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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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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
Flagged first, then by citations
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 301–400 of 565
Xu, S., & Hazlett, L. D. (2019) · Microorganisms · doi:10.3390/microorganisms7090359 · Cited by 21
Lagatie, O., Loy, T. V., Tritsmans, L., & Stuyver, L. J. (2014) · Virology Journal · doi:10.1186/1743-422x-11-41 · Cited by 21
Yan, Y., Dong, J., Li, Y., Lu, Y., Yang, K., Wang, T., Zhang, X., & Xiao, H. (2022) · The FASEB Journal · doi:10.1096/fj.202200149rr · Cited by 21
Estrella, S., García‐Díaz, D. F., Ethel Codner, D., Camacho-Guillén, P., & Pérez‐Bravo, F. (2016) · Medicina Clínica (English Edition) · doi:10.1016/j.medcle.2016.10.014 · Cited by 20
Kulkarni, N., Ganu, M. U., Godbole, S. G., & Deo, S. S. (2018) · The Indian Journal of Medical Research · doi:10.4103/ijmr.ijmr_852_16 · Cited by 20
Biological Activity Of miRNA-27a Using Peptide-based Drug Delivery Systems
Schachner-Nedherer, A.-L., Werzer, O., Kornmueller, K., Prassl, R., & Zimmer, A. (2019) · International Journal of Nanomedicine · doi:10.2147/ijn.s208446 · Cited by 20
Cavallari, C., Figliolini, F., Tapparo, M., Cedrino, M., Trevisan, A., Positello, L., Rispoli, P., Solini, A., Migliaretti, G., Camussi, G., et al. (2020) · Scientific Reports · doi:10.1038/s41598-019-55783-7 · Cited by 20
Wilson, R. A., Deasy, W. J., Hayes, A., & Cooke, M. B. (2017) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201600943 · Cited by 20
Principais aspectos fisiopatológicos e clínicos presentes no Diabetes mellitus tipo I (autoimune)
da Costa, B. B., & Moreira, T. A. (2021) · Research Society and Development · doi:10.33448/rsd-v10i14.21773 · Cited by 19
de Gonzalo‐Calvo, D., Viladés, D., Martínez‐Camblor, P., Vea, À., Ferrero‐Gregori, A., Nasarre, L., Bornachea, O., Vega, J. S., Leta, R., Puig, N., et al. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8060780 · Cited by 19
Mahrooz, A., & Mackness, M. (2020) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000687 · Cited by 19
The role of micro-RNAs in neuropathic pain—a scoping review
Sampath, K. K., Belcher, S., Hales, J., Thomson, O. P., Farrell, G., Gisselman, A. S., Katare, R., & Tumilty, S. (2023) · PAIN Reports · doi:10.1097/pr9.0000000000001108 · Cited by 18
Estrella, S., García‐Díaz, D. F., Ethel Codner, D., Camacho-Guillén, P., & Pérez‐Bravo, F. (2016) · Medicina Clínica · doi:10.1016/j.medcli.2016.05.016 · Cited by 18
Li, S., He, K., Liao, R., Chen, C., Chen, X., & Cai, C. (2017) · Talanta · doi:10.1016/j.talanta.2017.07.008 · Cited by 18
A Protocol To Characterize Peptide-Based Drug Delivery Systems for miRNAs
Schachner-Nedherer, A.-L., Werzer, O., & Zimmer, A. (2019) · ACS Omega · doi:10.1021/acsomega.8b03562 · Cited by 20
