggested that people in these subgroups would benefit from stratified treatments, RCTs are required to assess the clinical utility of any reclassification effort. Several methodological and practical issues also need further study: the statistical approach used to define subgroups and derive recommendations for diabetes care; the stability of subgroups over time; the optimal dataset (e.g. phenotypic vs genotypic) for reclassification; the transethnic generalisability of findings; and the applicability in clinical routine care. Despite these open questions, the concept of a new classification of diabetes has already allowed researchers to gain more insight into the colourful picture of diabetes and has stimulated progress in this field so that precision diabetology may become reality in the future.
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“Different subtypes/endotypes/clusters of T2D are associated with different risks of disease progression, 58,59 with particularly high risk for MASLD/MASH progression in those individuals with severe insulin resistance.”
From EASL-EASD-EASO Clinical Practice Guidelines on the management of metabolic dysfunction-associated steatotic liver disease (MASLD). (2024) · cites this paper as [59]
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Ahlqvist, E., Storm, P., Käräjämäki, A., Martinell, M., Dorkhan, M., Carlsson, A., Vikman, P., Prasad, R. B., Aly, D. M., Almgren, P., et al. (2018) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(18)30051-2 · Cited by 2,335
Mahajan, A., Taliun, D., Thurner, M., Robertson, N. R., Torres, J. M., Rayner, N. W., Payne, A. J., Steinthorsdottir, V., Scott, R. A., Grarup, N., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0241-6 · Cited by 1,744
Self-citationDavies, M. J., D’Alessio, D. A., Fradkin, J., Kernan, W. N., Mathieu, C., Mingrone, G., Rossing, P., Tsapas, A., Wexler, D. J., & Buse, J. B. (2018) · Diabetologia · doi:10.1007/s00125-018-4729-5 · Cited by 1,455
The integrative biology of type 2 diabetes
Roden, M., & Shulman, G. I. (2019) · Nature · doi:10.1038/s41586-019-1797-8 · Cited by 1,167
Self-citationHuman postprandial responses to food and potential for precision nutrition
Berry, S. E., Valdes, A. M., Drew, D. A., Asnicar, F., Mazidi, M., Wolf, J., Capdevila, J., Hadjigeorgiou, G., Davies, R., Al Khatib, H., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0934-0 · Cited by 932
Tabák, A. G., Jokela, M., Akbaraly, T. N., Brunner, E. J., Kivimäki, M., & Witte, D. R. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60619-x · Cited by 898
Zaharia, O. P., Strassburger, K., Strom, A., Bönhof, G. J., Karusheva, Y., Antoniou, S., Bódis, K., Markgraf, D. F., Burkart, V., Müssig, K., et al. (2019) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(19)30187-1 · Cited by 600
Self-citationIdentification of type 2 diabetes subgroups through topological analysis of patient similarity
Li, L., Cheng, W., Glicksberg, B. S., Gottesman, O., Tamler, R., Chen, R., Böttinger, E. P., & Dudley, J. T. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aaa9364 · Cited by 554
Udler, M. S., Kim, J., von Grotthuss, M., Bonàs-Guarch, S., Cole, J. B., Chiou, J., ISGC, C. D. A. O. B. O. M. A. T., Boehnke, M., Laakso, M., Atzmon, G., et al. (2018) · PLOS Medicine · doi:10.1371/journal.pmed.1002654 · Cited by 542
Molecular Choreography of Acute Exercise
