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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT04257877
Other study ID # 1.109/21.11.2018
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date November 20, 2018
Est. completion date July 20, 2024

Study information

Verified date July 2023
Source Aristotle University Of Thessaloniki
Contact Assimina Galli-Tsinopoulou, MD,PhD
Phone +302310991537
Email agalli@auth.gr
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

The aim of the present study is to investigate a targeted proteomic analysis in plasma of children - of Greek origin- with type 1 diabetes (DT1) and its correlation with the electrophysiological findings that accompany diabetic peripheral neuropathy. Diabetic neuropathy is the most frequent chronic complication in adults with DT1 and rarely appears in childhood. Nevertheless, cases of acute mononeuritis have been described at the time of diagnosis of DT1. According to recent reports several biomarkers, including proteomic analysis, have been proposed for the early detection of peripheral neuropathy in children and young adults with T1DM. In the present study the researchers will attempt to investigate the role of biomarkers with targeted proteomic analysis in the plasma of children with DT1 in combination with an electrophysiological study, which includes a nerve conduction study, to detect early diabetic peripheral neuropathy, before the appearance of clinical manifestations.


Recruitment information / eligibility

Status Recruiting
Enrollment 50
Est. completion date July 20, 2024
Est. primary completion date July 20, 2024
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 5 Years to 10 Years
Eligibility Inclusion Criteria: 1. Children with confirmed DT1 under insulin substitution therapy 2. Age 5-10 years 3. Good glycemic control with HbA1c = 7.0% 4. Prepubertal patients 5. Absence of other diseases 6. Signed informed consent of the parents or guardians of patients Exclusion Criteria: 1. Presence of organic cause for neuropathy 2. Presence of other chronic disease 3. Poor glycemic control 3. Medication

Study Design


Related Conditions & MeSH terms


Intervention

Procedure:
Blood sampling
Blood samples for proteomic analysis in plasma of both groups

Locations

Country Name City State
Greece Unit of Pediatric Endocrinology, Diabetes and Metabolism-2nd Department of Pediatrics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki Thessaloniki

Sponsors (1)

Lead Sponsor Collaborator
Aristotle University Of Thessaloniki

Country where clinical trial is conducted

Greece, 

References & Publications (36)

Albers JW, Herman WH, Pop-Busui R, Feldman EL, Martin CL, Cleary PA, Waberski BH, Lachin JM; Diabetes Control and Complications Trial /Epidemiology of Diabetes Interventions and Complications Research Group. Effect of prior intensive insulin treatment during the Diabetes Control and Complications Trial (DCCT) on peripheral neuropathy in type 1 diabetes during the Epidemiology of Diabetes Interventions and Complications (EDIC) Study. Diabetes Care. 2010 May;33(5):1090-6. doi: 10.2337/dc09-1941. Epub 2010 Feb 11. — View Citation

Albers JW, Herman WH, Pop-Busui R, Martin CL, Cleary P, Waberski B; Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Intervention and Complications (EDIC) Research Group. Subclinical neuropathy among Diabetes Control and Complications Trial participants without diagnosable neuropathy at trial completion: possible predictors of incident neuropathy? Diabetes Care. 2007 Oct;30(10):2613-8. doi: 10.2337/dc07-0850. Epub 2007 Jul 20. — View Citation

Bain JR, Stevens RD, Wenner BR, Ilkayeva O, Muoio DM, Newgard CB. Metabolomics applied to diabetes research: moving from information to knowledge. Diabetes. 2009 Nov;58(11):2429-43. doi: 10.2337/db09-0580. No abstract available. — View Citation

Balderas C, Ruperez FJ, Ibanez E, Senorans J, Guerrero-Fernandez J, Casado IG, Gracia-Bouthelier R, Garcia A, Barbas C. Plasma and urine metabolic fingerprinting of type 1 diabetic children. Electrophoresis. 2013 Oct;34(19):2882-90. doi: 10.1002/elps.201300062. Epub 2013 Sep 10. — View Citation