Yaralı, E., Kanat, E., Eraç, Y., & Erdem, A. (2019) · Electroanalysis · doi:10.1002/elan.201900353 · Cited by 18
Assessment of the expression level of miRNA molecules using a semi-quantitative RT-PCR approach
Andoorfar, S., Tafreshi, S. A. H., & Rezvani, Z. (2019) · Molecular Biology Reports · doi:10.1007/s11033-019-04959-5 · Cited by 17
Circulating miR-216a as a biomarker of metabolic alterations and obesity in women
Vonhögen, I. G. C., Mohseni, Z., Winkens, B., Xiao, K., Thum, T., Calore, M., Martins, P. A. D. C., Windt, L. J. D., Spaanderman, M. E. A., & Ghossein‐Doha, C. (2020) · Non-coding RNA Research · doi:10.1016/j.ncrna.2020.08.001 · Cited by 17
Iacomino, G., Lauria, F., Russo, P., Venezia, A., Iannaccone, N., Marena, P., Ahrens, W., Henauw, S. D., Molnár, D., Eiben, G., et al. (2021) · Genes & Nutrition · doi:10.1186/s12263-021-00689-1 · Cited by 17
Emerging role of microRNAs and long non-coding RNAs in COVID-19 with implications to therapeutics
Arman, K., Dalloul, Z., & Bozgeyi̇k, E. (2023) · Gene · doi:10.1016/j.gene.2023.147232 · Cited by 18
Arte, P. A., Tungare, K., Bhori, M., Jobby, R., & Aich, J. (2023) · Human Cell · doi:10.1007/s13577-023-01007-0 · Cited by 18
Oligonucleotide-based label-free detection with optical microresonators: strategies and challenges
Tören, P., Özgür, E., & Bayındır, M. (2016) · Lab on a Chip · doi:10.1039/c6lc00521g · Cited by 17
Isaacs, S. R., Wang, J., Kim, K. W., Yin, C., Zhou, L., Mi, Q. S., & Craig, M. E. (2016) · Current Diabetes Reports · doi:10.1007/s11892-016-0819-2 · Cited by 18
The roles of non-coding RNAs in cardiac regenerative medicine
Choong, O. K., Lee, D. S., Chen, C.-Y., & Hsieh, P. C. H. (2017) · Non-coding RNA Research · doi:10.1016/j.ncrna.2017.06.001 · Cited by 17
Zhang, W., Zhang, J., Zhang, Q., Hu, F., Han, W., & Gu, Y. (2018) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2018.01.236 · Cited by 17
Ghasemi, H., Sabati, Z., Ghaedi, H., Salehi, Z., & Alipoor, B. (2019) · Molecular Biology Reports · doi:10.1007/s11033-019-04937-x · Cited by 16
Engin, A. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-49844-3_4 · Cited by 18
Replication study reveals miR-483-5p as an important target in prevention of cardiometabolic disease
Gallo, W., Ottosson, F. A., Kennbäck, C., Jujić, A., Esguerra, J. L. S., Eliasson, L., & Melander, O. (2021) · BMC Cardiovascular Disorders · doi:10.1186/s12872-021-01964-0 · Cited by 17
Singhal, A., Agrawal, A., & Ling, J. (2018) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.13553 · Cited by 17
Molecular mechanisms underlying hepatitis C virus infection-related diabetes
Ding, Y., Li, G., Zhou, Z., & Deng, T. (2021) · Metabolism · doi:10.1016/j.metabol.2021.154802 · Cited by 16
Kappeler, L. (2022) · Cells · doi:10.3390/cells11233711 · Cited by 17
