The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
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.
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
Figures

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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measured
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
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
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
Cited by
Sorted by citations
Items 101–140 of 140
Afridi, A. S., Kafy, M. A., Nur, F. N., Moon, N. N., Sefatullah, M., & Fareeha, E. (2025) · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN) · doi:10.1109/qpain66474.2025.11172184 · Cited by 1
The long and winding road to precision diabetology
Roden, M. (2025) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(25)00303-1 · Cited by 1
Self-citationModern concepts of type 2 diabetes mellitus phenotypes
Киселева, Т. А., Valeeva, F. V., Рамилевна, И. Д., & Nabiullina, R. M. (2025) · Meditsinskiy sovet = Medical Council · doi:10.21518/ms2025-396 · Cited by 1
Bahari, H., Sharifi, M., Abadi, Z. N. S., Jazinaki, M. S., Golafrouz, H., & Asadi, Z. (2025) · Endocrinology Diabetes & Metabolism · doi:10.1002/edm2.70145 · Cited by 1
Carrillo-Larco, R. M., Varghese, J. S., Quyyumi, A. A., Narayan, K. M. V., Wilson, P. W. F., & Ali, M. K. (2025) · International Journal of Hypertension · doi:10.1155/ijhy/7193567 · Cited by 1
Yue, T., Zhang, W., Ding, Y., Zheng, X., Ma, Y., Chan, J. C. N., Lau, E. S. H., Lui, J. N. M., Jin, G., Xu, W., et al. (2026) · Nature Communications · doi:10.1038/s41467-025-68211-4 · Cited by 1
Definition, Klassifikation, Diagnostik und Differenzialdiagnostik des Diabetes mellitus: Update 2025
Landgraf, R., Heinemann, L., Schwarz, T., Niederau, C. M., Pleus, S., Tytko, A., Werner, C., Müller‐Wieland, D., Müller, U. A., Freckmann, G., et al. (2026) · Die Diabetologie · doi:10.1007/s11428-026-01423-4 · Cited by 1
Landgraf, R., Heinemann, L., Schwarz, T., Niederau, C., Pleus, S., Tytko, A., Werner, C., Müller‐Wieland, D., Müller, U. A., Freckmann, G., et al. (2026) · Experimental and Clinical Endocrinology & Diabetes · doi:10.1055/a-2766-3155 · Cited by 1
Ipek, R., Schaefer, E., Neuenschwander, M., Polzin, A., Marjani, K., Grandoch, M., Wagner, R., Herder, C., Roden, M., Kelm, M. A. L. T. E., et al. (2026) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2026.109083 · Cited by 1
Self-citationData-driven diabetes clustering in East Asians: pathological heterogeneity and personalized medicine
Shimabukuro, M., Watanabe-Shimoji, K., Tanabe, H., & Kawakami, E. (2026) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgag338
Präzisionsmedizin in der Diabetologie
Zaharia, O., Herder, C., & Roden, M. (2023) · Die Diabetologie · doi:10.1007/s11428-023-01006-7 · Cited by 1
Self-citationDie neuen Subtypen des (Prä‑)Diabetes auf dem Weg in die Praxis
Seebauer, L., & Szendrödi, J. (2023) · Die Diabetologie · doi:10.1007/s11428-023-01058-9 · Cited by 2
Efficience et précision du contrôle glycémique dans le diabète : symphonie inachevée ?
Monnier, L., Halimi, S., & Colette, C. (2022) · Médecine des Maladies Métaboliques · doi:10.1016/j.mmm.2022.11.005
Pharmakogenetik neuer Glukosespiegelsenker: eine Chance für die Präzisionsmedizin?
