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Circulating microRNAs as novel biomarkers for diabetes mellitus
Open accessAbstract
Diabetes mellitus is characterized by insulin secretion from pancreatic β cells that is insufficient to maintain blood glucose homeostasis. Autoimmune destruction of β cells results in type 1 diabetes mellitus, whereas conditions that reduce insulin sensitivity and negatively affect β-cell activities result in type 2 diabetes mellitus. Without proper management, patients with diabetes mellitus develop serious complications that reduce their quality of life and life expectancy. Biomarkers for early detection of the disease and identification of individuals at risk of developing complications would greatly improve the care of these patients. Small non-coding RNAs called microRNAs (miRNAs) control gene expression and participate in many physiopathological processes. Hundreds of miRNAs are actively or passively released in the circulation and can be used to evaluate health status and disease progression. Both type 1 diabetes mellitus and type 2 diabetes mellitus are associated with distinct modifications in the profile of miRNAs in the blood, which are sometimes detectable several years before the disease manifests. Moreover, circulating levels of certain miRNAs seem to be predictive of long-term complications. Technical and scientific obstacles still exist that need to be overcome, but circulating miRNAs might soon become part of the diagnostic arsenal to identify individuals at risk of developing diabetes mellitus and its devastating complications.
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Citations
Cites
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
Diagnosis and Classification of Diabetes Mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc11-s062 · Cited by 14,094
The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14
Lee, R. C., Feinbaum, R. L., & Ambros, V. (1993) · Cell · doi:10.1016/0092-8674(93)90529-y · Cited by 12,948
Valadi, H., Ekström, K., Bossios, A., Sjöstrand, M., Lee, J. J., & Lötvall, J. O. (2007) · Nature Cell Biology · doi:10.1038/ncb1596 · Cited by 12,834
Circulating microRNAs as stable blood-based markers for cancer detection
Mitchell, P. S., Parkin, R. K., Kroh, E. M., Fritz, B. R., Wyman, S. K., Pogosova-Agadjanyan, E. L., Peterson, A., Noteboom, J., O'Briant, K. C., Allen, A., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804549105 · Cited by 7,969
IDF Diabetes Atlas: Global estimates for the prevalence of diabetes for 2015 and 2040
Ogurtsova, K., Fernandes, J. D. D. R., Huang, Y., Linnenkamp, U., Guariguata, L., Cho, N. H., Cavan, D. A., Shaw, J. E., & Makaroff, L. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.03.024 · Cited by 7,138
Chen, X., Ba, Y., Ma, L., Cai, X., Yin, Y., Wang, K., Guo, J., Zhang, Y., Chen, J., Guo, X., et al. (2008) · Cell Research · doi:10.1038/cr.2008.282 · Cited by 4,560
MicroRNA genes are transcribed by RNA polymerase II
Lee, Y., Kim, M., Han, J., Yeom, K.-H., Lee, S., Baek, S. H., & Kim, V. N. (2004) · The EMBO Journal · doi:10.1038/sj.emboj.7600385 · Cited by 4,556
Wightman, B., Ha, I., & Ruvkun, G. (1993) · Cell · doi:10.1016/0092-8674(93)90530-4 · Cited by 4,292
IDF Diabetes Atlas: Global estimates of the prevalence of diabetes for 2011 and 2030
Whiting, D. R., Guariguata, L., Weil, C., & Shaw, J. E. (2011) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2011.10.029 · Cited by 4,018
Research works printed but not linked: 1
- Guay, C., Menoud, V., Gattesco, S. & Regazzi, R. MicroRNA transfer as a new cell-to-cell communication mode between pancreatic β cells. Diabetologia 55, S95 (2012).