Zhao, Y., Pu, D., Sun, Y., Chen, J., Luo, C., Wang, M., Zhou, J., Lv, A., Zhu, S., Liao, Z., et al. (2017) · Experimental Cell Research · doi:10.1016/j.yexcr.2017.12.030 · Cited by 16
MicroRNA: A mediator of diet-induced cardiovascular protection
Collado, A., Jin, H. H., Pernow, J., & Zhou, Z. (2021) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2021.07.022 · Cited by 17
Circulating microRNAs Correlated with Bone Loss Induced by 45 Days of Bed Rest
Ling, S., Zhong, G., Sun, W., Liang, F., Wu, F., Li, H., Li, Y., Zhao, D., Song, J., Jin, X., et al. (2017) · Frontiers in Physiology · doi:10.3389/fphys.2017.00069 · Cited by 16
Lan, X., Han, J., Wang, B., & Sun, M. (2022) · Physiological Genomics · doi:10.1152/physiolgenomics.00105.2021 · Cited by 15
Greco, M., Mirabelli, M., Salatino, A., Accattato, F., Aiello, V., Brunetti, F. S., CHIEFARI, E. D., Pullano, S. A., Fiorillo, A. S., FOTI, D. P., et al. (2023) · Diagnostics · doi:10.3390/diagnostics13142443 · Cited by 15
Kimura, Y., Tamasawa, N., Matsumura, K., Murakami, H., Yamashita, M., Matsuki, K., Tanabe, J., Murakami, H., Matsui, J., & Daimon, M. (2016) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.33670 · Cited by 15
Amouyal, C., Castel, J., Guay, C., Lacombe, A., Denom, J., Migrenne, S., Rouault, C., Marquet, F., Georgiadou, E., Stylianides, T., et al. (2020) · EBioMedicine · doi:10.1016/j.ebiom.2020.102895 · Cited by 16
Self-citationTime-Gated Luminescence Acquisition for Biochemical Sensing: miRNA Detection
García‐Fernández, E., Pernagallo, S., Gonzalez‐Vera, J. A., Ruedas-Rama, M. J., Díaz‐Mochon, J. J., & Orte, Á. (2019) · Springer series on fluorescence · doi:10.1007/4243_2018_4 · Cited by 15
Masi, L. N., Lotufo, P. A., Ferreira, F. M., Rodrigues, A. C., Serdan, T. D. A., Souza‐Siqueira, T., Braga, A. A., Saldarriaga, M. E. G., Alba‐Loureiro, T. C., Borges, F. T., et al. (2021) · Physiological Reports · doi:10.14814/phy2.14731 · Cited by 14
Ferraz, R. S., Santos, L. C. B., da-Silva-Cruz, R. L., Braga-da-Silva, C., de Magalhães, L. L., Ribeiro-dos-Santos, A., Vidal, A. F., Vinasco‐Sandoval, T., Reis-das-Mercês, L., Sena-dos-Santos, C., et al. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.1033809 · Cited by 14
miRNAs: Nanomachines That Micromanage the Pathophysiology of Diabetes Mellitus
Sharma, S., Mathew, A. B., & Chugh, J. (2017) · Advances in clinical chemistry · doi:10.1016/bs.acc.2017.06.003 · Cited by 14
Construction of a Potential Breast Cancer‐Related miRNA‐mRNA Regulatory Network
Liu, X., Chen, F., Tan, F., Li, F., Yi, R., Yang, D., & Zhao, X. (2020) · BioMed Research International · doi:10.1155/2020/6149174 · Cited by 14
Lo, W., Wang, S., & Wang, H.-J. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.01091 · Cited by 14
miRNAs as biomarkers for diagnosis of type 2 diabetes: A systematic review
González‐Sánchez, L. E., Ortega‐Camarillo, C., Contreras‐Ramos, A., & Barajas-Nava, L. A. (2021) · Journal of Diabetes · doi:10.1111/1753-0407.13166 · Cited by 15
