| Literature DB >> 27214132 |
Maria Hallingström1, Juraj Lenco2, Marie Vajrychova2, Marek Link2, Vojtech Tambor3, Victor Liman4, Maria Bullarbo1, Staffan Nilsson5, Panagiotis Tsiartas1, Teresa Cobo6,7,8, Marian Kacerovsky3,9, Bo Jacobsson1,10.
Abstract
OBJECTIVE: The aim of this study was to identify early proteomic biomarkers of spontaneous preterm delivery (PTD) in mid-trimester amniotic fluid from asymptomatic women.Entities:
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Year: 2016 PMID: 27214132 PMCID: PMC4876998 DOI: 10.1371/journal.pone.0155164
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Graphic presentation of the methodology of sample processing and LC-MS/MS analysis of pooled case and control samples.
Fig 2Flow chart showing selection of study participants.
Maternal and neonatal characteristics in the group of women with spontaneous preterm delivery and the group of women with term delivery.
| Variable | Spontaneous preterm delivery ( | Term delivery (n = 40) | |
|---|---|---|---|
| Gestational age at delivery (weeks+days) | 35+5 (33+6–36+6) | 40+0 (39+1–40+5) | |
| Maternal age at sampling (years) | 37 (36–40) | 36 (35–38) | 0.69 |
| Nulliparous | 9 (37.5%) | 12 (30.0%) | 0.59 |
| IVF | 4 (16.7%) | 1 (2.5%) | 0.06 |
| Maternal BMI at first prenatal visit | 24.6 (23.6–26.9) | 23.5 (21.2–26.3) | 0.23 |
| Smoking at first prenatal visit | 2 (8.3%) | 2 (5.0%) | 0.63 |
| Previous preterm delivery | 3 (12.5%) | 1 (2.5%) | 0.14 |
| Gestational age at sampling (weeks+days) | 15+5 (15+2–16+3) | 15+5 (15+2–16+2) | 0.69 |
| Mode of delivery | |||
| Vaginal delivery | 21 (87.5%) | 28 (70.0%) | 0.14 |
| Caesarean section | 3 (12.5%) | 8 (20.0%) | 0.51 |
| Vacuum extraction | 0 (0%) | 4 (10.0%) | 0.29 |
| Birth weight (grams) | 2505 (2378–2848) | 3530 (3215–3713) | |
| Gender | 0.18 | ||
| Male | 9 (37.5%) | 21 (52.5%) | |
| Female | 15 (62.5%) | 19 (47.5%) | |
| Apgar score < 7 at 5 min | 0 (0%) | 1 (2.6%) | 0.62 |
Continuous variables were compared using a nonparametric Mann-Whitney U Test and presented as the median (interquartile range). Categorical variables were compared using Fisher’s Exact Test and presented as the number (%).
The ten most dysregulated proteins in both duplicates (115/114 and 117/116) from the exploratory proteomics analysis, where 115 and 117 represent the channels for the cases and 114 and 116 represent the channels for the controls.
| Prot. Acc. # | Gene | Description | 115/114 | 117/116 |
|---|---|---|---|---|
| P02741 | CRP | C-reactive protein | 2.27 | 2.30 |
| P60174 | TPI1 | Triosephosphate isomerase | 2.26 | 1.95 |
| A8K7I4 | CLCA1 | Calcium-activated chloride channel regulator 1 | 1.75 | 1.98 |
| P40925 | MDH1 | Malate dehydrogenase, cytoplasmic | 1.86 | 1.63 |
| P01037 | CST1 | Cystatin-SN | 1.46 | 1.51 |
| P02042 | HBD | Hemoglobin subunit delta | 0.56 | 0.52 |
| P69905 | HBA1 | Hemoglobin subunit alpha | 0.60 | 0.51 |
| P68871 | HBB | Hemoglobin subunit beta | 0.61 | 0.52 |
| P09466 | PAEP | Glycodelin | 0.61 | 0.59 |
| P49913 | CAMP | Cathelicidin antimicrobial peptide | 0.65 | 0.71 |
As reported in the table, five upregulated and five downregulated proteins were among top 10 dysregulated proteins independently on the direction of the change. The level of CRP was roughly two-fold higher in the pooled samples from cases (115, 117), compared to the pooled samples from controls (114, 116).
Fig 3A two-column scatter graph of median (IQR: 25th; 75th percentiles) amniotic fluid CRP levels in the groups.