Cited by
Sorted by citations
Items 501–565 of 565
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Lee, E. K., & Kim, W. (2015) · Springer eBooks · doi:10.1007/978-3-319-25124-0_2
Sbruzzi, R. C., Polina, E. R., Crispim, D., Canani, L. H. S., ENOIA, M. E. D., & dos Santos, K. G. (2015)
Delivery and Biological Activity of Therapeutic miRNAs and miRNA Modifiers
Gambari, R. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-405544-5.00039-3
Functional Genomics of MicroRNAs
Velmurugan, G., Dasgupta, A., Krishnan, K., Sivakumar, A., Yacob, J. C., & Ramasamy, S. (2016) · Elsevier eBooks · doi:10.1016/b978-0-444-63667-6.00005-5
Therapeutic Potential of Mesenchymal Stem Cells and miRNAs in Diabetes
Jafarian, A., & Soleimani, M. (2017) · Stem cells in clinical applications · doi:10.1007/978-3-319-55687-1_5
López, Y. O. N., Xie, H., Yi, F., Mathews, C. E., Pasarica, M., Pratley, R. E., & Seyhan, A. A. (2016) · Nature
SURVEY AND SUMMARY Bioinformatic tools for microRNA dissection
Akhtar, M. M., Micolucci, L., Islam, M. S., Olivieri, F., & Procopio, A. D. (2014)
Circulating Non-Coding RNA Biomarkers for Diabetes Mellitus
Sundaram, G. M. (2017) · Current Research in Diabetes & Obesity Journal · doi:10.19080/crdoj.2017.03.555622
Emerging Role of MicroRNA in Diabetes Mellitus
Nair, A. S., & Bagchi, D. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-812019-4.00017-9
Sathyapalan, T., David, R. M., Gooderham, N. J., & Atkin, S. L. (2015) · Endocrine Abstracts · doi:10.1530/endoabs.38.p354
Dong, D., Reece, E. A., & Yang, P. (2017) · Springer eBooks · doi:10.1007/978-3-319-31143-2_101-1
Dong, D., Reece, E. A., & Yang, P. (2019) · Springer eBooks · doi:10.1007/978-3-319-55530-0_101
Bridging the gaps of microRNAs in obesity
Vonhögen, I. G. C. (2020) · doi:10.26481/dis.20201117iv
Bhushan, R., Gupta, D., Rani, A., Upadhyay, S., Tripathi, A., & Dubey, P. K. (2021) · Journal of Endocrine Disorders · doi:10.26420/jendocrdisord.2021.1044
Estudos moleculares nas displasias corticais focais
Avansini, S. H. (2017) · doi:10.47749/t/unicamp.2017.988160
Fodor, A., Rusu, A., Román, G., Suharoschi, R., Vulturar, R., Sitar-Tăut, A., & Cozma, A. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-823928-5.00021-9
sharifzade, M., Emami, M. R., Esmaeili‐bandboni, A., Javanbakht, M. H., & Mirshafiey, A. (2020) · doi:10.21203/rs.2.24834/v1
Discovery of microRNA–mRNA Interaction Through Genomics and Computational Prediction
Ding, J. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816395-5.00008-3
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Oh, J., Riek, A. E., Bauerle, K. T., Dusso, A., McNerney, K. P., Barve, R. A., Darwech, I., Sprague, J., Moynihan, C., Zhang, R. M., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.08.507174
Delivery and Biological Activity of Therapeutic miRNAs and miRNA Modifiers
Gambari, R. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-820719-2.00033-8
Mul, D., Varkevisser, R. D. M., Aanstoot, H., Dekker, P., Birnie, E., Boersma, H. E., Boesten, L. S. M., Brugts, M. P., van Dijk, P. R., Geelhoed-Duijvestijn, P. H. L. M., et al. (2023) · medRxiv · doi:10.1101/2023.08.17.23294197
การตรวจหาภาวะขาดออกซเจนอยางเฉยบพลนหลงการเสยชวต โดยใช miR-155 miR-210 และ miR-373
มาดี, ร., มีศิลปวิกกัย, ก., & วงศ์ไพศาลสิน, ก. (2017) · doi:10.58837/chula.the.2017.1206
Nilforoushzadeh, M. A., Zare, S., Zaraee, E., & Ahmadi, R. (2023) · مجله علمی پزشکی جندی شاپور · doi:10.32598/jsmj.21.6.2593
Estrus Physiology and Potential of Extracellular Vesicular miRNA as Biomarkers: A Theoretical Review
