Table 2.
Continent | Reference paper | Study population, location and number of participants (N) | Measurement technique | Focus area | Matrix | Study design | Pubertal stage | Outcome/related disease | Diagnostics |
---|---|---|---|---|---|---|---|---|---|
Asia | Cho et al. (2017) Pediatric Obesity |
Korea N = 184 |
Liquid chromatography–mass spectrometry (LC–MS)/MS and flow injection analysis (FIA)–MS/MS | Metabolomics | Urine | Cohort | > TS1 | Obesity | BMI according to Korean National Growth Charts |
Kim et al. (2016) The Journal of Clinical Endocrinology & Metabolism |
Korea N = 242 |
Gas chromatography (GC)–MS | Steroid metabolites | Serum | Case–control | > 50% TS1 and < 50% TS2, TS3 and TS4 | Obesity | BMI according to Korean National Growth Charts | |
Lee et al. (2018) Scientific Reports |
Korea, KoCAS N = 430 |
LC–MS/MS | Metabolomics | Plasma | Cohort | > TS1 | Obesity and diabetes type 2 | BMI according to Korean National Growth Charts | |
Lee et al. (2019) Scientific Reports |
Korea, KoCAS-1 N = 449 |
FIA–MS/MS | Amino acids | Plasma | Cohort | < 5% TS1, > 45% TS2 and TS3 and > 45% TS4 and TS5 | Obesity and insulin resistance | BMI according to Korean National Growth Charts | |
Son et al. (2015) The Journal of Steroid Biochemistry and Molecular Biology |
Korea N = 253 |
GC–MS | Cholesterol and other sterols | Serum | Case–control | TS1 and TS2 | Obesity | BMI according to Korean National Growth Charts | |
Suzuki et al. (2019) BMC Pediatrics |
Japan N = 26 |
LC–MS | Amino acids | Plasma | Cohort | Obesity, impaired glucose tolerance and hyperuricemia | BMI according to Korean National Growth Charts | ||
Australia | Saner et al. (2019) Metabolomics |
Victoria, COBRA N = 412 |
1H-NMR | Amino acids | Serum | Cohort | > 30% TS1, 25% TS2 and TS3 and 35% TS4 and TS5 | Obesity | US Centres for Disease Control (CDC) growth reference charts |
Europe | Anjos et al. (2019) Journal of Proteome Research |
Portugal N = 32 |
GC–MS and hydrophilic interaction (HI)LC–MS2, untargeted and 163 targets | Phospholipids | Serum | Case–control | > TS1 | Obesity | Global BMI ranges (Centro Hospitalar do Baixo Vouga, Portugal) |
Hosking et al. (2019) Pediatric Diabetes |
Early Bird, United Kingdom N = 150 |
1H-NMR | Amino acids | Serum | Longitudinal cohort | TS1 at baseline and ≧ TS3 at follow-up | Insulin resistance | BMI according to British 1990 standards | |
Lau et al. (2018) BMC Medicine |
HELIX, Multilevel European (UK, France, Spain, Norway, Greece, Lithuania) N = 1192 |
FIA–MS2 and LC–MS2 and 1H-NMR, Fingerprinting |
Metabolomics | Serum and urine | Longitudinal cohort | TS1 and TS2 | Not specified | WHO growth reference curves | |
Mangge et al. (2016) The Journal of Nutritional Biochemistry |
Austria N = 666 |
HPLC | Amino acids | Serum | Case–control | ≧ TS3 | Obesity | Austrian reference BMI percentiles and HOMA-IR | |
Martos-Moreno et al. (2017) International Journal of Obesity |
Spain N = 100 |
GC–MS2 and LC–MS2 | Glycero-phospholipids | Serum | Case–control | TS1 | Obesity | BMI-SDS according to Spanish standards and IOTF classification by Cole’s LMS method | |
Mastrangelo et al. (2016) International Journal of Obesity |
Spain N = 458 |
GC–MS2 and LC–MS2 | Glycero-phospholipids | Serum | Case–control | TS1 | Obesity | BMI-SDS according to Spanish standards | |