Contrepois, K., Wu, S., Moneghetti, K. J., Hornburg, D., Ahadi, S., Tsai, M.-S., Metwally, A. A., Wei, E., Lee-McMullen, B., Quijada, J. V., et al. (2020) · Cell · doi:10.1016/j.cell.2020.04.043 · Cited by 502
A Longitudinal Big Data Approach for Precision Health
Schüssler-Fiorenza Rose, S. M., Contrepois, K., Moneghetti, K. J., Zhou, W., Mishra, T., Mataraso, S., Dagan-Rosenfeld, O., Ganz, A. B., Dunn, J., Hornburg, D., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0414-6 · Cited by 494
Dennis, J., Shields, B. M., Henley, W., Jones, A. G., & Hattersley, A. T. (2019) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(19)30087-7 · Cited by 475
Targeting cardiovascular inflammation: next steps in clinical translation
Lawler, P. R., Bhatt, D. L., Godoy, L. C., Lüscher, T. F., Bonow, R. O., Verma, S., & Ridker, P. M. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehaa099 · Cited by 463
Targeting innate immune mediators in type 1 and type 2 diabetes
Donath, M. Y., Dinarello, C. A., & Mandrup-Poulsen, T. (2019) · Nature Reviews Immunology · doi:10.1038/s41577-019-0213-9 · Cited by 416
Pathophysiology-based subphenotyping of individuals at elevated risk for type 2 diabetes
Wagner, R., Heni, M., Tabák, A. G., Machann, J., Schick, F., Randrianarisoa, E., Hrabě de Angelis, M., Birkenfeld, A. L., Stefan, N., Peter, A., et al. (2021) · Nature Medicine · doi:10.1038/s41591-020-1116-9 · Cited by 415
Battaglia, M., Ahmed, S., Anderson, M. S., Atkinson, M. A., Becker, D., Bingley, P. J., Bosi, E., Brusko, T. M., DiMeglio, L. A., Evans-Molina, C., et al. (2020) · Diabetes Care · doi:10.2337/dc19-0880 · Cited by 351
Type 2 diabetes: a multifaceted disease
Pearson, E. R. (2019) · Diabetologia · doi:10.1007/s00125-019-4909-y · Cited by 276
Painting a new picture of personalised medicine for diabetes
McCarthy, M. I. (2017) · Diabetologia · doi:10.1007/s00125-017-4210-x · Cited by 266
Novel subgroups of patients with adult-onset diabetes in Chinese and US populations
Zou, X., Zhou, X., Zhu, Z., & Ji, L. (2018) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(18)30316-4 · Cited by 258
Subtypes of Type 2 Diabetes Determined From Clinical Parameters
Ahlqvist, E., Prasad, R. B., & Groop, L. (2020) · Diabetes · doi:10.2337/dbi20-0001 · Cited by 249
Gene-Lifestyle Interaction and Type 2 Diabetes: The EPIC InterAct Case-Cohort Study
Langenberg, C., Sharp, S. J., Franks, P. W., Scott, R. A., Deloukas, P., Forouhi, N. G., Froguel, P., Groop, L., Hansen, T. F., Palla, L., et al. (2014) · PLoS Medicine · doi:10.1371/journal.pmed.1001647 · Cited by 237
Anjana, R. M., Baskar, V., Nair, A. T. N., Jebarani, S., Siddiqui, M. K., Pradeepa, R., Ranjit Unnikrishnan, I., Palmer, C., Pearson, E. R., & Mohan, V. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2020-001506 · Cited by 226
The clinical consequences of heterogeneity within and between different diabetes types
REDONDO, M. J., Hagopian, W., Oram, R. A., Steck, A. K., Vehik, K., Weedon, M. N., Balasubramanyam, A., & Dabelea, D. (2020) · Diabetologia · doi:10.1007/s00125-020-05211-7 · Cited by 207
Chung, W. K., Erion, K., Florez, J. C., Hattersley, A. T., Hivert, M.-F., Lee, C. G., McCarthy, M. I., Nolan, J. J., Norris, J. M., Pearson, E. R., et al. (2020) · Diabetologia · doi:10.1007/s00125-020-05181-w · Cited by 203
Precision medicine in the management of type 2 diabetes
Gloyn, A. L., & Drucker, D. J. (2018) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(18)30052-4 · Cited by 201
The Discovery of Type 1 Diabetes
Gale, E. A. M. (2001) · Diabetes · doi:10.2337/diabetes.50.2.217 · Cited by 157
