Glycosylation, as one of the most common and complex posttranslational modifications, has a profound effect on the final function of a modified protein but is also itself greatly affected by the physiological factors. Diabetes mellitus type 1 is a state where normal function of the beta cells of the pancreatic islets or the insulin molecules is compromised by an autoimmune response, even though the underlying cause is not yet known. In an effort to elucidate the cause of this disease and also to find new biomarkers that could possibly point to its development and presence, glycan analysis presented itself as a promising approach given the fact that glycosylation had already been connected to different diseases, some of which are also autoimmune. Plasma samples of 153 type 1 diabetes patients, aged between 2 and 19 years, were analyzed using a HILIC-UPLC method in a way that glycan profiles were created for every patient. Obtained data was then sorted and statistically analyzed by comparing glycosylation according to gender, using the Mann-Whitney test for independent samples. Individual glycan peaks were compared first, and analysis showed statistically significant difference between genders for GP9, GP11, GP15 and GP17. After sorting patients into two groups, one with patients younger than 10 years and another with patients older than 11 for females and 12 for males, differences were analyzed again. A younger group showed statistically significant difference in GP6, GP9, GP11, GP17 and GP23, but the older group didn't show any. Prevalences of several glycan characteristics in glycan profiles were also compared between genders, but statistically significant difference was not found for any of the analyzed characteristics in a younger group as well as in the older one. Results obtained in this study show that there is a gender difference between glycan profiles of type 1 diabetes patients. Those differences should be accounted for in development of new glycan-based diagnostic tests or therapeutics.