Academic literature on the topic 'Diabetes biomarkers'
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Journal articles on the topic "Diabetes biomarkers"
Caveney, Erica J., and Oren J. Cohen. "Diabetes and Biomarkers." Journal of Diabetes Science and Technology 5, no. 1 (January 2011): 192–97. http://dx.doi.org/10.1177/193229681100500127.
Full textPadilla-Martinez, Felipe, Gladys Wojciechowska, Lukasz Szczerbinski, and Adam Kretowski. "Circulating Nucleic Acid-Based Biomarkers of Type 2 Diabetes." International Journal of Molecular Sciences 23, no. 1 (December 28, 2021): 295. http://dx.doi.org/10.3390/ijms23010295.
Full textCatalina, Marta Olivera-Santa, Pedro C. Redondo, Maria P. Granados, Carlos Cantonero, Jose Sanchez-Collado, Letizia Albarran, and Jose J. Lopez. "New Insights into Adipokines as Potential Biomarkers for Type-2 Diabetes Mellitus." Current Medicinal Chemistry 26, no. 22 (September 20, 2019): 4119–44. http://dx.doi.org/10.2174/0929867325666171205162248.
Full textKim, Kiyoun, Soohyun Ahn, Johan Lim, Byong Chul Yoo, Jin-Hyeok Hwang, and Woncheol Jang. "Detection of Pancreatic Cancer Biomarkers Using Mass Spectrometry." Cancer Informatics 13s7 (January 2014): CIN.S16341. http://dx.doi.org/10.4137/cin.s16341.
Full textKulkarni, R. N. "Identifying Biomarkers of Subclinical Diabetes." Diabetes 61, no. 8 (July 23, 2012): 1925–26. http://dx.doi.org/10.2337/db12-0599.
Full textTooley, James E., and Kevan C. Herold. "Biomarkers in type 1 diabetes." Current Opinion in Endocrinology & Diabetes and Obesity 21, no. 4 (August 2014): 287–92. http://dx.doi.org/10.1097/med.0000000000000076.
Full textLaakso, Markku. "Biomarkers for type 2 diabetes." Molecular Metabolism 27 (September 2019): S139—S146. http://dx.doi.org/10.1016/j.molmet.2019.06.016.
Full textLi, Xuejie, Zhenzhou Zhao, Chuanyu Gao, Lixin Rao, Peiyuan Hao, Dongdong Jian, Wentao Li, Haiyu Tang, and Muwei Li. "The Diagnostic Value of Whole Blood lncRNA ENST00000550337.1 for Pre-Diabetes and Type 2 Diabetes Mellitus." Experimental and Clinical Endocrinology & Diabetes 125, no. 06 (April 13, 2017): 377–83. http://dx.doi.org/10.1055/s-0043-100018.
Full textHerzog, Katharina, Tomas Andersson, Valdemar Grill, Niklas Hammar, Håkan Malmström, Mats Talbäck, Göran Walldius, and Sofia Carlsson. "Alterations in Biomarkers Related to Glycemia, Lipid Metabolism, and Inflammation up to 20 Years Before Diagnosis of Type 1 Diabetes in Adults: Findings From the AMORIS Cohort." Diabetes Care 45, no. 2 (December 7, 2021): 330–38. http://dx.doi.org/10.2337/dc21-1238.
Full textMi, Qing-Sheng, Metthew Weiland, Ruiqun Qi, and Li Zhou. "Global miRNA expression profiles uncover serum miRNAs as novel biomarkers for diabetes staging in NOD mice (P3267)." Journal of Immunology 190, no. 1_Supplement (May 1, 2013): 192.19. http://dx.doi.org/10.4049/jimmunol.190.supp.192.19.
Full textDissertations / Theses on the topic "Diabetes biomarkers"
Wu, Di. "Discovery of glyco-biomarkers for diabetes and complications in diabetes." Thesis, University of Dundee, 2015. https://discovery.dundee.ac.uk/en/studentTheses/e2eee4c8-c74c-4fc6-8658-ab51ecd793de.
Full textDias, Stephanie Charmaine. "Investigating Molecular Biomarkers During Gestational Diabetes Mellitus." Thesis, University of Pretoria, 2019. http://hdl.handle.net/2263/73566.
Full textThesis (PhD)--University of Pretoria, 2019.
National Research Foundation (NRF) of South Africa, Thuthuka Grant (unique grant no. 99391).
