Explore the vast range of titles available.

Background: We aimed to investigate the presence of thyroid peroxidase antibodies (anti-TPO) in women with spontaneous abortion, both with and without toxoplasmosis. This was achieved by evaluating and comparing the serum levels of interleukins IL-4, IL-6, IL-10, IL-17, and TNF-α in women who experienced abortion due to toxoplasmosis, categorized by positive and negative anti-TPO status, with those who were toxoplasmosis-negative and also negative for anti-TPO. Methods: We evaluated the serological presence of IgG and IgM antibodies to Toxoplasma using an ELISA method, in Samarra City, Salah al-Din Governorate, Iraq in 2021-2022. A sample of 153 women with spontaneous abortion were enrolled. We also measured the serum levels of interleukins IL-4, IL-6, IL-10, IL-17, TNF-α, and anti-TPO using the same technique. Results: Overall, 103 were Toxoplasma-positive. Of these, 14 had positive anti-TPO results (13.5%), compared to only 3 positive cases among the 50 matched controls who were Toxoplasma-negative (6.0%). The difference between Toxoplasma-positive and Toxoplasma-negative women regarding anti-TPO status was statistically significant for interleukins IL-4 (P=0.010), IL-6 (P=0.017), and IL-10 (P=0.003), but not for IL-17 or TNF-α. Additionally, the statistical analysis revealed a highly significant difference in the average concentrations of interleukins IL-4 (P=0.013) and IL-10 (P<0.001) between the Toxoplasma-positive/anti-TPO-positive group and the Toxoplasma-negative/anti-TPO-negative group of aborted women. Conclusion: Elevated concentrations of IL-4, IL-10, and IL-6 have been associated with women undergoing recurrent miscarriages and negative anti-TPO results. The complex interaction between pro-inflammatory and anti-inflammatory cytokines is essential for immunological balance and pregnancy outcomes in a condition of toxoplasmosis. An increase in IL-4 and IL-10 levels in anti-TPO-positive individuals may lead to an imbalance in immune response, facilitating the development of autoimmune thyroid disease.

B7-H6 and PD-L1 belong to the B7 family co-stimulatory molecules fine-tuning the immune response. The present work investigates the clinical effect of B7-H6 protein expression with PD-L1 status and the infiltration of natural killer cells as potential biomarkers in breast tumor inflammatory microenvironment. The expression levels of B7-H6 protein by cancer cells and immune infiltrating cells in human breast cancer tissues and evaluate their associations with PD-L1 expression, NK cell status, clinical pathological features and prognosis were explored. The immunohistochemistry labeling method was used to assess B7-H6 and PD-L1 proteins expression by cancer and immune cells. The associations between immune checkpoint, major clinical pathological variables and survival rates were analyzed. B7-H6 protein was depicted in both breast and immune cells. Results showed that Tumor B7-H6 expression is highly associated with Her-2 over expression. B7-H6 + immune cells are highly related to the Scarff–Bloom–Richardson grade and associated with PD-L1 expression and NK cells status. Survival analysis revealed a better prognosis in patients with low expression of B7-H6 by cancer cells. Conversely, B7-H6 + immune cells were significantly associated with longer survival. Findings strongly suggest an interaction between B7 molecules that contributes to a particular design of the inflammatory microenvironment. This may influence the efficiency of therapies based on antibodies blocking the PD-L1/PD1 pathway and can explain the detection of clinical benefits only in a fraction of patients treated with immune checkpoint inhibitors.

Olive tree is an emblematic crop of the Mediterranean region, mainly renowned for its fruit oil, although the species provides several industrial purposes. The Mediterranean basin constitutes the origin of olive species diversification and represents a valuable source of genetic variability of olive germplasm. Therefore, the evaluation of the diversity and the population structure of this Mediterranean germplasm is a challenge for olive species preservation, crop breeding and genetic improvement. In this context, our study aims to analyze the genetic diversity and the population structure of 79 Mediterranean olive accessions using 15 genomic SSRs and by applying computational model-based approaches. The used SSRs revealed a total number of 225 alleles with a mean of 15 alleles per locus. Observed and expected heterozygosity (Ho = 0.79, He = 0.805) with a Polymorphism Information Content value of 0.775 indicate high level of genetic diversity. All results of the Unweighted Pair Group Method with Arithmetic (UPGMA), Jaccard similarity index, Principal Coordinate Analysis (PCoA) and the Bayesian analyses supported the separation of the Mediterranean varieties in two sub-populations, one of which mainly composed by Spanish accessions.

Intrinsically disordered proteins (IDPs) are often involved in diseases and have been shown to be promising targets for drug development. Here, we focus on the human disordered charged biased proteins (HDCBPs). We have investigated the association of the HDCBPs with diseases by integrating various sources that cover public sources of gene–disease associations and intensive literature mining. The results indicate that 95% of HDCBPs are associated with multiple diseases, including mainly various cancers, nervous, endocrine, immune, hematological, and respiratory systems diseases. Our data show that the HDCBP–disease network constructed by integrating different levels of data together may improve our understanding of these complex diseases. Moreover, we present the top-ranked proteins that might be potential markers for diagnostic and drug targets.