Varra, M., Kumar, V. G., Chandranaik, B. M., Kumar, M. T. S., & Sundaresan, N. R. (2023) · Physiology · doi:10.5772/intechopen.113166
Early detection of celiac disease: an exploration of clinical features and molecular biomarkers
Tan, I. L. (2024) · University of Groningen research database (University of Groningen / Centre for Information Technology) · doi:10.33612/diss.864159868
Chen, J., Ma, S., Luo, B., Hao, H., Li, Y., Yang, H., Zhu, F., Zhang, P., Niu, R., & Pan, P. (2023) · Figshare · doi:10.6084/m9.figshare.24037289
Chen, J., Ma, S., Luo, B., Hao, H., Li, Y., Yang, H., Zhu, F., Zhang, P., Niu, R., & Pan, P. (2023) · Figshare · doi:10.6084/m9.figshare.24037286
Chen, J., Ma, S., Luo, B., Hao, H., Li, Y., Yang, H., Zhu, F., Zhang, P., Niu, R., & Pan, P. (2023) · Figshare · doi:10.6084/m9.figshare.24037283
Qureshi, A. A. (2024) · Journal of Clinical Surgery and Research · doi:10.31579/2768-2757/114
Ma, N., Liu, W., Xu, N., Yin, D., Zheng, P., Wang, G., Yuan, H., Zhang, J., Han, G., Yang, C., et al. (2024) · Journal of Diabetes Investigation · doi:10.1111/jdi.14252
Weale, C. J., Schroeder, C., Matshazi, D. M., Davids, S. F. G., Erasmus, R. T., Kengne, A. P., Davison, G. M., & Matsha, T. E. (2024) · Journal of Diabetes Investigation · doi:10.1111/jdi.14278
de Oliveira, S. G. S. B., Bridi, A., Ferst, J. G., Rossato, B. G., Moresco, R. N., Santos, G. D. O., Prado, C. M., Lauria, M. W., da Silveira, J. C., & Comim, F. V. (2025) · Diabetologie und Stoffwechsel · doi:10.1055/s-0045-1807448
Diagnostic approaches for detection of biomarkers in metabolic disorders
Akash, M. S. H., & Rehman, K. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-36312-2.00003-6
Metabolic disorders associated with childhood obesity
Akash, M. S. H., & Rehman, K. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-36312-2.00012-7
Non-coding molecular determinants of polycystic ovary syndrome: A future treatment potential
Bhandary, P., & Patil, P. (2025) · Journal of Assisted Reproduction and Genetics · doi:10.1007/s10815-025-03547-w
Yu, J., Xia, K., Feng, J., Xu, Z., Zhang, Z., Xiao, G., Zhu, H., Xue, W., Chen, F., & Xie, X. (2025) · Journal of Multidisciplinary Healthcare · doi:10.2147/jmdh.s533519 · Cited by 1
Biochemical study on microRNAs (miR-410, miR-133 and miR-582) in Egyptian type 1 diabetic patients
Hamdy, S. M., Mostafa, L. M., Hussein, S. K., & Ayoub, S. E. (2025) · BMC Endocrine Disorders · doi:10.1186/s12902-025-02111-y
Chen, J., Ma, S., Luo, B., Hao, H., Li, Y., Yang, H., Zhu, F., Zhang, P., Niu, R., & Pan, P. (2023) · Figshare · doi:10.6084/m9.figshare.24037298
Chen, J., Ma, S., Luo, B., Hao, H., Li, Y., Yang, H., Zhu, F., Zhang, P., Niu, R., & Pan, P. (2023) · Figshare · doi:10.6084/m9.figshare.24037271
Chen, J., Ma, S., Luo, B., Hao, H., Li, Y., Yang, H., Zhu, F., Zhang, P., Niu, R., & Pan, P. (2023) · Figshare · doi:10.6084/m9.figshare.24037277
Chen, J., Ma, S., Luo, B., Hao, H., Li, Y., Yang, H., Zhu, F., Zhang, P., Niu, R., & Pan, P. (2023) · Figshare · doi:10.6084/m9.figshare.24037268
Chen, J., Ma, S., Luo, B., Hao, H., Li, Y., Yang, H., Zhu, F., Zhang, P., Niu, R., & Pan, P. (2023) · Figshare · doi:10.6084/m9.figshare.24037256
Abbas, U., Imdad, B., Mughal, S. A., Baloch, I. A., Khan, A. M., & Kamran, D.-E.-S. (2021) · Figshare · doi:10.6084/m9.figshare.15071477
Da'as, S. I., Ahmed, I., Hasan, W., Abdelrahman, D., ALIYEV, E. E., Nisar, S., Bhat, A. A., Joglekar, M. V., Hardikar, A. A., Fakhro, K. A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26572801
Chen, J., Ma, S., Luo, B., Hao, H., Li, Y., Yang, H., Zhu, F., Zhang, P., Niu, R., & Pan, P. (2023) · Figshare · doi:10.6084/m9.figshare.24037265