Lehnich, A.-T., & Rathmann, W. (2023) · Die Diabetologie · doi:10.1007/s11428-022-00993-3
Einfache Einteilung der Subtypen des Diabetes in der Praxis
Fritsche, A. (2023) · Die Diabetologie · doi:10.1007/s11428-022-00992-4
Abdourahmane, N., & Cheikh, T. S. (2023) · African Journal of Mathematics and Statistics Studies · doi:10.52589/ajmss-aonooefg · Cited by 1
Finer, N. (2024) · Wiley eBooks · doi:10.1002/9781119697473.ch18
Ursachen, Klinik und Folgen der Insulinresistenz bei Typ-2-Diabetes
Xourafa, G., & Roden, M. (2024) · Die Diabetologie · doi:10.1007/s11428-024-01155-3
Self-citationInsulinsekretion und Insulinclearance in verschiedenen Diabetessubtypen
Zaharia, O. (2024) · Die Diabetologie · doi:10.1007/s11428-024-01206-9
Risiken diabetesassoziierter Komorbiditäten in Subgruppen des Typ-2-Diabetes
Zaharia, O., Marx, N., Kelm, M., & Roden, M. (2024) · Aktuelle Kardiologie · doi:10.1055/a-2304-8090
Self-citationWang, K., Noordam, R., Trompet, S., van Oortmerssen, J. A. E., Jukema, J. W., Ikram, M. K., Nano, J., Herder, C., Peters, A., Gieger, C., et al. (2025) · medRxiv · doi:10.1101/2025.03.09.25323601
Self-citationWang, J., Wen, H., Sun, R., Dong, K., Xu, X., Dai, C., He, Y. L., Liu, Q., & Ye, Q. (2025) · Sensor Review · doi:10.1108/sr-01-2025-0061
Характеристика фенотипу пацієнтів із цукровим діабетом 2-го типу та ішемічною хворобою серця
Saienko, Y. A., & Mankovsky, B. (2025) · Ukrainian Journal of Cardiology · doi:10.31928/2664-4479-2025.2.2131
To the issue of complications of diabetes: a review
Kulikova, N. G., Chkheidze, T., Tkachenko, A. S., Vinzhegina, V. A., Rehabilitation sanatorium «Victoria», M., Шарикадзе, Д., M. Gorky Sanatorium, M., Matyushina, N. P., & M. Gorky Sanatorium, M. (2025) · Fizioterapevt (Physiotherapist) · doi:10.33920/med-14-2503-14
Type 2 Diabetes in Morocco: Toward a Precision Diabetology, from Pathogenesis to Treatment
Guerboub, A. A., Issouani, J., Lakssir, I., Srifi, H., Riznat, M., Malad, M., Asfour, M., Tadlaoui, A., & ERRAHALI, Y. (2025) · Annals of African Medicine · doi:10.4103/aam.aam_87_25
Clasificación fenotípica de la diabetes: un enfoque personalizado para la práctica farmacéutica
García, J. (2025) · Farmacéuticos Comunitarios · doi:10.33620/fc.2173-9218.(2025).23
Lacqua, C., Barbou, A., Zeller, M., Aho, S., Adam, H., Bichât, F., Petit, J., Cottin, Y., & Boulin, M. (2025) · Journal of Personalized Medicine · doi:10.3390/jpm15090444
Multimorbidity measurement strategies for predicting hospital visits
Neves, B. D., Moreira, J. M., Gonçalves, S., Cerejo, J., Mota, I., Silva, N. A., Leite, F., & Silva, M. J. (2025) · BMC Health Services Research · doi:10.1186/s12913-025-13817-z
Lu, B., Li, P., Crouse, A. B., Grimes, T., Smith, A. N., Might, M., Ovalle, F., & Shalev, A. (2026) · Metabolites · doi:10.3390/metabo16030204
Suzuki, K., Bódis, K. B., Pafili, K., Hara, A., Knebel, B., Schlesinger, S., Schrauwen‐Hinderling, V. B., Trenkamp, S., Al‐Hasani, H., KAHL, S., et al. (2026) · Clinical Nutrition · doi:10.1016/j.clnu.2026.106678
Self-citationWu, X., Zhang, W.-W., Bo-hu, W., & Tang, Y.-F. (2026) · Gastroenterology Research and Practice · doi:10.1155/grp/1090542
Weber, K. S., Schlesinger, S., Lang, A., Goletzke, J., Övermöhle, C., Strathmann, E. A., Straßburger, K., Singh, N., Zaharia, O., Trenkamp, S., et al. (2026) · Scientific Reports · doi:10.1038/s41598-026-57026-y
Self-citationInsulin Action in Liver, Skeletal, Muscle, and Adipose Tissue: A Focus on Humans
Trinks, N., Schön, M., Gancheva, S., & Roden, M. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-11985-9.00009-3
Self-citationMetabolic Regulation by Adipokines, Hepatokines, and Myokines
Stefan, N., White, M. F., & Häring, H. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-11985-9.00012-3
Refining the Genetic Contribution to Type 2 Diabetes Subtypes
Al‐Thani, N. M., Toor, S. M., Umlai, U. I., Aliyu, U., Suhre, K., & Albagha, O. (2026) · Diabetes Obesity and Metabolism · doi:10.1111/dom.71159
Advanced Data Analysis Methods for Wearable Device Data
Xu, W., Zhang, W., Chen, T., Sakal, C., Yao, X., & Li, X. (2026) · Springer eBooks · doi:10.1007/978-3-032-19984-3_1
Clustering of Diabetes: Implications for Personalized Treatment
Abdel-Sater, K. A. (2026) · The Russian Archives of Internal Medicine · doi:10.20514/2226-6704-2026-16-4-260-266
Immunometabolic endotypes define distinct clinical trajectories in type 2 diabetes
Vuong, T. B., Delépine, C., Ratter-Rieck, J. M., Rinaldi, E., Julla, J., Creussot, E., Diedisheim, M., Raverdy, V., Liu, E., Fischer, J. S., et al. (2026) · Cell Metabolism · doi:10.1016/j.cmet.2026.07.027
Self-citationPrecision medicine: personalizing treatments for improved outcomes
Papadopoulou, P., & Stratakis, C. A. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-40572-3.00015-0
Diabetes and Tuberculosis: harmonization of population-based datasetsPreprint
Yllu, A. G., Edupulapati, B., & Carrillo-Larco, R. M. (2026) · Research Square · doi:10.21203/rs.3.rs-11311043/v1
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
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