Cohort profile: the German Diabetes Study (GDS)
The GDS Group, Szendroedi, J., Saxena, A., Weber, K. S., Straßburger, K., Herder, C., Burkart, V., Nowotny, B., Icks, A., Kuß, O., et al. (2016) · Cardiovascular Diabetology · doi:10.1186/s12933-016-0374-9 · Cited by 157
Self-citationNovel therapies with precision mechanisms for type 2 diabetes mellitus
Perreault, L., Skyler, J. S., & Rosenstock, J. (2021) · Nature Reviews Endocrinology · doi:10.1038/s41574-021-00489-y · Cited by 145
Carstensen, M., Herder, C., Kivimäki, M., Jokela, M., Roden, M., Shipley, M. J., Witte, D. R., Brunner, E. J., & Tabák, A. G. (2010) · Diabetes · doi:10.2337/db09-1199 · Cited by 137
Self-citationThe Genetic Basis of Metabolic Disease
Barroso, I., & McCarthy, M. I. (2019) · Cell · doi:10.1016/j.cell.2019.02.024 · Cited by 129
A Global Overview of Precision Medicine in Type 2 Diabetes
Fitipaldi, H., McCarthy, M. I., Florez, J. C., & Franks, P. W. (2018) · Diabetes · doi:10.2337/dbi17-0045 · Cited by 126
Dennis, J. (2020) · Diabetes · doi:10.2337/dbi20-0002 · Cited by 123
Tanabe, H., Saito, H., Kudo, A., Machii, N., Hirai, H., Maimaituxun, G., Tanaka, K., Masuzaki, H., Watanabe, T., Asahi, K., et al. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9072083 · Cited by 116
Precision medicine in type 2 diabetes
Prasad, R. B., & Groop, L. (2018) · Journal of Internal Medicine · doi:10.1111/joim.12859 · Cited by 95
Bonora, E., Trombetta, M., Dauriz, M., Travia, D., Cacciatori, V., Brangani, C., Negri, C., Perrone, F., Pichiri, I., Stoico, V., et al. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2020-001549 · Cited by 91
Kahkoska, A. R., Geybels, M. S., Klein, K. R., Kreiner, F. F., Marx, N., Nauck, M. A., Pratley, R. E., Wolthers, B. O., & Buse, J. B. (2020) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14063 · Cited by 90
Bello‐Chavolla, O. Y., Bahena-López, J. P., Vargas‐Vázquez, A., Antonio‐Villa, N. E., Márquez‐Salinas, A., Fermín‐Martínez, C. A., Rojas, R., Mehta, R., Cruz‐Bautista, I., Hernández-Jiménez, S. C., et al. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2020-001550 · Cited by 84
Slieker, R. C., Donnelly, L. A., Fitipaldi, H., Bouland, G. A., Giordano, G. N., Åkerlund, M., Gerl, M. J., Ahlqvist, E., Ali, A., Dragan, I., et al. (2021) · Diabetologia · doi:10.1007/s00125-021-05490-8 · Cited by 82
Differences in Biomarkers of Inflammation Between Novel Subgroups of Recent-Onset Diabetes
Herder, C., Maalmi, H., Straßburger, K., Zaharia, O., Ratter, J. M., Karusheva, Y., Elhadad, M. A., Bódis, K. B., Bongaerts, B. W. C., Rathmann, W., et al. (2021) · Diabetes · doi:10.2337/db20-1054 · Cited by 78
Self-citationZoppini, G., Cacciatori, V., Raimondo, D., Gemma, M., Trombetta, M., Dauriz, M., Brangani, C., Pichiri, I., Negri, C., Stoico, V., et al. (2015) · Diabetes Care · doi:10.2337/dc15-0081 · Cited by 74
Zaharia, O., Straßburger, K., Knebel, B., Kupriyanova, Y., Karusheva, Y., Wolkersdorfer, M. F., Bódis, K. B., Markgraf, D. F., Burkart, V., Hwang, J., et al. (2020) · Diabetes Care · doi:10.2337/dc20-0329 · Cited by 72
Self-citationLee, M. M. Y., Ghouri, N., McGuire, D. K., Rutter, M. K., & Sattar, N. A. (2021) · Diabetes Care · doi:10.2337/dc20-3007 · Cited by 69
Hulman, A., Witte, D. R., Vistisen, D., Balkau, B., Dekker, J. M., Herder, C., Hatunic, M., Konrad, T., Færch, K., & Manco, M. (2018) · Diabetes Care · doi:10.2337/dc18-0279 · Cited by 66