South African Medical Research Council (SAMRC)
Obstetrics and Gynaecology
PhD
Unrestricted
Wang, Yudong, and 汪玉東. "Neutrophil serine proteases as novel biomarkers for autoimmune diabetes." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/208026.
Full textpublished_or_final_version
Medicine
Doctoral
Doctor of Philosophy
Azmi, Shazli. "Longitudinal studies in metabolic neuropathies : development of imaging biomarkers." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/longitudinal-studies-in-metabolic-neuropathies-development-of-imaging-biomarkers(6913e957-0e81-4af8-a544-f943f0105b8c).html.
Full textAnthony, Yancke. "Identification and validation of micrornas for diagnosing type 2 diabetes : an in silico and molecular approach." University of the Western Cape, 2015. http://hdl.handle.net/11394/4713.
Full textType 2 diabetes mellitus (T2DM), a metabolic disease characterized by chronic hyperglycemia, is the most prevalent form of diabetes globally, affecting approximately 95 % of the total number of people with diabetes i.e. approximately 366 million. Furthermore, it is also the most prevalent form in South Africa (SA), affecting approximately 3.5 million individuals. This disease and its adverse complications can be delayed or prevented if detected early. Standardized diagnostic tests for T2DM have a few limitations which include the inability to predict the future risk of normal glucose tolerance individuals developing T2DM, they are dependent on blood glucose concentration, its invasiveness, and they cannot specify between T1DM and T2DM. Therefore, there is a need for biomarkers which could be used as a tool for the early and specific detection of T2DM. MicroRNAs are small non-coding RNA molecules which play a key role in controlling gene expression and certain biological processes. Studies show that dysregulation of microRNAs may lead to various diseases including T2DM, and thus, may be useful biomarkers for disease detection. Therefore, identifying biomarkers like microRNAs as a tool for the early and specific detection of T2DM, have great potential for diagnostic purposes. The main focus of this investigation, therefore, is the early detection of T2DM by the identification and validation of novel biomarkers. Furthermore, based on previous studies, the aim of the investigation was to identify differentially expressed miRNAs as well as identify their potential target genes associated with the onset and progression of T2DM. An in silico approach was used to identify miRNAs found to be differentially expressed in the serum/plasma of T2DM individuals. Three publically available target prediction software were used for target gene prediction of the identified miRNA. The target genes were subjected to functional analysis using a web-based software, namely DAVID. Functions which were clustered with an enrichment score > 1.3 were considered significant. The ranked target genes mostly had gene ontologies linked with “transcription regulation”, “neuron signalling, and “metal ion binding”. The ranked target genes were then split into two lists – an up-regulated (ur) miRNA targeted gene list and a down-regulated (dr) miRNA targeted gene list. The in silico method used in this investigation produced a final total of 4 miRNAs: miR-dr-1, miR-ur-1, miR-ur-2, and miR-ur-3. Based on the bioinformatics results, miR-dr-1 and its target genes LDLR, PPARA and CAMTA1, seemed the most promising miRNA for biomarker validation, due to the function of the target genes being associated with T2DM onset and progression. The expression levels of the miRNAs were then profiled in kidney tissue of male Wistar rats that were on a high fat diet (HFD), streptozotocin (STZ)-induced T1DM, and non-diabetic control rats via qRT-PCR analysis. The hypothesis was that similar miRNA expression would be found in the HFD kidney samples compared to serum expression levels of the miRNA obtained from the two databases, since kidneys are involved in cleansing the blood from impurities. This hypothesis proved to be true for all miRNAs except for miR-ur-2. Additionally, miR-ur-1 seemed the most significant miRNA due to it having different expression ratios for T1DM and T2DM (i.e. -7.65 and 4.2 fold, respectively). Future work, therefore, include validation of the predicted target genes to the miRNAs of interest i.e. miR-dr-1: PPARA and LDLR and miR-ur-1: CACNB2, using molecular approaches such as the luciferase assays and western blots.
McDonald, Timothy James. "Identification of monogenic diabetes utilising biomarkers clinical criteria, and molecular genetics." Thesis, Exeter and Plymouth Peninsula Medical School, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553697.
Full textPrice, Anna Helen. "Biomarkers for cardiovascular risk prediction in people with type 2 diabetes." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28785.
Full textManeerattanasuporn, Tiwaporn. "Maternal Diabetes, Related Biomarkers and Genes, and Risk of Orofacial Clefts." DigitalCommons@USU, 2017. https://digitalcommons.usu.edu/etd/6215.
