FGF1 and FGF2 mutations in preeclampsia and related features

Marwa, Ben Ali Gannoun; Raguema, Nozha; Zitouni, Hédia; Feten, Hachani Ben Ali; Kacem, Olfa; Elfeleh, Raja; Almawi, Wassim Y.; Mahjoub, Touhami

doi:10.1016/j.placenta.2016.05.007

Cited by 18 publications

(16 citation statements)

References 23 publications

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“…The 15 angiogenic proteins were selected from 17 analytes available for this platform based on comprehensive review of the literature for factors directly or indirectly associated with preeclampsia or FGR, that could biologically exert their effects through placental vascular disease: epidermal growth factor, hepatocyte growth factor, and heparin-binding epidermal growth factor 18 ; angiopoietin-2, endoglin, vascular endothelial growth factor (VEGF), and placental growth factor (PIGF) 19 ; granulocyte colony-stimulating factor (G-CSF) and interleukin-8 20 ; endothelin-1 21 ; leptin 22 ; and fibroblast growth factor-1 and fibroblast growth factor-2. 23 Plasma samples were thawed on ice and prepared in 1:3 dilution. The samples were analyzed on the Luminex platform according to manufacturer’s instructions.…”

Section: Methodsmentioning

confidence: 99%

Cord Blood Biomarkers of Placental Maternal Vascular Underperfusion Predict Bronchopulmonary Dysplasia-Associated Pulmonary Hypertension

Mestan

Gotteiner

Porta

et al. 2017

The Journal of Pediatrics

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Objective To assess whether cord blood biomarkers associated with placental maternal vascular underperfusion (MVU) are predictive of bronchopulmonary dysplasia-associated pulmonary hypertension (BPD-PH). Study design Premature infants enrolled in a longitudinal cohort study were randomly sampled from 4 gestational age strata (n = 190, range 23–36 weeks). Fifteen factors from a human angiogenesis panel were measured in cord blood using multiplex immunoassay. Multivariate linear regression was used to compare biomarker levels according to placental histologic MVU, taking into account acute/chronic inflammation and fetal vascular pathology. Biomarkers associated with MVU were further evaluated in the subgroup of extremely low gestational age infants (gestational age ≤ 28 weeks; n = 48), and measured by enzyme-linked immunoassay in an additional 39 infants to determine associations with BPD (defined using the National Institutes of Health workshop criteria) and PH (identified by echocardiogram at 36 weeks of gestation). Results Cord blood placental growth factor (PIGF), granulocyte-colony stimulating factor (G-CSF), and vascular endothelial growth factor-A were decreased with MVU (P < .003), and decreased with BPD-PH (P < .05). The findings were validated for PIGF and G-CSF in 39 additional extremely low gestational age infants. In the combined group (n = 87), PIGF was decreased in infants with BPD-PH (n = 21) versus controls without PH (median 3 pg/mL [IQR 2–7] vs median 15 pg/mL [IQR 6–30], respectively; P < .001). G-CSF was similarly decreased with BPD-PH (median, 55 pg/mL [IQR 38–85] vs median 243 pg/mL [IQR 48–1593], respectively; P = .001). Receiver operator curve analysis revealed that decreased PIGF and G-CSF were predictive of BPD-PH (area under the curve 0.83 and 0.76, respectively). Conclusions Cord blood angiogenic factors that are decreased with placental MVU may serve as predictors of BPD-PH.

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Section: Methodsmentioning

confidence: 99%

Cord Blood Biomarkers of Placental Maternal Vascular Underperfusion Predict Bronchopulmonary Dysplasia-Associated Pulmonary Hypertension

Mestan

Gotteiner

Porta

et al. 2017

The Journal of Pediatrics

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“…FGF1, also known as acidic fibroblast growth factor (aFGF), is a cellular growth factor and signaling protein encoded by the FGF1 gene. FGF1 is a strong angiogenic factor controls the development of new blood vessels (Marwa et al 2016) and has been detected through studying endothelial cells infected with influenza virus (Zeng et al 2012).…”