Self-citationXiong, X., Yang, Y., Wei, L., Xiao, Y., Li, L., Zhou, Z., 刘石平, Li, X., Xiao, L., 汪年松, et al. (2019) · Journal of Diabetes Investigation · doi:10.1111/jdi.13494 · Cited by 64
Sarría‐Santamera, A., Orazumbekova, B., Maulenkul, T., Gaipov, A., & Atageldiyeva, K. K. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17249523 · Cited by 60
Slieker, R. C., Donnelly, L. A., Fitipaldi, H., Bouland, G. A., Giordano, G. N., Åkerlund, M., Gerl, M. J., Ahlqvist, E., Ali, A., Dragan, I., et al. (2021) · Diabetes · doi:10.2337/db20-1281 · Cited by 59
Adiponectin Trajectories Before Type 2 Diabetes Diagnosis
Tabák, Á. G., Carstensen, M., Witte, D. R., Brunner, E. J., Shipley, M. J., Jokela, M. M., Roden, M., Mika Kivimaki, B., & Herder, C. (2012) · Diabetes Care · doi:10.2337/dc11-2263 · Cited by 55
Self-citationXing, L., Peng, F., Liang, Q., Dai, X., Ren, J., Wu, H., Yang, S., Zhu, Y., Jia, L., & Zhao, S. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.617628 · Cited by 55
Lugner, M., Guðbjörnsdóttir, S., Sattar, N. A., Svensson, A., Miftaraj, M., Eeg‐Olofsson, K., Eliasson, B., & Franzén, S. (2021) · Diabetologia · doi:10.1007/s00125-021-05485-5 · Cited by 53
Fasolino, M., Goldman, N., Wang, W., Cattau, B., Zhou, Y., Petrovic, J., Link, V. M., Coté, A., Chandra, A., Silverman, M. A., et al. (2020) · Immunity · doi:10.1016/j.immuni.2020.01.003 · Cited by 50
Veelen, A., Erazo‐Tapia, E., Oscarsson, J., & Schrauwen, P. (2020) · Molecular Metabolism · doi:10.1016/j.molmet.2020.101158 · Cited by 50
Bancks, M. P., Bertoni, A. G., Carnethon, M. R., Chen, H., Cotch, M. F., Gujral, U. P., Herrington, D. M., Kanaya, A. M., Szklo, M., Vaidya, D. M., et al. (2021) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa962 · Cited by 49
Bancks, M. P., Chen, H., Balasubramanyam, A., Bertoni, A. G., Espeland, M. A., Kahn, S. E., Pilla, S. J., Vaughan, E. M., & Wagenknecht, L. E. (2021) · Diabetes Care · doi:10.2337/dc20-2372 · Cited by 49
Bennet, L., Nilsson, C., Aly, D. M., Christensson, A. G., Groop, L., & Ahlqvist, E. (2020) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3419 · Cited by 43
Is type 2 diabetes a category error?
Gale, E. A. (2013) · The Lancet · doi:10.1016/s0140-6736(12)62207-7 · Cited by 41
Risk variants disrupting enhancers of T H 1 and T REG cells in type 1 diabetes
Gao, P., Uzun, Y., He, B., Salamati, S., Coffey, J., Tsalikian, E., & Tan, K. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1815336116 · Cited by 41
Ratter-Rieck, J. M., Maalmi, H., Trenkamp, S., Zaharia, O., Rathmann, W., Schloot, N. C., Straßburger, K., Szendroedi, J., Herder, C., & Roden, M. (2021) · Diabetes · doi:10.2337/db21-0364 · Cited by 41
Self-citationMetabolic Characteristics of Recently Diagnosed Adult-Onset Autoimmune Diabetes Mellitus
Zaharia, O., Bobrov, P., Straßburger, K., Bódis, K. B., Karusheva, Y., Scholz, M., Markgraf, D. F., Burkart, V., Schloot, N. C., Müssig, K., et al. (2017) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2017-01706 · Cited by 40
Self-citationMaalmi, H., Herder, C., Bönhof, G. J., Straßburger, K., Zaharia, O., Rathmann, W., Burkart, V., Szendroedi, J., Roden, M., Ziegler, D., et al. (2021) · Diabetologia · doi:10.1007/s00125-021-05607-z · Cited by 37
Self-citationHeterogeneity of diabetes: heralding the era of precision medicine
Prato, S. D. (2019) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(19)30218-9 · Cited by 34
Fedotkina, O., Sulaieva, O., Özgümüş, T., Cherviakova, L., Khalimon, N., Svietleisha, T., Buldenko, T., Ahlqvist, E., Asplund, O., Groop, L., et al. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.637945 · Cited by 33