Balderas C, Villasenor A, Garcia A, Ruperez FJ, Ibanez E, Senorans J, Guerrero-Fernandez J, Gonzalez-Casado I, Gracia-Bouthelier R, Barbas C. Metabolomic approach to the nutraceutical effect of rosemary extract plus Omega-3 PUFAs in diabetic children with capillary electrophoresis. J Pharm Biomed Anal. 2010 Dec 15;53(5):1298-304. doi: 10.1016/j.jpba.2010.07.034. Epub 2010 Jul 30. — View Citation

Barkai L, Kempler P, Vamosi I, Lukacs K, Marton A, Keresztes K. Peripheral sensory nerve dysfunction in children and adolescents with type 1 diabetes mellitus. Diabet Med. 1998 Mar;15(3):228-33. doi: 10.1002/(SICI)1096-9136(199803)15:33.0.CO;2-8. — View Citation

Bervoets L, Massa G, Guedens W, Louis E, Noben JP, Adriaensens P. Metabolic profiling of type 1 diabetes mellitus in children and adolescents: a case-control study. Diabetol Metab Syndr. 2017 Jun 26;9:48. doi: 10.1186/s13098-017-0246-9. eCollection 2017. — View Citation

Biessels GJ, Bril V, Calcutt NA, Cameron NE, Cotter MA, Dobrowsky R, Feldman EL, Fernyhough P, Jakobsen J, Malik RA, Mizisin AP, Oates PJ, Obrosova IG, Pop-Busui R, Russell JW, Sima AA, Stevens MJ, Schmidt RE, Tesfaye S, Veves A, Vinik AI, Wright DE, Yagihashi S, Yorek MA, Ziegler D, Zochodne DW. Phenotyping animal models of diabetic neuropathy: a consensus statement of the diabetic neuropathy study group of the EASD (Neurodiab). J Peripher Nerv Syst. 2014 Jun;19(2):77-87. doi: 10.1111/jns5.12072. — View Citation

Brownlee M, Vlassara H, Cerami A. Nonenzymatic glycosylation products on collagen covalently trap low-density lipoprotein. Diabetes. 1985 Sep;34(9):938-41. doi: 10.2337/diab.34.9.938. — View Citation

Donaghue KC, Bonney M, Simpson JM, Schwingshandl J, Fung AT, Howard NJ, Silink M. Autonomic and peripheral nerve function in adolescents with and without diabetes. Diabet Med. 1993 Aug-Sep;10(7):664-71. doi: 10.1111/j.1464-5491.1993.tb00142.x. — View Citation

Donaghue KC, Silink M. Diabetic neuropathy in childhood. Diabetes Nutr Metab. 1999 Apr;12(2):154-60. No abstract available. — View Citation

Dutta T, Chai HS, Ward LE, Ghosh A, Persson XM, Ford GC, Kudva YC, Sun Z, Asmann YW, Kocher JP, Nair KS. Concordance of changes in metabolic pathways based on plasma metabolomics and skeletal muscle transcriptomics in type 1 diabetes. Diabetes. 2012 May;61(5):1004-16. doi: 10.2337/db11-0874. Epub 2012 Mar 13. — View Citation

Giannopoulou EG, Garbis SD, Vlahou A, Kossida S, Lepouras G, Manolakos ES. Proteomic feature maps: a new visualization approach in proteomics analysis. J Biomed Inform. 2009 Aug;42(4):644-53. doi: 10.1016/j.jbi.2009.01.007. Epub 2009 Feb 4. — View Citation

Godzien J, Ciborowski M, Angulo S, Ruperez FJ, Martinez MP, Senorans FJ, Cifuentes A, Ibanez E, Barbas C. Metabolomic approach with LC-QTOF to study the effect of a nutraceutical treatment on urine of diabetic rats. J Proteome Res. 2011 Feb 4;10(2):837-44. doi: 10.1021/pr100993x. Epub 2010 Dec 20. — View Citation