Full textWotherspoon, Amy Christine. "Biomarkers and outcomes of the diabetes and pre-eclampsia intervention trial (DAPIT)." Thesis, Queen's University Belfast, 2017. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.728831.
Full textNorberg, Margareta. "Identifying risk of type 2 diabetes : epidemiologic perspectives from biomarkers to lifestyle." Doctoral thesis, Umeå : Umeå universitet, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-953.
Full textBooks on the topic "Diabetes biomarkers"
Patel, Vinood B., and Victor R. Preedy, eds. Biomarkers in Diabetes. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81303-1.
Full textPreedy, Victor R., and Vinood B. Patel. Biomarkers in Diabetes. Springer International Publishing AG, 2022.
Find full textPreedy, Victor R., and Vinood B. Patel. Biomarkers in Diabetes. Springer International Publishing AG, 2022.
Find full textAlmedawar, Mohamad M., Richard C. Siow, and Henning Morawietz. MicroRNAs as novel biomarkers in depression, diabetes, and cardiovascular diseases. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198789284.003.0003.
Full textPugia, Michael. Inflammatory Pathways in Diabetes: Biomarkers and Clinical Correlates. Springer International Publishing AG, 2015.
Find full textPugia, Michael. Inflammatory Pathways in Diabetes: Biomarkers and Clinical Correlates. Springer, 2016.
Find full textPugia, Michael. Inflammatory Pathways in Diabetes: Biomarkers and Clinical Correlates. Springer, 2015.
Find full textMoulton, Calum D. Novel pharmacological targets. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198789284.003.0013.
Full textRogers, Thomas R., and Elizabeth M. Johnson. Mucoraceous moulds. Edited by Christopher C. Kibbler, Richard Barton, Neil A. R. Gow, Susan Howell, Donna M. MacCallum, and Rohini J. Manuel. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198755388.003.0018.
Full textBook chapters on the topic "Diabetes biomarkers"
Ismail, Che Aishah Nazariah, and Idris Long. "Models of Diabetes in Rats: A Focus on Diabetic Neuropathy and Biomarkers." In Biomarkers in Diabetes, 1–23. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81303-1_56-1.
Full textIsmail, Che Aishah Nazariah, and Idris Long. "Models of Diabetes in Rats: A Focus on Diabetic Neuropathy and Biomarkers." In Biomarkers in Diabetes, 1089–110. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08014-2_56.
Full textZeng, Chang, and Wei Zhang. "Epigenetics and 5-Hydroxymethylcytosines as a Biomarker in Type 2 Diabetes." In Biomarkers in Diabetes, 1–18. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81303-1_26-1.
Full textAjilore, Bamidele Stephen, and Bosede Olaitan Ajilore. "Biomarkers of Diabetes-Induced Nephropathy." In Biomarkers in Diabetes, 1–18. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81303-1_46-1.
Full textHoong, Caroline Wei Shan. "Measures of Endothelial Function in Type 2 Diabetes: A Focus on Circulatory Biomarkers." In Biomarkers in Diabetes, 1–22. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81303-1_68-1.
Full textMadeira, Carolina, and Manuel Falcão. "Serum Vitamin D As a Biomarker in Diabetic: Applications and Associations with Retinopathy." In Biomarkers in Diabetes, 1–13. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81303-1_47-1.
Full textMosquera-Sulbarán, Jesús A., and Juan Pablo Hernández-Fonseca. "Advanced Glycation End Products in Diabetes." In Biomarkers in Diabetes, 1–25. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81303-1_8-1.
Full textÜstünsoy, Seyfettin. "Resistin As a Biomarker and Applications to PreDiabetes." In Biomarkers in Diabetes, 1–16. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81303-1_4-1.
Full textSuzuki, Daisuke, Satoshi Hoshide, and Kazuomi Kario. "Day-by-Day Home Blood Pressure Monitoring as a Biomarker in Diabetes." In Biomarkers in Diabetes, 1–24. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81303-1_36-1.
Full textRajendram, Rajkumar, Daniel Gyamfi, Vinood B. Patel, and Victor R. Preedy. "Recommended Resources for Biomarkers in Diabetes: Methods, Discoveries, and Applications." In Biomarkers in Diabetes, 1–13. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81303-1_58-1.