Margaritis, K., Margioula‐Siarkou, G., Margioula‐Siarkou, C., Petousis, S., Kotanidou, E. P., Christoforidis, A., Pavlou, E., & Galli‐Τsinopoulou, A. (2021) · European Journal of Clinical Investigation · doi:10.1111/eci.13510 · Cited by 13
Abdelaty, T. A. E. F., Morsy, E. Y., Elsayed, E. T., Elrahmany, S. M., & Lashen, S. A. A. (2020) · Clinical Diabetology · doi:10.5603/dk.2020.0045 · Cited by 14
Kianmehr, A., Faraoni, I., Küçük, Ö., & Mahrooz, A. (2021) · European Journal of Clinical Microbiology & Infectious Diseases · doi:10.1007/s10096-021-04264-9 · Cited by 14
He, Y.-L., Li, Y.-Q., Zhai, Z., Liu, P., Nie, L., Zheng, Y., Hou, J., Huo, W., Mao, Z.-X., Zhang, Z.-Z., et al. (2022) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2022.11589 · Cited by 12
., G. X., Qi, K., Ji, Y., An-qun, W., Jing, M., & Zou, L. (2018) · Brazilian Journal of Medical and Biological Research · doi:10.1590/1414-431x20187816 · Cited by 14
Functional DNA hexahedron for real-time detection of multiple microRNAs in living cells
Dong, J., Dong, H., Dai, W., Meng, X., Zhang, K., Cao, Y., Yang, F., & Zhang, X. (2019) · Analytica Chimica Acta · doi:10.1016/j.aca.2019.06.034 · Cited by 14
Amoli, M., Gholami, M., Asgarbeik, S., Razi, F., Nasli‐Esfahani, E., Zoughi, M., Vahidi, A., & Larijani, B. A. (2020) · Journal of Research in Medical Sciences · doi:10.4103/jrms.jrms_751_19 · Cited by 14
Xiang, Y. (2015) · Oncotarget · doi:10.18632/oncotarget.4795 · Cited by 14
AngiomiRs: Potential Biomarkers of Pregnancy’s Vascular Pathologies
Rodríguez, L. L. S., González-Teshima, L. Y., Forero-Forero, J. V., & Castillo, A. (2015) · Journal of Pregnancy · doi:10.1155/2015/320386 · Cited by 13
Ghaedi, H., Bastami, M., Jahani, M. M., Alipoor, B., Tabasinezhad, M., Ghaderi, O., Nariman‐Saleh‐Fam, Z., Mirfakhraie, R., Movafagh, A., Omrani, M. D., et al. (2016) · Biochemical Genetics · doi:10.1007/s10528-016-9713-5 · Cited by 13
A Brief Review of Diagnostic Techniques and Clinical Management in Chronic Kidney Disease
Chouhan, A. S., Kaple, M., & Hingway, S. R. (2023) · Cureus · doi:10.7759/cureus.49030 · Cited by 17
The circulating microRNome demonstrates distinct lymphocyte subset‐dependent signatures
de Candia, P., Torri, A., Fedeli, M., Viganò, V., Carpi, D., Gorletta, T., Casorati, G., Pagani, M., Dellabona, P., & Abrignani, S. (2015) · European Journal of Immunology · doi:10.1002/eji.201545787 · Cited by 13
Lin, C., Law, B. F., Siegel, P. D., & Hettick, J. M. (2018) · Biomarkers · doi:10.1080/1354750x.2018.1508308 · Cited by 13
Research on polycystic ovary syndrome: a bibliometric analysis from 2009 to 2019
Shi, M., Huang, W., Shu, L., Hou, G., Guan, Y., & Song, G. (2020) · Gynecological Endocrinology · doi:10.1080/09513590.2020.1807501 · Cited by 13
Can circulating miR-7-1-5p, and miR-33a-5p be used as markers of T2D patients?