Hajas G, Kissova V, Tirpakova A. A 10-yr follow-up study for the detection of peripheral neuropathy in young patients with type 1 diabetes. Pediatr Diabetes. 2016 Dec;17(8):632-641. doi: 10.1111/pedi.12382. Epub 2016 Mar 29. — View Citation

Hyllienmark L, Alstrand N, Jonsson B, Ludvigsson J, Cooray G, Wahlberg-Topp J. Early electrophysiological abnormalities and clinical neuropathy: a prospective study in patients with type 1 diabetes. Diabetes Care. 2013 Oct;36(10):3187-94. doi: 10.2337/dc12-2226. Epub 2013 May 30. — View Citation

Lanza IR, Zhang S, Ward LE, Karakelides H, Raftery D, Nair KS. Quantitative metabolomics by H-NMR and LC-MS/MS confirms altered metabolic pathways in diabetes. PLoS One. 2010 May 10;5(5):e10538. doi: 10.1371/journal.pone.0010538. — View Citation

Lee SS, Han HS, Kim H. A 5-yr follow-up nerve conduction study for the detection of subclinical diabetic neuropathy in children with newly diagnosed insulin-dependent diabetes mellitus. Pediatr Diabetes. 2010 Dec;11(8):521-8. doi: 10.1111/j.1399-5448.2009.00636.x. Epub 2010 Aug 15. Erratum In: Pediatr Diabetes. 2011 Feb;12(1):74. — View Citation

Louraki M, Karayianni C, Kanaka-Gantenbein C, Katsalouli M, Karavanaki K. Peripheral neuropathy in children with type 1 diabetes. Diabetes Metab. 2012 Oct;38(4):281-9. doi: 10.1016/j.diabet.2012.02.006. Epub 2012 Apr 12. — View Citation

Mayhew JA, Gillon KR, Hawthorne JN. Free and lipid inositol, sorbitol and sugars in sciatic nerve obtained post-mortem from diabetic patients and control subjects. Diabetologia. 1983 Jan;24(1):13-5. doi: 10.1007/BF00275940. — View Citation

McKillop AM, Flatt PR. Emerging applications of metabolomic and genomic profiling in diabetic clinical medicine. Diabetes Care. 2011 Dec;34(12):2624-30. doi: 10.2337/dc11-0837. — View Citation

Mistry KP, Beyer-Mears A, Diecke FP. Mechanisms for D-glucose inhibition of myo-inositol influx into rat lens. Diabetes. 1993 Dec;42(12):1737-44. doi: 10.2337/diab.42.12.1737. — View Citation

Moraes EP, Ruperez FJ, Plaza M, Herrero M, Barbas C. Metabolomic assessment with CE-MS of the nutraceutical effect of Cystoseira spp extracts in an animal model. Electrophoresis. 2011 Aug;32(15):2055-62. doi: 10.1002/elps.201000546. — View Citation

Nery Ferreira BE, Silva IN, de Oliveira JT. High prevalence of diabetic polyneuropathy in a group of Brazilian children with type 1 diabetes mellitus. J Pediatr Endocrinol Metab. 2005 Nov;18(11):1087-94. doi: 10.1515/jpem.2005.18.11.1087. — View Citation

Otto-Buczkowska E, Kazibutowska Z, Soltyk J, Machnica L. Neuropathy and type 1 diabetes mellitus. Pediatr Endocrinol Diabetes Metab. 2008;14(2):109-16. — View Citation

Rangel MA, Baptista C, Santos F, Real MV, Campos RA, Leite AL. Acute mononeuropathy in a child with newly diagnosed type 1 diabetes mellitus. J Pediatr Endocrinol Metab. 2015 Mar;28(3-4):341-4. doi: 10.1515/jpem-2014-0049. — View Citation