Section: Given the Important Association Between Heparin-binding Go Amentioning

confidence: 99%

The transcriptomic profiling of COVID-19 compared to SARS, MERS, Ebola, and H1N1

Alsamman

Zayed

2020

Preprint

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COVID-19 pandemic is a global crisis that threatens our way of life. As of April 29, 2020, COVID-19 has claimed more than 200,000 lives, with a global mortality rate of~7% and recovery rate of~30%. Understanding the interaction of cellular targets to the SARS-CoV2 infection is crucial for therapeutic development. Therefore, the aim of this study was to perform a comparative analysis of transcriptomic signatures of infection of COVID-19 compared to different respiratory viruses (Ebola, H1N1, MERS-CoV, and SARS-CoV), to determine unique anti-COVID1-19 gene signature. We identified for the first time molecular pathways for Heparin-binding, RAGE, miRNA, and PLA2 inhibitors, to be associated with SARS-CoV2 infection. The NRCAM and SAA2 that are involved in severe inflammatory response, and FGF1 and FOXO1genes, which are associated with immune regulation, were found to be associated with a cellular gene response to COVID-19 infection. Moreover, several cytokines, most significantly the IL-8, IL-6, demonstrated key associations with COVID-19 infection. Interestingly, the only response gene that was shared between the five viral infections was SERPINB1. The PPI study sheds light on genes with high interaction activity that COVID-19 shares with other viral infections. The findings showed that the genetic pathways associated with Rheumatoid arthritis, AGE-RAGE signaling system, Malaria, Hepatitis B, and Influenza A were of high significance. We found that the virogenomic transcriptome of infection, gene modulation of host antiviral responses, and GO terms of both COVID-19 and Ebola are more similar compared to SARS, H1N1, and MERS. This work compares the virogenomic signatures of highly pathogenic viruses and provides valid targets for potential therapy against COVID-19.

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“…Accumulating evidence supported the association between the occurrence and progression of PE and genetics [ 9 , 11 ]. On the contrary, the ethnicity heterogeneity for the association was observed repeatedly [ 20 , 22 , 23 ]. This study further observed the ethnicity heterogeneity in the Han Chinese population for the genetic risks of PE.…”

Section: Discussionmentioning

confidence: 99%

“…The environmental factors, disease history, and concurrent clinical manifestations have been identified as risk factors and used for the clinical guidance of earlier detection of PE [ 12 , 13 ] despite the critical arguments on the weak specificity and sensitivity [ 18 ]. Recently, a couple of genetic factors have been demonstrated to have an association with PE onsets independently or interactively with each other or with environmental factors [ 9 – 11 , 19 , 20 ]. Inclusion of the high-risk or low-risk genetic factors could improve the prediction sensitivity and specificity of PE, facilitating earlier antenatal screening and intervention of population with higher PE susceptibility [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

“…Inclusion of the high-risk or low-risk genetic factors could improve the prediction sensitivity and specificity of PE, facilitating earlier antenatal screening and intervention of population with higher PE susceptibility [ 21 ]. However, studies also disclosed the large variance in genetic components and corresponding PE risk odds among ethnic populations [ 20 , 22 , 23 ]. Therefore, population-specific identification of genetic-risk factors appears necessary and significant for more effective prediction of population with a high or low PE susceptibility.…”

Section: Introductionmentioning

confidence: 99%

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Combination of Genetic Markers and Age Effectively Facilitates the Identification of People with High Risk of Preeclampsia in the Han Chinese Population

Zhou

Hui

Yuan

et al. 2018

BioMed Research International

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Objective This study aimed to analyze the possible association between known genetic risks and preeclampsia in a Han Chinese population. Methods A total of 156 patients with preeclampsia and 286 healthy Han Chinese women were enrolled and genotyped for 27 genetic alleles associated with preeclampsia in different populations. The association between the genotypes of the individual alleles and preeclampsia and the possible interaction among the alleles were analyzed. Finally logistic models were trained with the genotypes of possible alleles contributing to preeclampsia. Results Seven alleles were significantly or marginally significantly associated with preeclampsia, which involved six genes (rs4762 in AGT, rs1800896 in IL-10, rs1800629 and rs1799724 in TNFα, rs2070744 in NOS3, rs7412 in APOE, and rs2549782 in ERAP2). A multilocus interaction analysis further disclosed an interaction among seven alleles. A logistic model showing individual or synergetic contribution to preeclampsia could reach ~0.67 preeclampsia prediction accuracy in the Han Chinese population, while integration of age information could improve the performance to ~0.75 accuracy using a fivefold training-testing evaluation strategy. Conclusions The genetic factors were closely associated with preeclampsia in the Han Chinese population despite large ethnicity heterogeneity. The genotypes of different alleles also had synergetic interactions.

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FGF1 and FGF2 mutations in preeclampsia and related features

Cited by 18 publications

References 23 publications

Cord Blood Biomarkers of Placental Maternal Vascular Underperfusion Predict Bronchopulmonary Dysplasia-Associated Pulmonary Hypertension

Cord Blood Biomarkers of Placental Maternal Vascular Underperfusion Predict Bronchopulmonary Dysplasia-Associated Pulmonary Hypertension

The transcriptomic profiling of COVID-19 compared to SARS, MERS, Ebola, and H1N1

Combination of Genetic Markers and Age Effectively Facilitates the Identification of People with High Risk of Preeclampsia in the Han Chinese Population

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