TY - JOUR
T1 - Metabolite changes in risk of type 2 diabetes mellitus in cohort studies
T2 - A systematic review and meta-analysis
AU - Park, Jeong Eun
AU - Lim, Hye Rin
AU - Kim, Jun Woo
AU - Shin, Kwang Hee
N1 - Publisher Copyright:
© 2018 Elsevier B.V.
PY - 2018/6
Y1 - 2018/6
N2 - Aims: Fasting plasma glucose, oral glucose tolerance test, and glycated hemoglobin are diagnostic markers for type 2 diabetes mellitus (T2DM). However, it is necessary to detect physiological changes in T2DM rapidly and stratify diabetic stage using other biomarkers. We performed a systematic review and meta-analysis to contribute to the development of objective and sensitive diagnostic indicators by integrating metabolite biomarkers derived from large-scale cohort studies. Methods: We searched for metabolomics studies of T2DM cohort in PubMed, Scopus, and Web of Science for studies published within the last 10 years from January 2008 to February 2017. The concentrations of metabolites and odds ratios (ORs) were integrated and risk ratio (RR) values were estimated to distinguish subjects with T2DM and normal participants. Results: Fourteen cohort studies were investigated in this meta-analysis. There were 4592 patients in the case group and 11,492 participants in the control group. We noted a 1.89-, 1.63-, and 1.87-fold higher risk of T2DM associated with leucine (RR 1.89 [95% CI 1.57–2.29]), alanine (RR 1.63 [95% CI 1.48–1.79]), and oleic acid (RR 1.87 [95% CI 1.62–2.17]), respectively. Lysophosphatidylcholine C18:0 (RR 0.80 [95% CI 0.72–0.90]) and creatinine (RR 0.63 [95% CI 0.53–0.74]) were associated with 20% and 37% decreased T2DM risks, respectively. Conclusions: Most amino acids in patients were positively related to diabetes, while creatinine and some lysophosphatidylcholines showed a negative relationship. This suggests that diabetic risk prediction using metabolites that sensitively reflect changes in the body will improve individual diagnosis and personalize medicine.
AB - Aims: Fasting plasma glucose, oral glucose tolerance test, and glycated hemoglobin are diagnostic markers for type 2 diabetes mellitus (T2DM). However, it is necessary to detect physiological changes in T2DM rapidly and stratify diabetic stage using other biomarkers. We performed a systematic review and meta-analysis to contribute to the development of objective and sensitive diagnostic indicators by integrating metabolite biomarkers derived from large-scale cohort studies. Methods: We searched for metabolomics studies of T2DM cohort in PubMed, Scopus, and Web of Science for studies published within the last 10 years from January 2008 to February 2017. The concentrations of metabolites and odds ratios (ORs) were integrated and risk ratio (RR) values were estimated to distinguish subjects with T2DM and normal participants. Results: Fourteen cohort studies were investigated in this meta-analysis. There were 4592 patients in the case group and 11,492 participants in the control group. We noted a 1.89-, 1.63-, and 1.87-fold higher risk of T2DM associated with leucine (RR 1.89 [95% CI 1.57–2.29]), alanine (RR 1.63 [95% CI 1.48–1.79]), and oleic acid (RR 1.87 [95% CI 1.62–2.17]), respectively. Lysophosphatidylcholine C18:0 (RR 0.80 [95% CI 0.72–0.90]) and creatinine (RR 0.63 [95% CI 0.53–0.74]) were associated with 20% and 37% decreased T2DM risks, respectively. Conclusions: Most amino acids in patients were positively related to diabetes, while creatinine and some lysophosphatidylcholines showed a negative relationship. This suggests that diabetic risk prediction using metabolites that sensitively reflect changes in the body will improve individual diagnosis and personalize medicine.
KW - Cohort
KW - Glucose intolerance
KW - Metabolite
KW - Type 2 diabetes mellitus
UR - http://www.scopus.com/inward/record.url?scp=85045318427&partnerID=8YFLogxK
U2 - 10.1016/j.diabres.2018.03.045
DO - 10.1016/j.diabres.2018.03.045
M3 - Article
C2 - 29626587
AN - SCOPUS:85045318427
SN - 0168-8227
VL - 140
SP - 216
EP - 227
JO - Diabetes Research and Clinical Practice
JF - Diabetes Research and Clinical Practice
ER -