Said G, Bigo A, Ameri A, Gayno JP, Elgrably F, Chanson P, Slama G. Uncommon early-onset neuropathy in diabetic patients. J Neurol. 1998 Feb;245(2):61-8. doi: 10.1007/s004150050179. — View Citation

Sosenko JM, Boulton AJ, Kubrusly DB, Weintraub JK, Skyler JS. The vibratory perception threshold in young diabetic patients: associations with glycemia and puberty. Diabetes Care. 1985 Nov-Dec;8(6):605-7. doi: 10.2337/diacare.8.6.605. — View Citation

Suhre K, Meisinger C, Doring A, Altmaier E, Belcredi P, Gieger C, Chang D, Milburn MV, Gall WE, Weinberger KM, Mewes HW, Hrabe de Angelis M, Wichmann HE, Kronenberg F, Adamski J, Illig T. Metabolic footprint of diabetes: a multiplatform metabolomics study in an epidemiological setting. PLoS One. 2010 Nov 11;5(11):e13953. doi: 10.1371/journal.pone.0013953. — View Citation

Toopchizadeh V, Shiva S, Khiabani NY, Ghergherechi R. Electrophysiologic pattern and prevalence of subclinical peripheral neuropathy in children and adolescents with type I diabetes mellitus in Iran. Saudi Med J. 2016 Mar;37(3):299-303. doi: 10.15537/smj.2016.3.13625. — View Citation

Vallejo M, Angulo S, Garcia-Martinez D, Garcia A, Barbas C. New perspective of diabetes response to an antioxidant treatment through metabolic fingerprinting of urine by capillary electrophoresis. J Chromatogr A. 2008 Apr 11;1187(1-2):267-74. doi: 10.1016/j.chroma.2008.02.024. Epub 2008 Feb 12. — View Citation

van der Kloet FM, Bobeldijk I, Verheij ER, Jellema RH. Analytical error reduction using single point calibration for accurate and precise metabolomic phenotyping. J Proteome Res. 2009 Nov;8(11):5132-41. doi: 10.1021/pr900499r. — View Citation

Wallaschofski H. What will metabolomics studies mean to endocrinology? J Endocrinol. 2012 Oct;215(1):1-2. doi: 10.1530/JOE-12-0270. Epub 2012 Jul 3. No abstract available. — View Citation

Zhang L, Yu C, Vasquez FE, Galeva N, Onyango I, Swerdlow RH, Dobrowsky RT. Hyperglycemia alters the schwann cell mitochondrial proteome and decreases coupled respiration in the absence of superoxide production. J Proteome Res. 2010 Jan;9(1):458-71. doi: 10.1021/pr900818g. — View Citation

Zhang S, Nagana Gowda GA, Asiago V, Shanaiah N, Barbas C, Raftery D. Correlative and quantitative 1H NMR-based metabolomics reveals specific metabolic pathway disturbances in diabetic rats. Anal Biochem. 2008 Dec 1;383(1):76-84. doi: 10.1016/j.ab.2008.07.041. Epub 2008 Aug 20. Erratum In: Anal Biochem. 2009 Feb 15;385(2):392. — View Citation

Zhang S, Zheng C, Lanza IR, Nair KS, Raftery D, Vitek O. Interdependence of signal processing and analysis of urine 1H NMR spectra for metabolic profiling. Anal Chem. 2009 Aug 1;81(15):6080-8. doi: 10.1021/ac900424c. — View Citation

* Note: There are 36 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Targeted proteomic analysis in children with DT1 (levels of certain plasma proteomics such as sorbitol, fructose, myo-inositol, scyllo-inositol, serine, lysine, tertadecanoic, palmitic, stearic, eicosanoic fatty acids) 2018-2020
Secondary Electrophysiological study electrophysiological findings such as nerve conduction velocity indicative of peripheral neuropathy.
- Correlation of proteomic analysis results with electrophysiological findings.
2018-2020
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