Reinehr et al. (2015) European Journal of Nutrition |
Germany N = 160 |
LC–MS2 | Glycero-phospholipids | Serum | Case–control | TS1 and TS2 | Obesity | BMI according to German reference data | |
Rocha et al. (2018) Hormone Research in Paeditrics |
Germany N = 458 |
Biochemical technique | Uric acid | Serum | Case–control | ≧ TS1 | Obesity | BMI according to German reference data | |
Troisi et al. (2017) Nutrients |
Italy N = 40 |
GC–MS | Metabolomics | Urine | Case–control | TS1, TS2, TS3 and TS4 | Obesity and non-alcoholic fatty liver disease | Italian reference BMI percentiles (aged 2 to 20 years) | |
Troisi et al. (2019) Nutrients |
Italy N = 41 |
GC–MS | Metabolomics | Saliva | Case–control | ≧ TS1 | Obesity and non-alcoholic fatty liver disease | Italian reference BMI percentiles (aged 2 to 20 years) | |
Valle et al. (2015) Pediatric Diabetes |
Spain N = 86 |
Uric acid | Serum | Case–control | TS1 | Metabolic syndrome | Spanish reference BMI percentiles (Curvas y tablas de crecimiento, 6–9 year old) | ||
Wahl et al. (2012) Obesity Facts |
Germany N = 120 |
LC–MS2 | Glycero-phospholipids | Serum | Case–control | TS1, TS2, TS3 and TS4 | Obesity | IOTF classification by Cole’s LMS method | |
Wijnant et al. (2020) Analytical Chemistry |
Belgium N = 140 |
LC–MS | Metabolomics | Saliva | Case–control | ≧ TS1 | Obesity | BMI z-scores following Roelants et al. and IOTF classification by Cole’s LMS method | |
Zhang et al. (2019) Journal of Adolescent Health |
Finland N = 396 |
1H-NMR | Amino acids | Serum | Longitudinal cohort | TS1 and TS2 at baseline and TS5 at follow-up | Insulin resistance | Finnish reference BMI data (aged 0 to 20 years) | |
America | Aristizabal et al. (2017) Nutrients |
Colombia N = 58 |
GC | FFA | Plasma | Case–control | TS1 | Obesity | WC reference cut-off according to IDEFICS |
Bermudez-Cardona and Velasquez-Rodriguez (2016) Nutrients |
Colombia N = 96 |
GC-FID | Fatty acids | Serum | Case–control | > 10% TS1, 25% TS2, TS3 and TS4 and > 60% TS5 | Metabolic syndrome | WHO growth reference curves | |
Butte et al. (2015) The American Journal of Clinical Nutrition |
Texas N = 803 |
GC–MS and UPLC–MS/MS | Metabolomics | Plasma | Cohort | TS2, TS3 and TS4 | Obesity | Reference BMI percentiles according to CDC growth charts for the United States of America | |
Chavira-Suárez et al. (2020) PLoS ONE |
Mexico N = 168 |
Tandem MS | Metabolomics | Serum | Case–control | Overweight and obesity | WHO growth reference curves and WHtR in z-scores NHANES | ||
McCormack et al. (2013) Pediatric Obesity |
Massachusetts N = 21 |
Biochemical technique | Metabolomics | Serum | Case–control | TS2, TS3 and TS4 | Obesity | Reference BMI percentiles according to CDC growth charts for the United States of America | |
Farook et al. (2015) Pediatric Obesity |
Texas N = 42 |
UPLC–MS/MS | Metabolomics | Serum | Case–control | TS1, TS2 and TS3 | Obesity | NHANES III | |
Flannagan et al. (2018) Nutrition, Metabolism and Cardiovascular disease |
El Salvador, Honduras, Nicaragua, Panama, Costa Rica, Belize, the Dominican Republic and Guatemala N = 201 |
GC | Metabolomics | Adipose tissue | Cohort | TS1 | Metabolic syndrome | BMI-z according to WHO Growth Reference (for children aged 5 to19 years) | |
Goffredo et al. (2017) Nutrients |
Connecticut N = 78 |