REDONDO, M. J., & Balasubramanyam, A. (2021) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgab545 · Cited by 32
Carrillo-Larco, R. M., Castillo‐Cara, M., Anza‐Ramirez, C., & Bernabé‐Ortiz, A. (2021) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2020-001889 · Cited by 24
Maalmi, H., Herder, C., Straßburger, K., Urner, S., Jandeleit-Dahm, K. A. M., Zaharia, O., Karusheva, Y., Bongaerts, B. W. C., Rathmann, W., Burkart, V., et al. (2020) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa622 · Cited by 20
Self-citationZou, H., Wu, D., Zhang, Z., Chen, X., Lu, P., & Yu, X. (2020) · Scientific Reports · doi:10.1038/s41598-020-69091-y · Cited by 19
Khoshnejat, M., Kavousi, K., Banaei‐Moghaddam, A. M., & Moosavi‐Movahedi, A. A. (2020) · BMC Medical Genomics · doi:10.1186/s12920-020-00767-0 · Cited by 11
Obura, M. O., Beulens, J. W. J., Slieker, R. C., Koopman, A. D. M., Hoekstra, T., Nijpels, G., Elders, P. J. M., Koivula, R. W., Kurbasic, A., Laakso, M., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0242360 · Cited by 7
Zoppini, G., Trombetta, M., Pastore, I., Brangani, C., Cacciatori, V., Negri, C., Perrone, F., Pichiri, I., Stoico, V., Travia, D., et al. (2021) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2021.108778 · Cited by 6
1502-P: Novel Subgroups of Type 2 Diabetes at Diagnosis in a Southern European Cohort
Bonadonna, R. C., Trombetta, M., Zusi, C., Dauriz, M., Boselli, M. L., & Bonora, E. (2019) · Diabetes · doi:10.2337/db19-1502-p · Cited by 3
Research works printed but not linked: 1
- Mahajan A, Taliun D, Thurner M et al (2018) Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps. Nat Genet 50(11):1505–1513. https://doi.org/10.1038/s41588-018-0241-6 · DOI · Paper page
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Misra, S., Wagner, R. J., Özkan, B., Schön, M., Sevilla-González, M. D. R., Prystupa, K., Wang, C. C., Kreienkamp, R. J., CROMER, S. J., Rooney, M. R., et al. (2023) · Communications Medicine · doi:10.1038/s43856-023-00360-3 · Cited by 132
Metadata
- Authors
- Herder, C., & Roden, M.
- Affiliations
- Düsseldorf University Hospital (DE)
- Corresponding author
- Herder, Christian
- Roden, Michael
- Venue
- Diabetologia
- Published
- 2022-01-04
- Volume
- 65
- Issue
- 11
- Pages
- 1770-1781
- ISSN
- 0012-186X (ISSN-L)
- 1432-0428
- PMC
- PMC9522691
- OpenAlex
- W4206342425
- Cited by
- 140
- References
- 69
- Citations by year
- 2026: 21 · 2025: 37 · 2024: 34 · 2023: 33 · 2022: 15
- FWCI
- 4.24
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Diabetologia (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Informationszentrum Lebenswissenschaften (ZB MED) (submittedVersion, cc-by)
- Funders
- German Center for Diabetes Research
- German Federal Ministry of Education and Research
- German Federal Ministry of Health
- Ministry of Culture and Science of the State of North Rhine-Westphalia
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- diabetes classification, diabetes subtypes, autoimmune diabetes, insulin-deficient diabetes, obesity-related diabetes, age-related diabetes, pathogenesis, diabetes complications, cardiovascular risk, diabetic nephropathy, hepatic steatosis, treatment stratification
- MeSH terms
- Diabetes Mellitus, Type 1, Humans, Hyperglycemia, Insulin Resistance, Comorbidity, Insulins
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