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Review Article

Recent advances in molecular biomarkers for diabetes mellitus: a systematic review

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Pages 604-613 | Received 11 Oct 2016, Accepted 02 Jan 2017, Published online: 24 Jan 2017

References

  • Akinkuolie, A.O., et al., 2015. Novel protein glycan side-chain biomarker and risk of incident type 2 diabetes. Arteriosclerosis, thrombosis, and vascular biology, 35, 1544–1550.
  • Al-Kafaji, G., et al., 2016. Circulating endothelium-enriched microRNA-126 as a potential biomarker for coronary artery disease in type 2 diabetes mellitus patients. Biomarkers, 1–11. doi: http://dx.doi.org/10.1080/1354750X.2016.1204004.
  • Al-Kafaji, G., et al., 2015. Peripheral blood microRNA-15a is a potential biomarker for type 2 diabetes mellitus and pre-diabetes. Molecular medicine reports, 12, 7485–7490.
  • Anand, K., et al., 2016. Secreted Frizzled-Related Protein 4 (SFRP4): a novel biomarker of β-cell dysfunction and insulin resistance in individuals with prediabetes and type 2 diabetes. Diabetes care, 39, e147–e148.
  • Baker Idi Heart and Diabetes Institute, Diabetes Australia & Juvenile Diabetes Research Foundation, 2012. Diabetes: the silent pandemic and its impact on Australia.: D. Australia.
  • Bishnoi, S., Goyal, R.N., and Shim, Y., 2014. A novel nanogold–single wall carbon nanotube modified sensor for the electrochemical determination of 8-hydroxyguanine, a diabetes risk biomarker. Bioelectrochemistry, 99, 24–29.
  • Blennow, K., et al., 2015. Clinical utility of cerebrospinal fluid biomarkers in the diagnosis of early Alzheimer's disease. Alzheimers dement, 11, 58–69.
  • Bonci, D., et al., 2016. A microRNA code for prostate cancer metastasis. Oncogene, 35, 1180–1192.
  • Borges, C.R., et al., 2011. Building multidimensional biomarker views of type 2 diabetes on the basis of protein microheterogeneity. Clinical chemistry, 57, 719–728.
  • Bourne, R.R.A., et al., 2013. Causes of vision loss worldwide, 1990–2010: a systematic analysis. The lancet global health, 1, e339–e349.
  • Caveney, E.J. and Cohen, O.J., 2011. Diabetes and biomarkers. Journal of diabetes science and technology, 5, 192–197.
  • Cooper, A.J.M., et al., 2015. The association between a biomarker score for fruit and vegetable intake and incident type 2 diabetes: the EPIC-Norfolk study. European journal of clinical nutrition, 69, 449–454.
  • Denk, J., et al., 2015. MicroRNA profiling of CSF reveals potential biomarkers to detect Alzheimer′s disease. PLoS one, 10, e0126423.
  • Erener, S., et al., 2013. Circulating miR-375 as a biomarker of β-cell death and diabetes in mice. Endocrinology, 154, 603–608.
  • Fda-Nih Biomarker Working Group, 2016. BEST (Biomarkers, EndpointS, and other Tools) Resource. Silver Spring (MD): Food and Drug Administration (US). Copublished by National Institutes of Health (US), Bethesda (MD).
  • Ghosh, C., et al., 2015. Oxygen-18 isotope of breath CO2 linking to erythrocytes carbonic anhydrase activity: a biomarker for pre-diabetes and type 2 diabetes. Scientific reports, 5, 8137.
  • Ghosh, P., et al., 2013. A specific and sensitive assay for blood levels of glycated CD59: a novel biomarker for diabetes. American journal of hematology, 88, 670–676.
  • Haseda, F., et al., 2016. Antibody to CMRF35-like molecule 2, CD300e a novel biomarker detected in patients with fulminant type 1 diabetes. PLoS one, 11, e0160576.
  • Heraclides, A., et al., 2013. The pro-inflammatory biomarker soluble urokinase plasminogen activator receptor (suPAR) is associated with incident type 2 diabetes among overweight but not obese individuals with impaired glucose regulation: effect modification by smoking and body weight status. Diabetologia, 56, 1542–1546.
  • Il'yasova, D., et al., 2012. Urinary F2-isoprostanes as a biomarker of reduced risk of type 2 diabetes. Diabetes care, 35, 173–174.
  • International Diabetes Federation, 2015. International Diabetes Federation Diabetes Atlas. Brussels, Belgium: I.D. Federation.
