Associated factors for maternal-foetal complications in pregnant women with sickle cell disease at the departmental University Hospital of Borgou and Alibori (Benin)

Background: Sickle cell disease is one of the most common genetic disorders in the world, with a high prevalence in Africa. It is a pathology that threatens the maternal-fetal prognosis in case of pregnancy. The objective of this study was to describe the maternal-foetal complications and to identify the factors associated with maternal-foetal complications in sickle cell pregnant women (SP).Methods: This was a descriptive cross-sectional study with retrospective data collection over a period of 4 years (01 January 2015 to 31 August 2019). The study population was All SP who had given birth in the maternity ward of the UH of Borgou/Alibori.Results: We recorded 130 SP out of 10087 admissions, either a frequency of 1.3%. There were 119/130 exploitable files. Maternal complications during pregnancy were: vaso-occlusive crises 79%; severe anaemia 27.7%; hyponatremia 10.1%; vasculo-renal syndromes 18.4%; infections 74.8%. The foetal complications during pregnancy were: Preterm births 38.6%, in utero deaths 17.6%, low birth weight 54.7%. Early neonatal mortality was 8.4% (8/95). There was a 4.2% (5/119) of maternal deaths. Low educational level of the SP, SS genotype, insufficient antenatal follow-up and antenatal follow-up outside the specialized center for the care of sickle cell pregnant women (SCCSP) were the factors associated with maternal-foetal complications in the SP.Conclusions: The association of pregnancy and sickle cell disease is frequent in West Africa, particularly in Benin, and is characterised by numerous maternal-foetal complications that are associated with certain factors

Cloning and heterologous expression of bovine pyroglutamyl peptidase type-1 in Escherichia coli : purification , biochemical and kinetic characterisation

We describe the cloning, expression and purification of the bovine XM866409 form of pyroglutamyl-aminopeptidase I. The amino acid sequence, deduced from the nucleotide sequence, revealed that it consists of 209 amino acid residues and showed to have 98% homology with the human AJ278828 form of the enzyme. Three amino acid residues at positions 81, 205 and 208 were found to vary among the two sequences. The bovine enzyme was expressed in XL10-gold Esherichia coli cells. Immobilizied Ni-ion affinity chromatography was used to purify the expressed protein resulting in a yield of 3.3mg of PAP1 per litre culture. The purified enzyme had a specific activity of 1700 units/ml. SDS-PAGE produced a single band for bovine PAP1 with a molecular weight of ~23-24 kDa which is in good agreement with previously reported data on PAP1. Kinetic constants Km and Kcat were 59μΜ and 3.5s-1, respectively. It possessed an optimum pH between 9-9.5, a temperature of 37°C and showed an absolute requirement for a thiol-reducing agent (10mM DTT). EDTA didn’t prove to have an effect on enzyme activity. Competitive inhibition was seen with pyroglutamyl peptides pGlu-His-Pro-NH2 (TRH; Ki= 44.1 uM), pGlu-Ala- OH (Ki=141 uM) and pGlu-Val-OH (Ki=652.17)

Prediction of Protein Modification Sites of Pyrrolidone Carboxylic Acid Using mRMR Feature Selection and Analysis

Pyrrolidone carboxylic acid (PCA) is formed during a common post-translational modification (PTM) of extracellular and multi-pass membrane proteins. In this study, we developed a new predictor to predict the modification sites of PCA based on maximum relevance minimum redundancy (mRMR) and incremental feature selection (IFS). We incorporated 727 features that belonged to 7 kinds of protein properties to predict the modification sites, including sequence conservation, residual disorder, amino acid factor, secondary structure and solvent accessibility, gain/loss of amino acid during evolution, propensity of amino acid to be conserved at protein-protein interface and protein surface, and deviation of side chain carbon atom number. Among these 727 features, 244 features were selected by mRMR and IFS as the optimized features for the prediction, with which the prediction model achieved a maximum of MCC of 0.7812. Feature analysis showed that all feature types contributed to the modification process. Further site-specific feature analysis showed that the features derived from PCA's surrounding sites contributed more to the determination of PCA sites than other sites. The detailed feature analysis in this paper might provide important clues for understanding the mechanism of the PCA formation and guide relevant experimental validations

Breaking Functional Connectivity into Components: A Novel Approach Using an Individual-Based Model, and First Outcomes

Landscape connectivity is a key factor determining the viability of populations in fragmented landscapes. Predicting ‘functional connectivity’, namely whether a patch or a landscape functions as connected from the perspective of a focal species, poses various challenges. First, empirical data on the movement behaviour of species is often scarce. Second, animal-landscape interactions are bound to yield complex patterns. Lastly, functional connectivity involves various components that are rarely assessed separately. We introduce the spatially explicit, individual-based model FunCon as means to distinguish between components of functional connectivity and to assess how each of them affects the sensitivity of species and communities to landscape structures. We then present the results of exploratory simulations over six landscapes of different fragmentation levels and across a range of hypothetical bird species that differ in their response to habitat edges. i) Our results demonstrate that estimations of functional connectivity depend not only on the response of species to edges (avoidance versus penetration into the matrix), the movement mode investigated (home range movements versus dispersal), and the way in which the matrix is being crossed (random walk versus gap crossing), but also on the choice of connectivity measure (in this case, the model output examined). ii) We further show a strong effect of the mortality scenario applied, indicating that movement decisions that do not fully match the mortality risks are likely to reduce connectivity and enhance sensitivity to fragmentation. iii) Despite these complexities, some consistent patterns emerged. For instance, the ranking order of landscapes in terms of functional connectivity was mostly consistent across the entire range of hypothetical species, indicating that simple landscape indices can potentially serve as valuable surrogates for functional connectivity. Yet such simplifications must be carefully evaluated in terms of the components of functional connectivity they actually predict

Cytokine profile associated with fungal infections in patients with otitis media

The current study includes a collection of (90) middle ear swabs samples from patients with middle ear infection who attended at the ENT unit at Al- Hilla Teaching Hospital and Imam Sadiq Hospital in Babylon city during the period from October 2021 to February 2022. The blood samples were collected from all patients as well as (40) apparently healthy control. The fungal isolates were identified according to cultural, biochemical tests, confirmed by VITEK 2 system compact. The results revealed that 15:90 were fungal positive culture. The most common fungal pathogen is Candida parapsilosis (10:15). Cytokine profile for patients revealed that IFN-γ and CTLA-4 increase in patients as compared to control versus IL-10 increases in control than patients