Chen, J., Ma, S., Luo, B., Hao, H., Li, Y., Yang, H., Zhu, F., Zhang, P., Niu, R., & Pan, P. (2023) · Figshare · doi:10.6084/m9.figshare.24037280
Chen, J., Ma, S., Luo, B., Hao, H., Li, Y., Yang, H., Zhu, F., Zhang, P., Niu, R., & Pan, P. (2023) · Figshare · doi:10.6084/m9.figshare.24037292
Prado, M. S. G., de Jesus, M. L., de Goes, T. C., Mendonça, L. S. O., & Kaneto, C. M. (2020) · Figshare · doi:10.6084/m9.figshare.11992263
Chen, J., Ma, S., Luo, B., Hao, H., Li, Y., Yang, H., Zhu, F., Zhang, P., Niu, R., & Pan, P. (2023) · Figshare · doi:10.6084/m9.figshare.24037304
Iacomino, G., Lauria, F., Russo, P., Venezia, A., Iannaccone, N., Marena, P., Ahrens, W., De Henauw, S., Molnár, D., Eiben, G., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14945117
Abbas, U., Imdad, B., Mughal, S. A., Baloch, I. A., Khan, A. M., & Kamran, D.-E.-S. (2021) · Figshare · doi:10.6084/m9.figshare.15071480
Chen, J., Ma, S., Luo, B., Hao, H., Li, Y., Yang, H., Zhu, F., Zhang, P., Niu, R., & Pan, P. (2023) · Figshare · doi:10.6084/m9.figshare.24037295
Chen, J., Ma, S., Luo, B., Hao, H., Li, Y., Yang, H., Zhu, F., Zhang, P., Niu, R., & Pan, P. (2023) · Figshare · doi:10.6084/m9.figshare.24037262
Chavez-Dominguez, R., Viettri, M., Torres, M. G., Corona-Galvan, I., Hernández-Diego, E., Castañón-Arreola, M., & Carranza, C. (2026) · Frontiers in Endocrinology · doi:10.3389/fendo.2026.1760933
Grieco, G. E., Pedace, E. A., Licata, G., Tomi, S., Starskaia, I., Elo, L. L., Tree Tim, I., Lahesmaa, R., Leete, P., Richardson, S. J., et al. (2026) · medRxiv · doi:10.64898/2026.02.18.26346540
Restaurer la fonction bêta pancréatique de la souris leptine déficiente par la chirurgie bariatrique
Amouyal, C. (2019) · theses.fr (ABES) · doi:10.70675/57e90c8dz951az4b06z95cdzc78f34db6015
Yamada, R., Matsuzaki, J., Kanai∥, T., Ochiya, T., & Masaoka, T. (2026) · Esophagus · doi:10.1007/s10388-026-01237-9
Tsvetkova, V. V., & Todorova, K. N. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27167083
Tang, Y., Zhou, J., Gan, W. Y., Soh, K. G., & Soh, K. G. (2026) · PLoS ONE · doi:10.1371/journal.pone.0358881
Metadata
- Authors
- Guay, C., & Regazzi, R.
- Affiliations
- University of Lausanne (CH)
- Corresponding author
- Regazzi, Romano
- Venue
- Nature Reviews Endocrinology
- Published
- 2013-04-30
- Volume
- 9
- Issue
- 9
- Pages
- 513-521
- ISSN
- 1759-5029 (ISSN-L)
- 1759-5037
- OpenAlex
- W2061998727
- Cited by
- 563
- References
- 102
- Citations by year
- 2026: 6 · 2025: 20 · 2024: 20 · 2023: 41 · 2022: 28 · 2021: 55 · 2020: 54 · 2019: 57 · 2018: 71 · 2017: 72 · 2016: 49 · 2015: 54 · 2014: 32 · 2013: 3
- FWCI
- 3.81
- Type
- journal article
- Language
- en
- Open access
- green
- iris.unil.ch
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Endocrinology (publishedVersion)
- PubMed (publishedVersion)
- IRIS (submittedVersion)
- SERVAL (Université de Lausanne) (submittedVersion, other-oa)
- Funders
- National Science Foundation
- European Foundation for the Study of Diabetes
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Société Francophone du Diabète
- Servier
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Extracellular vesicles in disease
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pancreatic function and diabetes
- Keywords
- circulating microRNAs, diabetes mellitus, type 1 diabetes, type 2 diabetes, biomarkers, early diagnosis, disease complications, pancreatic beta cells, insulin secretion, non-coding RNA
- MeSH terms
- Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Humans, MicroRNAs
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