TY - JOUR
T1 - Estimation of human age using N-glycan profiles from bloodstains
AU - Gudelj, Ivan
AU - Keser, Toma
AU - Vučković, Frano
AU - Škaro, Vedrana
AU - Goreta, Sandra Šupraha
AU - Pavić, Tamara
AU - Dumić, Jerka
AU - Primorac, Dragan
AU - Lauc, Gordan
AU - Gornik, Olga
N1 - Funding Information:
This study was supported by the following FP7grants: HTP-Glycomet (contract #324400), HighGlycan (contract #278535) and IntegraLife (contract# 315997), and was also supported by the Adris Foundation, Croatia.
Publisher Copyright:
© 2015, Springer-Verlag Berlin Heidelberg.
PY - 2015/9/28
Y1 - 2015/9/28
N2 - Protein glycosylation is the most common epiproteomic modification involved in numerous physiological and pathological processes. Previous studies reported strong associations between human plasma N-glycans and age, prompting us to evaluate the potential application of this biological phenomenon in the field of forensics. Blood from 526 blood donors from different parts of Croatia was collected on bloodstain cards during the period 2004–2007 and stored at 4°C for 6–9 years. Glycosylation profiles of the bloodstains were analysed using hydrophilic interaction ultra performance liquid chromatography (HILIC-UPLC) and divided into 38 glycan groups (GP1-GP38). A statistically significant correlation between N-glycan profiles of bloodstains and chronological age was found and a statistical model that can be used for the age prediction was designed (Age = 75.59 – 5.15 × (GP4)2+ 17.07 × GP6 – 5.30 × (GP10)2 – 16.56 × GP16 + 20.07 × GP20 – 7.54 × (GP20)2 + 16.47 × GP22). This model explains 47.78 % of the variation in age, with a prediction error of 9.07 years. Our findings demonstrate that analysing the N-glycan profile could be a new tool in forensics, offering an approximate human age estimation from dried bloodstains found at a crime scene.
AB - Protein glycosylation is the most common epiproteomic modification involved in numerous physiological and pathological processes. Previous studies reported strong associations between human plasma N-glycans and age, prompting us to evaluate the potential application of this biological phenomenon in the field of forensics. Blood from 526 blood donors from different parts of Croatia was collected on bloodstain cards during the period 2004–2007 and stored at 4°C for 6–9 years. Glycosylation profiles of the bloodstains were analysed using hydrophilic interaction ultra performance liquid chromatography (HILIC-UPLC) and divided into 38 glycan groups (GP1-GP38). A statistically significant correlation between N-glycan profiles of bloodstains and chronological age was found and a statistical model that can be used for the age prediction was designed (Age = 75.59 – 5.15 × (GP4)2+ 17.07 × GP6 – 5.30 × (GP10)2 – 16.56 × GP16 + 20.07 × GP20 – 7.54 × (GP20)2 + 16.47 × GP22). This model explains 47.78 % of the variation in age, with a prediction error of 9.07 years. Our findings demonstrate that analysing the N-glycan profile could be a new tool in forensics, offering an approximate human age estimation from dried bloodstains found at a crime scene.
UR - http://www.scopus.com/inward/record.url?scp=84940453389&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84940453389&partnerID=8YFLogxK
U2 - 10.1007/s00414-015-1162-x
DO - 10.1007/s00414-015-1162-x
M3 - Article
C2 - 25787342
AN - SCOPUS:84940453389
SN - 0937-9827
VL - 129
SP - 955
EP - 961
JO - International Journal of Legal Medicine
JF - International Journal of Legal Medicine
IS - 5
ER -