LC–MS | Branched-chain amino acids | Plasma | Case–control | TS1, TS2, TS3, TS4 and TS5 | Non-alcoholic fatty liver disease | National BMI and BMI-z reference percentiles (Yale Pediatric NAFLD Cohort) | |
Higgins et al. (2020) The Journal of Clinical Endocrinology and Metabolism |
Canada N = 45 |
LC–MS/MS | Lipoproteins and bile acids | Serum | Cohort | < 5%% TS2, 25% TS3, 30% TS4 and > 40% TS5 | Obesity | WHO growth reference curves | |
Mauras et al. (2015) The Journal of Clinical Endocrinology and Metabolism |
Florida N = 35 |
LC–MS/MS | Estrogens | Plasma | Case–control | TS1 | Obesity | National reference BMI percentiles (Florida) | |
Moran-Ramos et al. (2017) Scientific Reports |
Mexico N = 1120 |
MS/MS | Amino acids | Serum | Cohort | TS1 and TS2 | Obesity | Reference BMI percentiles according to CDC growth charts for the United States of America | |
Newbern et al. (2014)The Journal of Clinical Endocrinology and Metabalism |
North Carolina N = 82 |
MSn | Metabolomics | Plasma | Cohort | TS2, TS3, TS4 and TS5 | Insulin resistance | Reference BMI percentiles according to CDC growth charts for the United States of America | |
Perng et al. (2017) Paediatric Obesity |
Mexico N = 238 |
LC–MS | Metabolomics | Serum | Cohort | 35% TS1, < 10% TS2, 5% TS3 and 5% TS 4, TS5 | Metabolic risk | Reference BMI percentiles (Mexico National Institute of Public Health) | |
Perng et al. (2018) Pediatric Obesity |
Massachusetts N = 213 |
Ultra-high performance (UP)LC–MS/MS | Amino acids | Plasma | Longitudinal cohort | > 65% TS1 and ≧ 30% TS2 | Early adolescence | Reference BMI and BMI-z percentiles according to CDC growth charts for the United States of America | |
Perng et al. (2019) Pediatric Research |
Mexico N = 179 |
LC–MS | Amino acids | Serum | Longitudinal cohort | TS1 at baseline and > TS2 after 5-year follow-up | Metabolic risk | National reference BMI-z scores (Mexico National Institute of Public Health) | |
Perng et al. (2020a; b) Obesity |
Massachusetts N = 592 |
UPLC–MS | Metabolomics | Plasma | Case–control | > 10% TS1 and ≧ 80% TS2 | Metabolic risk | Reference BMI and BMI-z percentiles according to CDC growth charts for the United States of America | |
Short et al. (2019) The Journal of Clinical Endocrinology and Metabolism |
Oklahoma N = 94 |
UPLC–MS | Amino acids | Plasma | Case–control | ≧ TS2 | Obesity | Reference BMI percentiles according to CDC growth charts for the United States of America | |
Trico et al. (2017) The Journal of Clinical Endocrinology and Metabolism |
Connecticut N = 78 |
1H-NMR | Amino acids | Plasma | Longitudinal cohort | > TS1 | Insulin resistance | National BMI-z reference (the Yale Pediatric Obesity Clinic) | |
Trico et al. (2019) Antioxidants and Redox Signaling |
Connecticut N = 122 |
LC–MS/MS | Fatty acids | Plasma | Case–control | > TS1 | Metabolic syndrome | National BMI-z reference (the Yale Pediatric Obesity Clinic) |
An overview of the included studies according to the continental region of study. The first author, year of publication and name of the journal were addressed as reference. For every study, the study population, location of the study, number of participants, measurement technique, focus area of research, the matrix studied, the study design, pubertal stage of the children under study, the main outcome and method of diagnosis (in defining the groups under study) were listed