Saeidi, L., Shahrokhi, S. Z., Sadatamini, M., Jafarzadeh, M., & Kazerouni, F. (2021) · Archives of Physiology and Biochemistry · doi:10.1080/13813455.2021.1871762 · Cited by 13
Pang, W., Xing, Y., Morais, C. L. M., Lao, Q., Li, S., Qiao, Z., Li, Y., Singh, M. N., Baraúna, V. G., Martin, F. L., et al. (2023) · The Analyst · doi:10.1039/d3an01519j · Cited by 12
Jin, Y., Wan, K., Liu, C., Cheng, W., & Wang, R. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1401342 · Cited by 12
Tobaruela-Resola, A. L., Riezu‐Boj, J. I., Milagro, F. I., Mogna-Peláez, P., Herrero, J. I., Elorz, M., Benito, A., Tur, J. A., Martínez, J. A., Abete, I., et al. (2024) · Journal of Endocrinological Investigation · doi:10.1007/s40618-024-02499-9 · Cited by 12
Akil, A.-S. A.-S., Jerman, L. F., Yassin, E., Fakhro, K. A., Jeya, S., & Al-Kurbi, A. A. (2020) · Cells · doi:10.3390/cells9112403 · Cited by 12
Joglekar, M. V., Kunte, P. S., Wong, W. K. M., Bhat, D., Satoor, S. N., Patil, R. R., Karandikar, M. S., Fall, C. H. D., Yajnik, C. S., & Hardikar, A. A. (2022) · Journal of Developmental Origins of Health and Disease · doi:10.1017/s2040174422000137 · Cited by 12
Dzung, P. T., Trung, N. T., Khanh, L. V., Chinh, D. D., De, D. V., Tong, H. V., & Toàn, N. L. (2023) · International Journal of Medical Sciences · doi:10.7150/ijms.84899 · Cited by 12
Beltramo, E., Mazzeo, A., & Porta, M. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms25010015 · Cited by 15
Zhang, W., Zhang, J., Zhang, Q., Hu, F., & Gu, Y. (2017) · Analytical Biochemistry · doi:10.1016/j.ab.2017.12.004 · Cited by 12
Li, C., He, L., Jiang, S., Mo, R., Yan, X., Qian, Z., Zhou, C., Sun, S., Hong, P., & Huang, Y. (2019) · Electrochemistry Communications · doi:10.1016/j.elecom.2019.03.008 · Cited by 12
The role of proteomics in assessing beta-cell dysfunction and death in type 1 diabetes
Nakayasu, E. S., Qian, W., Evans‐Molina, C., Mirmira, R. G., Eizirik, D. L., & Metz, T. (2019) · Expert Review of Proteomics · doi:10.1080/14789450.2019.1634548 · Cited by 14
Assmann, T. S., Cuevas‐Sierra, A., Salas‐Pérez, F., Riezu‐Boj, J. I., Milagro, F. I., & Martínez, J. A. (2020) · Chronobiology International · doi:10.1080/07420528.2020.1782419 · Cited by 12
Jiang, H., Zhou, Y., Zhou, P., Zhang, T., Hu, J., & Bai, X. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.662666 · Cited by 12
microRNAs in Type 1 Diabetes: Roles, Pathological Mechanisms, and Therapeutic Potential
Cho, H., Ha, S. E., Singh, R., Kim, D., & Ro, S. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26073301 · Cited by 12
Tao, X., Xu, Z., & Men, X. (2016) · PLoS ONE · doi:10.1371/journal.pone.0162776 · Cited by 11
Sereshgi, M. M. A., Abdollahpour‐Alitappeh, M., Mahdavi, M., Ranjbar, R., Ahmadi, K., Taheri, R. A., & Fasihi‐Ramandi, M. (2019) · Microbial Pathogenesis · doi:10.1016/j.micpath.2019.03.029 · Cited by 11
Differential microRNA Profile in Operational Tolerance: A Potential Role in Favoring Cell Survival
Cabral, A. A., Cândido, D. D. S., Monteiro, S. M., Lemos, F. B. C., Saitovitch, D., Noronha, I. L., Alves, L. F., Geraldo, M. V., Kalil, J. E., Cunha‐Neto, E., et al. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.00740 · Cited by 11
Serum miR-17 levels are downregulated in obese, African American women with elevated HbA1c
Williams, A., Dougal, D. M., Jenkins, W., Greene, N., Williams-DeVane, C., & Kimbro, K. S. (2019) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-019-00404-3 · Cited by 11
Signature transcriptome analysis of stage specific atherosclerotic plaques of patients
Verma, S., Kumar, A., Narang, R., Bisoi, A. K., & Mitra, D. K. (2022) · BMC Medical Genomics · doi:10.1186/s12920-022-01250-8 · Cited by 12