  • Knebel, B., et al., 2016. Untargeted mass spectrometric approach in metabolic healthy offspring of patients with type 2 diabetes reveals medium-chain acylcarnitine as potential biomarker for lipid induced glucose intolerance (LGIT). Archives of physiology and biochemistry, 122, 266–280.
  • Kosaka, N., Iguchi, H., and Ochiya, T., 2010. Circulating microRNA in body fluid: a new potential biomarker for cancer diagnosis and prognosis. Cancer science, 101, 2087–2092.
  • Kroh, E.M., et al., 2010. Analysis of circulating microRNA biomarkers in plasma and serum using quantitative reverse transcription-PCR (qRT-PCR). Methods, 50, 298–301.
  • Liu, Y., et al., 2014. The role of circulating MicroRNA-126 (miR-126): a novel biomarker for screening prediabetes and newly diagnosed type 2 diabetes mellitus. International journal of molecular sciences, 15, 10567–10577.
  • Liu, Z., et al., 2012. Prevention of Type 1 diabetes in the rat with an allele-specific anti-T-cell receptor antibody: Vβ13 as a therapeutic target and biomarker. Diabetes, 61, 1160–1168.
  • Luo, M., et al., 2015. Platelet-derived miR-103b as a novel biomarker for the early diagnosis of type 2 diabetes. Acta diabetologica 52, 943–949.
  • Ma, W.Y., et al., 2014. Plasma apelin: a novel biomarker for predicting diabetes. Clinica chimica acta 435, 18–23.
  • Min, P.K. and Chan, S.Y. 2015. The biology of circulating microRNAs in cardiovascular disease. European journal clinical investigation 45, 860–874.
  • Moher, D., et al. The Prisma Group, 2009. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS medicine, 6, e1000097.
  • Mraz, M., et al. 2009. MicroRNA isolation and stability in stored RNA samples. Biochemical and biophysical research communications, 390, 1–4.
  • Olsen, J.A., et al., 2016. Circulating differentially methylated amylin DNA as a biomarker of β-cell loss in type 1 diabetes. PLoS one 11, e0152662.
  • Strimbu, K. and Tavel, J.A. 2010. What are biomarkers? Current opinion in HIV and AIDS, 5, 463–466.
  • Takada, T., et al., 2013. Serum monomeric α2-macroglobulin as a clinical biomarker in diabetes. Atherosclerosis, 228, 270–276.
  • Thanabalasingham, G., et al., 2011. A large multi-centre European study validates high-sensitivity C-reactive protein (hsCRP) as a clinical biomarker for the diagnosis of diabetes subtypes. Diabetologia, 54, 2801–2810.
  • The Emerging Risk Factors Collaboration, 2010. Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies. The lancet, 375, 2215–2222.
  • Varvel, S.A., et al., 2014. Comprehensive biomarker testing of glycemia, insulin resistance, and beta cell function has greater sensitivity to detect diabetes risk than fasting glucose and hba1c and is associated with improved glycemic control in clinical practice. Journal of cardiovascular translational research, 7, 597–606.
  • Wang, S., et al., 2014. Assessment of serum arginase I as a type 2 diabetes mellitus diagnosis biomarker in patients. Experimental and therapeutic medicine, 8, 585–590.
  • Wang, T.J., et al., (2013). 2-Aminoadipic acid is a biomarker for diabetes risk. The journal of clinical investigation, 123, 4309–4317.
  • World Health Organisation, 2016. Global report on diabetes. France: W.H. Organisation.
  • Yang, Z., et al., 2014. Serum miR-23a, a potential biomarker for diagnosis of pre-diabetes and type 2 diabetes. Acta diabetologica, 51, 823–831.
  • Yau, J.W.Y., et al., 2012. Global prevalence and major risk factors of diabetic retinopathy. Diabetes care, 35, 556–564.
  • Yi, M., et al., 2015. Betatrophin acts as a diagnostic biomarker in type 2 diabetes mellitus and is negatively associated with HDL-cholesterol. International journal of endocrinology, 2015, 7.
  • Zhang, B., et al., 2014. A plasmonic chip for biomarker discovery and diagnosis of type 1 diabetes. Nature medicine, 20, 948–953.
  • Zhang, T., et al., 2015. Circulating miR-126 is a potential biomarker to predict the onset of type 2 diabetes mellitus in susceptible individuals. Biochemical and biophysical research communications, 463, 60–63.
  • Zhang, T., et al., 2013. Plasma miR-126 is a potential biomarker for early prediction of type 2 diabetes mellitus in susceptible individuals. BioMed research international, 2013, 6.

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