Table 1.
Examples of metabolomics studies associated with preeclampsia (EO-PE: early-onset preeclampsia, LO-EP: late-onset preeclampsia, and PE: preeclampsia).
| Sample specimen | Participants (n) | Outcomes | Analytical platforms | Metabolites | Statistical analysis | References |
|---|---|---|---|---|---|---|
| Serum | 80 (20 EO-PE, 20 LO-PE) | EO-PE, LO-PE, controls for both | FTIR spectroscopy, H1 NMR | FTIR results: carbohydrate, protein and lipid region sign. Different in EO-PE, H1 NMR model included: ↑Glutamate, choline, alanine, lactate ↓ arginine, citrate | P<0.001, 95% CI | [40] |
| Plasma | Cohort 1: 40 (20 PE); cohort 2: 174 (87 PE) [167] | Preeclampsia and controls | UPLC-LTQ Orbitrap-MS | Alanine, 2-Hydroxy-3-methyl-butanoic acid, 2-Ethyl-3-hydroxypropionic acid, 2-Oxoglutaric acid, Glutamic acid, Xylitol or ribitol, Uric acid, Creatinine | P<0.01 | [168] |
| Plasma (15+/- 1 weeks of gestation) | 120 (discovery, 60 PE) | PE and controls | UPLC-MS | Study 1: 45 unique metabolites divided into 11 clear metabolite classes: amino acids, carbohydrates, carnitines, Eicosanoids, fatty acids, keto or hydroxy acids, lipids, phospholipids, porphyrins, phosphatidylserine, and steroids. | study 1: P<0.05 | [169] |
| 79 (validation, 39 PE) | Study 2: data mining and modeling techniques it gave rise of a model containing 14 metabolites (5-Hydroxytryptophan, Monosaccharide(s), Decanoylcarnitine, Methylglutaric acid and/or adipic acid∗, Oleic acid, Docosahexaenoic acid and/or Docosatetraenoic acid, -Butyrolactone and/or oxolan-3-one, 2-Oxovaleric acid and/or oxo-methylbutanoic acid, Acetoacetic acid, Hexadecenoyl- eicosatetraenoyl-sn- glycerol∗, Di-(octadecadienoyl)-sn- glycerol∗, Sphingosine 1-phosphate, Sphinganine 1-phosphate, Vitamin D3 derivatives) to be a robust model to predict PE with AUC of >0.9 | Study 2: P<0.05, robust predictive model of 14 metabolites: AUC of >0.9 | ||||
| Placenta (first trimester) | Study 1: 12 (terminated pregnancy); study 2: 17 (6 PE) | Late PE, controls | GC-TOF-MS, UPLC-LTQ Orbitrap-MS | classes which are significantly different between term PE and normal term pregnancies: acyl glycerides, phospholipids, fatty acids and related metabolites, amino acids related metabolites, vitamin D-related metabolites, isoprenoids, and steroids | P<0.05 | [170] |
| Serum (11(+0)-13(+6) weeks of gestation) | 119 (30 LO-PE, 30 EO-PE) | LO-PE, EO-PE, controls | NMR | 1st analysis (late onset PE vs controls): 17 metabolites significant different, of which Glycerol, carnitine, methylhistidine, acetone most important to discriminate based on VIP. 2nd analysis (Late onset vs early onset PE): glycerol, acetate, trimethylamine and succinate most important to discriminate based on VIP analysis |
P<0.05, complex model (metabolites/maternal demographic info): 76.6% sensitivity at 100% specificity, simplified model: 60% sensitivity at 96.6% specificity | [171] |
| Plasma (11-13 weeks) | 90 (30 EO-PE) | EO-PE, controls | NMR | Model 1: metabolites (glutamine, pyruvate, propylene glycol, trimethylamine, hydroxybutyrate) in combination with maternal characteristics (weight and medical disorder) and Model 2: metabolites (glutamine, pyruvate, propylene glycol, trimethylamine, hydroxybutyrate, carnitine, hydroxy isovalerate) in combination with uterine artery PI. | P<0.005, model 1: estimated detection rate is 75.9%, model 2: estimated detection rate is 82.6% | [172] |
| Serum (11(+0)-13(+6) weeks of gestation) | Discovery: 95 (30 EO-PE); Validation: 63 (20 EO-PE) | EO-PE, controls | NMR | Metabolite-only model: glycerol, 3-hydroxyisovalerate, 2-hydroxybutyrate, acetone, and citrate; combined logistic regression model: glycerol, 3-hydroxyisovalerate, arginine, and UtPI data | Metabolite only model: O.835 of AUC; combined logistic regression model (metabolite plus uterine Doppler pulsatility index): 0.916 of AUC for early PE detection in validation group | [173] |
| Serum (11-14 weeks of gestation) | 82 (41 PE) | PE and controls | LC-MS/MS | Hydroxyhexanoylcarnitine, phenylalanine, glutamate, alanine, were significantly higher in PE cases compared to controls and adjusted by BMI, ethnicity and pregestational diabetes, | P<0.05, individual metabolites AUC of 0.77-0.80, combined metabolites AUC of 0.82 for all PE cases and 0.85 for EO-PE cases | [174] |
| Urine, Serum at time of diagnosis | 30 (10 PE, 10 controls, 10 non-pregnant) | PE and controls (pregnant and non-pregnant) | NMR | Urine: by PLS-DA: ↑choline and creatinine level, ↓ glycine levels in PE aces vs healthy pregnancies, women with early onset PE had ↑Trimethylamine-N-oxide, creatinine, ↓choline and creatinine compared to late onset PE; Serum: lipid content PE cases>normal pregnancies>nonpregnant women. Distribution of lipoproteins was also different between groups with PE cases most ↑ levels from VLDL and LDL and ↓ levels of HDL, PE cases had significantly ↓ levels of histidine compared to healthy pregnancy. | P<0.05 (PCA) and P<0.001 (PLS-DA), 95% significance of the predictive model | [175] |
| Urine, serum (first trimester) | 599 (26 PE, 21 gest. Hypertension) | PE, gestational hypertension, controls | NMR | ↑ levels of creatinine, glycine, 4-deoxythreonic acid, α-hydroxyisobutyrate, histidine and dimethylamine, ↓ levels of hippurate, lactate and proline betaine in the urine of women which developed preeclampsia. Women who developed gestational hypertension had an additional ↓ of citrate level in urine. In serum samples: ↑ lipid levels in both hypertensive groups. ↓ levels of phosphatidylcholines, glucose, lactate, and alanine. | P<0.05,Urine: 51.3% sensitivity for PE and 40% gestational hypertension, Serum: 15% sensitivity for PE and 33% gestational hypertension | [176] |
| Serum(8(+0)-13(+6) weeks of gestation) | 667 (68 EO-PE, 99 LO-PE) | EO-PE, LO-PE, controls | UPLC-MS/MS, LC-MS | EO-PE vs controls: taurine and asparagine; LO-PE vs controls: glycylglycine | [41] |