Publications by authors named "Luis Garcia-Puente"

Preeclampsia, a serious and potentially life-threatening medical complication occurring during pregnancy, is characterized by hypertension and often accompanied by proteinuria and multiorgan dysfunction. It is classified into two subtypes based on the timing of diagnosis: early-onset (EO-PE) and late-onset preeclampsia (LO-PE). Despite being less severe and exhibiting distinct pathophysiological characteristics, LO-PE is more prevalent than EO-PE, although both conditions have a significant impact on placental health.

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Preeclampsia (PE) is a serious hypertensive disorder affecting 4-5% of pregnancies globally, leading to maternal and perinatal morbidity and mortality and reducing life expectancy in surviving women post-gestation. Late-onset PE (LO-PE) is a clinical type of PE diagnosed after 34 weeks of gestation, being less severe than the early-onset PE (EO-PE) variant, although both entities have a notable impact on the placenta. Despite the fact that most studies have focused on EO-PE, LO-PE does not deserve less attention since its prevalence is much higher and little is known about the role of the placenta in this pathology.

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Article Synopsis
  • Pre-eclampsia is a serious pregnancy condition marked by high blood pressure and protein in urine, with early-onset (EO-PE) and late-onset (LO-PE) classifications; LO-PE is more common but generally less severe.
  • Previous studies indicated that inflammation in the placenta could contribute to pre-eclampsia, with hints that inflammasome hyperactivation might affect immune responses in affected women.
  • This study analyzed gene and protein levels of inflammasome components in placentas from women with LO-PE, finding significant increases that suggest NLRP3 inflammasome involvement in the condition, highlighting the need for further research on this area.
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Oxidative stress is a major cellular event that occurs in the placenta, fulfilling critical physiological roles in non-pathological pregnancies. However, exacerbated oxidative stress is a pivotal feature of different obstetric complications, like pre-eclampsia, fetal growth restriction, and other diseases. Compelling evidence supports the relevant role of diet during pregnancy, with pleiotropic consequences for maternal well-being.

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The RANK-RANKL-OPG system is a complex signaling pathway that plays a critical role in bone metabolism, mammary epithelial cell development, immune function, and cancer. RANKL is a ligand that binds to RANK, a receptor expressed on osteoclasts, dendritic cells, T cells, and other cells. RANKL signaling promotes osteoclast differentiation and activation, which leads to bone resorption.

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Article Synopsis
  • * This study aimed to analyze inflammatory markers in the umbilical cord of women with CVD compared to healthy pregnant women, focusing on proteins like AIF-1, IL-12A, IL-18, and IL-10.
  • * Results showed that umbilical cords from women with CVD had higher levels of pro-inflammatory markers (AIF-1, IL-12A, IL-18) and lower levels of the anti-inflammatory marker IL-10, indicating a heightened inflammatory state potentially affecting the mother and fetus
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Macrophages are a type of immune cell distributed throughout all tissues of an organism. Allograft inflammatory factor 1 (AIF1) is a calcium-binding protein linked to the activation of macrophages. AIF1 is a key intracellular signaling molecule that participates in phagocytosis, membrane ruffling and F-actin polymerization.

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Breast cancer is one of the most common malignancies worldwide and the most common form of cancer in women. A large proportion of patients begin with localized disease and undergo treatment with curative intent, while another large proportion of patients debuts with disseminated metastatic disease. In the last subgroup of patients, the prognosis in recent years has changed radically, given the existence of different targeted therapies thanks to the discovery of different biomarkers.

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Background: The inference of gene regulatory networks (GRNs) from experimental observations is at the heart of systems biology. This includes the inference of both the network topology and its dynamics. While there are many algorithms available to infer the network topology from experimental data, less emphasis has been placed on methods that infer network dynamics.

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