Biology subjects

Costa, M. L.

Publications and source records attributed to Costa, M. L..

4 recordsLinked to original sources

bioRxiv2025

SARS-CoV-2 infection disrupts syncytial and endothelial integrity and alters PLGF levels in the placenta

IntroductionSARS-CoV-2 infection during pregnancy has been associated with an increased risk for several pregnancy-related disorders, particularly preeclampsia (PE). However, there are limited studies determining the impact of SARS-CoV-2 on placental physiology and function. MethodsPlacental samples were acquired from two large prospective cohorts: STOP-COVID19 and REBRACO studies. Placental villous tissues (VTs) were collected from pregnant women who tested positive for SARS-CoV-2 without PE during pregnancy. Immunohistochemistry and immunofluorescence were used to assess pathological features known to be altered in PE, including 1) syncytial knot formation; 2) alterations in renin-angiotensin system components; 3) and endothelial integrity. Maternal serum was collected to examine AT1 autoantibodies levels using an immunoassay. ResultsSARS-CoV-2 viral proteins spike, nucleocapsid, and ORF3a were observed in the syncytiotrophoblast layer and stroma of placental VT. SARS-CoV-2-infected placentas exhibited increased numbers of syncytial knots, which were positive for Flt-1 and SARS-CoV-2 viral proteins. In addition, the presence of placental infarctions and excessive fibrin deposits was also observed in infected placentas. Infection was associated with decreased placental expression of PlGF and an increase in the placental Flt-1/PlGF expression ratio, mostly driven by PlGF. No significant changes in maternal serum AT1AA levels were observed. Finally, SARS-CoV-2-infected placentas exhibited a significant decrease in vimentin expression. DiscussionSARS-CoV-2 infection negatively impacts placental integrity in the form of increased syncytial knots, dysregulated RAS components, and endothelial damage. Since all these features are similarly disrupted in PE, this could be a mechanism through which SARS-CoV-2 infection during pregnancy increases the risk of a PE-like syndrome.

microbiology↗

bioRxiv2024

Exploring cellular changes in ruptured human quadriceps tendons at single-cell resolution

Tendon ruptures in humans have regularly been studied during the chronic phase of injury. However, the early response to injury remains less investigated. Quadriceps tendons, which require prompt surgical treatment, offer a model to investigate this early response. Therefore, this study aimed to explore the early cellular changes in ruptured compared to healthy human quadriceps tendons. Quadriceps tendon samples were collected from patients undergoing tibial shaft fracture repair (healthy) or tendon repair surgery for complete rupture (collected 7-8 days post-injury). Nuclei were isolated for single-nucleus RNA sequencing, and comprehensive transcriptomic analysis was conducted to profile cellular changes. The transcriptomes of 12,808 nuclei were profiled, including 7,268 nuclei from healthy and 5,540 nuclei from ruptured quadriceps tendons, revealing 12 major cell types and several cell subtypes and states. Rupture samples showed increased expression of genes related to extracellular matrix organisation and cell cycle signalling, and a decrease in expression of genes in lipid metabolism pathways. These changes were driven predominantly by gene expression changes in the fibroblast, vascular endothelial cells (VECs), mural cell, and macrophage populations: fibroblasts shift to an activated phenotype upon rupture and there is an increase in proportion of capillary and dividing VECs, suggesting an angiogenic response. A diverse immune environment was observed, with a shift from homeostatic to activated macrophages following rupture. Cell-cell interactions increased in rupture, both in their number and diversity, and primarily involving fibroblast and endothelial cell populations. Collectively, this transcriptomic analysis suggests that fibroblasts and endothelial cells are key orchestrators of the early injury response within ruptured quadriceps tendon.

genomics↗

bioRxiv2021

Gas6 drives Zika virus-induced neurological complications in humans and congenital syndrome in immunocompetent mice

Zika virus (ZIKV) has the ability to cross placental and brain barriers, causing congenital malformations in neonates and neurological disorders in adults. However, the pathogenic mechanisms of ZIKV-induced neurological complications in adults and congenital malformations remain unknown. Gas6 is a soluble TAM receptor ligand able to promote flavivirus internalization and downregulation of immune responses. Here we demonstrate high Gas6 levels in the serum of patients with neurological complications which correlated with downregulation of genes associated with the type I IFN responses as consequence of Socs1 upregulation. Gas6 gamma-carboxylation is essential for ZIKV replication in monocytes, the main source of this protein. Gas6 also facilitates ZIKV replication in adult immunocompetent mice enabled susceptibility to transplacental infection and congenital malformations. Our data thus indicate that ZIKV promotes the upregulation of its ligand Gas6, which contributes to viral infectivity and drives the development of severe adverse outcomes during ZIKV infection.

microbiology↗

bioRxiv2019

Method to generate growth and degrowth models obtained from combinations of existing models applied to agrarian sciences

Mathematical models that describe gas production are widely used to estimate the rumen degradation digestibility and kinetics. The present study presents a method to generate models by combining existing models and to propose the von Bertalanffy-Gompertz two-compartment model based on this method. The proposed model was compared with the logistic two-compartment one to indicate which best describes the kinetic curve of gas production through the semi-automated in vitro technique from different pinto peanut cultivars. The data came from an experiment grown and harvested at the Far South Animal Sciences station (Essul) in Itabela, BA, Brazil and gas production was read at 2, 4, 6, 8, 10, 12, 14, 17, 20, 24, 28, 32, 48, 72, and 96 h after the start of the in vitro fermentation process. The parameters were estimated by the least squares method using the iterative Gauss-Newton process in the software R version 3.4.1. The best model to describe gas accumulation was based on the adjusted coefficient of determination, residual mean squares, mean absolute deviation, Akaike information criterion, and Bayesian information criterion. The von Bertalanffy-Gompertz two-compartment model had the best fit to describe the cumulative gas production over time according to the methodology and conditions of the present study.

developmental biology↗