Assessment of the selected biochemical markers in predicting preterm labour

Laudański, Piotr; Raba, Grzegorz; Kuć, Paweł; Lemancewicz, Adam; Kisielewski, Rafał; Laudański, T

doi:10.3109/14767058.2012.699116

Cited by 24 publications

(25 citation statements)

References 17 publications

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“…Discriminant analysis by standard and forward stepwise selection method included 13 proteins, of which changes in serum concentrations in women at risk for preterm delivery have been proved in many studies [ 2 , 26 , 29 , 30 ]. We used Statistica 8.0 PL (StatSoft, Poland) with StatSoft Statistica neural networks package.…”

Section: Methodsmentioning

confidence: 99%

“…MIP-1d is chemotactic for neutrophils, monocytes, and lymphocytes and elicits its effects by binding to cell surface chemokine receptors. The role in the pathogenesis of PD was evaluated in recent studies [ 26 ]. MIP-3b may play a role in normal lymphocyte recirculation and homing.…”

Section: Introductionmentioning

confidence: 99%

“…It also plays an important role in T cell and B cell migration to secondary lymphoid organs. The role in the pathogenesis of PD was evaluated in recent studies [ 26 ]. Eotaxin-1 selectively recruits eosinophils by inducing their chemotaxis, which has a potential role in the pathogenesis of PD by modulating the inflammation process [ 27 ].…”

Section: Introductionmentioning

confidence: 99%

“…BLC is selectively chemotactic for B cells belonging to both the B-1 and B-2 subsets and elicits its effects by interacting with chemokine receptor CXCR5. The role in the pathogenesis of PD was evaluated in recent studies [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

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Cytokines in Preterm Delivery: Proposal of a New Diagnostic Algorithm

Raba

Tabarkiewicz

2018

Journal of Immunology Research

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Predicting preterm delivery within 7 days is very important for the proper timing of glucocorticosteroid administration. If within 7 days after glucocorticosteroid administration, the delivery does not occur, it remains questionable if repeated glucocorticosteroid therapy results in improved infant respiratory function. Therefore, differentiation of preterm delivery from false preterm delivery is clinically significant. The aim of this study was to create a diagnostic algorithm to distinguish preterm delivery from false preterm delivery on the basis of concentrations of selected cytokines. The study group (n = 622) were patients hospitalized due to threatened preterm delivery. To assess the concentration of cytokines in the serum, we used a multiplex method, which allows simultaneous determination of 13 cytokines. The sets consist of the following cytokines: IGFBP-1, IGFBP-2, BDNF, L-Selectin, E-Selectin, ICAM-1, PECAM, VCAM-1, MIP-1d, MIP-3b, Eotaxin-1, Eotaxin-2, and BLC. In the study group, 67.8% patients had preterm delivery and 32.2% had false preterm delivery. Based on the analysis of cytokine concentrations, a classification tree to distinguish between preterm delivery and false preterm delivery was created. Our findings show the possibility of prediction of preterm delivery with the use of a classification and regression tree of selected cytokine concentration.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cytokines in Preterm Delivery: Proposal of a New Diagnostic Algorithm

Raba

Tabarkiewicz

2018

Journal of Immunology Research

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“…Various studies have focused on the inflammatory markers associated with PTB [ 12 , 13 ]. However, it is difficult to identify a novel and universal marker in a targeted research, as such approaches are often biased.…”

Section: Introductionmentioning

confidence: 99%

Maternal Plasma Metabolomic Profiles in Spontaneous Preterm Birth: Preliminary Results

Lizewska

Teul

Kuć

et al. 2018

Mediators of Inflammation

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Objective To profile maternal plasma metabolome in spontaneous preterm birth. Method In this retrospective case-control study, we have examined plasma of patient with preterm birth (between 22 and 36 weeks of pregnancy (n = 57)), with threatened preterm labor (between 23 and 36 weeks of pregnancy (n = 49)), and with term delivery (n = 25). Plasma samples were analysed using liquid chromatography quadrupole time-of-flight mass spectrometry (LC-Q-TOF-MS) in positive and negative polarity modes. Results We found 168 differentially expressed metabolites that were significantly distinct between study groups. We determined 51 metabolites using publicly available databases that could be subdivided into one of the five groups: amino acids, fatty acids, lipids, hormones, and bile acids. PLS-DA models, verified by SVM classification accuracy, differentiated preterm birth and term delivery groups. Conclusions Maternal plasma metabolites are different between term and preterm parturitions. Part of them may be related with preterm labor, while others may be affected by gestational age or the beginning of labor. Metabolite profile can classify preterm or term delivery groups raising the potential of metabolome as a biomarker to identify high-risk pregnancies. Metabolomic studies are also a tool to detect individual compounds that may be further tested in targeted researches.

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