Epigenetic Contribution to the Development and Progression of Vascular Diabetic Complications
Rodriguez, H., & El‐Osta, A. (2018) · Antioxidants and Redox Signaling · doi:10.1089/ars.2017.7347 · Cited by 11
Emerging Biomarkers and Nanobiosensing Strategies in Diabetes
Baranwal, A., Bansal, V., & Shukla, R. (2025) · Biosensors · doi:10.3390/bios15100639 · Cited by 14
Elucidate multidimensionality of type 1 diabetes mellitus heterogeneity by multifaceted information
Chen, S.-J., Cheng, J.-L., Lee, S.-A., Wang, T.-Y., Jang, J.-Y., & Chen, K.-C. (2021) · Scientific Reports · doi:10.1038/s41598-021-00388-2 · Cited by 10
Understanding molecular mechanisms and miRNA-based targets in diabetes foot ulcers
Anuradha, U., Mehra, N. K., & Khatri, D. K. (2024) · Molecular Biology Reports · doi:10.1007/s11033-023-09074-0 · Cited by 9
Shen, W., Hou, Y., Yi, Y., Li, F., He, C., & Wang, J. (2024) · Journal of the American Chemical Society · doi:10.1021/jacs.4c02901 · Cited by 10
Characterizing Circulating microRNA Signatures of Type 2 Diabetes Subtypes
Sulaiman, F., Khyriem, C., Dsouza, S., Abdul, F., Alkhnbashi, O. S., Faraji, H., Farooqi, M. H., Alawadi, F., Hassanein, M., Ahmed, F. S., et al. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26020637 · Cited by 11
Ghaneh, T., Zeinali, F., Babini, H., Astaraki, S., & Hassan‐Zadeh, V. (2020) · Archives of Physiology and Biochemistry · doi:10.1080/13813455.2020.1839105 · Cited by 10
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. (2023) · Journal of Translational Medicine · doi:10.1186/s12967-023-03893-2 · Cited by 10
Monjezi, A., Khedri, A., Zakerkish, M., & Mohammadzadeh, G. (2021) · International Journal of Diabetes in Developing Countries · doi:10.1007/s13410-021-00966-0 · Cited by 10
Nucleic acid biomarkers of β cell stress and death in type 1 diabetes
Syed, F., & Evans‐Molina, C. (2016) · Current Opinion in Endocrinology Diabetes and Obesity · doi:10.1097/med.0000000000000261 · Cited by 10
Foudi, N., & Legeay, S. (2021) · Fundamental and Clinical Pharmacology · doi:10.1111/fcp.12665 · Cited by 10
Shivapurkar, N., Weiner, L. M., Marshall, J. L., Madhavan, S., Mays, A. D., Juhl, H. H., & Wellstein, A. (2014) · PLoS ONE · doi:10.1371/annotation/86f9cc5c-58b7-4c07-8742-c3036c13e73a · Cited by 10
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Shahouzehi, B., Eghbalian, M., Fallah, H., Aminizadeh, S., & Masoumi‐Ardakani, Y. (2021) · Molecular Biology Reports · doi:10.1007/s11033-021-06425-7 · Cited by 9
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Ferracin, M., Salamon, I., Lupini, L., Miotto, E., Sabbioni, S., & Negrini, M. (2016) · Journal of Visualized Experiments · doi:10.3791/54102 · Cited by 9
Xian, Y., Dong, L., Jia, Y. R., Lin, Y., Jiao, W., & Wang, Y. (2018) · Cell Biology International · doi:10.1002/cbin.11048 · Cited by 9
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Li, X. (2014) · Journal of Biomolecular Research & Therapeutics · doi:10.4172/2167-7956.1000119 · Cited by 8
Nielsen, T., Crawford, N., Martell, M., Khalil, B., Imtiaz, F., Newell-Caito, J. L., & Caito, S. W. (2021) · Chemical Research in Toxicology · doi:10.1021/acs.chemrestox.1c00306 · Cited by 8
Wu, C., Liu, X., Zheng, Y., He, W., Yang, G., Wu, P., & Cai, C. (2018) · Talanta · doi:10.1016/j.talanta.2018.04.080 · Cited by 8
Rashad, N. M., Ezzat, T. M., Allam, R. M., Soliman, M. H., & Yousef, M. S. (2019) · The Egyptian Journal of Internal Medicine · doi:10.4103/ejim.ejim_125_19 · Cited by 8
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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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