Full textConference papers on the topic "Diabetes biomarkers"
Wang, Yanqiu, and Zhi-Ping Liu. "Identifying biomarkers of diabetes with gene coexpression networks." In 2017 Chinese Automation Congress (CAC). IEEE, 2017. http://dx.doi.org/10.1109/cac.2017.8243719.
Full textHardikar, Anandwardhan A. "Non-coding RNA Biomarkers Of Diabetes And Metabolic Health." In Qatar Foundation Annual Research Conference Proceedings. Hamad bin Khalifa University Press (HBKU Press), 2014. http://dx.doi.org/10.5339/qfarc.2014.hbpp0302.
Full textDooper, Marten. "Diabetes not related to abnormal biomarkers of Alzheimer’s disease." In 35th ECNP Congress, edited by Christina Dalla. Baarn, the Netherlands: Medicom Medical Publishers, 2022. http://dx.doi.org/10.55788/3e92c597.
Full textDas, Utsha, Azmain Yakin Srizon, Md Ansarul Islam, Dhiman Sikder Tonmoy, and Md Al Mehedi Hasan. "Prognostic Biomarkers Identification for Diabetes Prediction by Utilizing Machine Learning Classifiers." In 2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI). IEEE, 2020. http://dx.doi.org/10.1109/sti50764.2020.9350498.
Full textMaalmi, H., T. Fischer, F. Kronenberg, B. Thorand, W. Rathmann, M. Heier, A. Peters, et al. "Inverse associations between serum afamin concentrations and inflammatory biomarkers in an older adult population: Results from KORA F4 study." In Diabetes Kongress 2019 – 54. Jahrestagung der DDG. Georg Thieme Verlag KG, 2019. http://dx.doi.org/10.1055/s-0039-1688178.
Full textSzczerba, E., M. Neuenschwander, T. Schiemann, and S. Schlesinger. "Biomarkers of saturated fatty acid and incidence of type 2 diabetes: a systematic review and dose-response meta-analysis of prospective observational studies." In Diabetes Kongress 2021 – 55. Jahrestagung der DDG. Georg Thieme Verlag KG, 2021. http://dx.doi.org/10.1055/s-0041-1727448.
Full textSarah Akil, Ammira, William Siero, Chi Pang, Fergus Cameron, Justine Ellis, Christine Rodda Rodda, Anne-louise Ponsonby, and Maria Craig. "Children With Type 1 Diabetes, Role Of Pro-inflammatory Cytokines As Disease Biomarkers." In Qatar Foundation Annual Research Conference Proceedings. Hamad bin Khalifa University Press (HBKU Press), 2014. http://dx.doi.org/10.5339/qfarc.2014.hbpp0488.
Full textOsorio, N. Vázquez, F. Gutiérrez-Delgado, N. González-Viveros, C. Villalba-Hernández, F. Narea-Jiménez, JL Flores-Guerrero, and J. Castro-Ramos. "Integral Analysis to Detect of Type 2 Diabetes Using Biomarkers and Raman Spectroscopy." In Frontiers in Optics. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/fio.2020.jth4b.27.
Full textChoden, Phuntsho, Thara Seesaard, Tanthip Eamsa-ard, Chutintorn Sriphrapradang, and Teerakiat Kerdcharoen. "Volatile urine biomarkers detection in type II diabetes towards use as smart healthcare application." In 2017 9th International Conference on Knowledge and Smart Technology (KST). IEEE, 2017. http://dx.doi.org/10.1109/kst.2017.7886086.
Full textLeontidis, Georgios, Bashir Al-Diri, Jeffrey Wigdahl, and Andrew Hunter. "Evaluation of geometric features as biomarkers of diabetic retinopathy for characterizing the retinal vascular changes during the progression of diabetes." In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2015. http://dx.doi.org/10.1109/embc.2015.7319577.
Full textReports on the topic "Diabetes biomarkers"
Horvit, Andrew, and Donald Molony. A Systematic Review and Meta-Analysis of Mortality and Kidney Function in Uranium – Exposed Individuals. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, April 2022. http://dx.doi.org/10.37766/inplasy2022.4.0122.
Full textZhou, Xuefeng, Wenjing Liu, Zhenhuan Yang, Wei'e Zhou, and Ping Li. Long non-coding RNAs, one of candidate biomarkers in diabetic kidney disease A systematic review protocol of profiling studies. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2020. http://dx.doi.org/10.37766/inplasy2020.11.0136.
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