Background: This study explored the impact of occupational stress, personal factors, and physical conditions on work productivity decline (WPD) among workers in the Tunisian onshore oil and gas industry. Methods: We conducted a cross-sectional survey among 246 onshore oil installation workers of a Tunisian private oil company. 94 employees (48%) participated in this study. We used the Job Content Questionnaire to evaluate occupational stress and the Work Productivity and Activity Impairment Questionnaire to assess the WPD. Results: Data were analysed using R software. This study exclusively included male workers, with an average age of 41.1 ± 9.5 years. Binary logistic regression analysis identified low social support and job-strain situation as the most associated risk factors (OR >3). The random forest model suggested that professional category, job-strain situation, low social support, and iso-strain situation were the most important variables in predicting WPD. Conclusion: These data provided evidence that petroleum workers faced a monotonous lifestyle in the workplace, leading to high levels of occupational stress that affected their work productivity. This study is the first in Tunisia in the oil sector.

Background Inflammatory breast cancer (IBC) is a rare and aggressive form of breast cancer, characterized by distinct clinicopathological features and a relatively high frequency in North African countries. While several studies have explored the genetic basis of breast cancer, limited research has looked into the specific genetic features of this aggressive form. This study aims to investigate the genetic factors associated with IBC in North Africa, particularly among Tunisian patients. Methods Whole exome sequencing was performed for 13 patients with IBC. Clinicopathological data have been collected to assess the phenotype-genotype correlation. Both germline point mutations and copy number variations (CNVs) were analyzed. Genes and variants were prioritized through phenotype and genotype-driven approaches. Variants were filtered based on pathogenicity predictions and ACMG classification. A Gene-Disease association analysis was conducted using DisGeNET data and the VarElect online tool to select candidate genes most likely involved in disease onset. The predictive and prognostic values of the relevant genes were assessed using publicly available datasets. Results Our investigations revealed relevant genetic variants within established cancer predisposing genes, inflammatory pathways, and potential candidate predisposing genes, including BRCA2 c.1794_1798del, a novel mutation in RAD54L gene (c.1712T > C) and c.555_559del in IFNAR2 gene. CNVs in ABRAXAS1, XRCC2 and FANC genes were identified. We have also found that the high expression levels of RAD54L and MTHFR are correlated with good survival rates. The genetic makeup of IBC seems to be very heterogeneous. For the same patient, we have detected several relevant variants that might explain disease development and progression, and this was consistent with the family history of cancer observed in the investigated families. Conclusions Our findings revealed a complex and heterogeneous genetic background of IBC in the Tunisian population that might contribute to disease susceptibility and impact disease prognosis. The genetic features of IBC presented in this study provide valuable insights into the molecular mechanisms underlying the disease offering not only a deeper understanding within the context of Tunisia but also shedding light on its relevance to other North African populations characterized by similar epidemiological and genetic features.

To enhance and highlight the authentication and traceability of table olive oil, we considered the analysis of 11 Tunisian table olive cultivars based on seven SNP molecular markers (SOD, CALC, FAD2.1, FAD2.3, PAL70, ANTHO3, and SAD.1) localized in six different genes. Accordingly, we assessed the potential genotype-phenotypes links between the seven SNPs, on the one hand, and the quantitative and qualitative parameters, on the other. The obtained genotypes were analyzed with computational biology tools based on bivariate analysis, multinomial logistic regression, and the Bayesian networks modeling. Obtained results showed that PAL70 SNP marker was negatively influenced by the phenol rate (r = -0.886; p <0.001), the oxidative stability (r = -0.884; p <0.001), traducing a direct effect of the PAL70 genotype deviations on the proportion of total phenol for each variety. Additionally, we revealed a significant association of SAD.1 marker with the content of the linolenic unsaturated fatty acids (C18:3; p=0.046). Moreover, SAD.1 was positively correlated with the saturated stearic acid C18:0 (r = 0.644; p = 0.032) based on multinomial logistic regression and Bayesian networks modeling, respectively. This research work provides better understanding and characterization of the quality of Tunisian table olive and supplies a significant knowledge and data information for table olive traceability and breeding.

Several socio-economic problems have been hidden by the COVID-19 pandemic crisis. Particularly, the agricultural and food industrial sectors have been harshly affected by this devastating disease. Moreover, with the worldwide population increase and the agricultural production technologies being inefficient or obsolete, there is a great need to find new and successful ways to fulfill the increasing food demand. A new era of agriculture and food industry is forthcoming, with revolutionary concepts, processes and technologies, referred to as Agri-food 4.0, which enables the next level of agri-food production and trade. In addition, consumers are becoming more and more aware about the origin, traceability, healthy and high-quality of agri-food products. The integration of new process of production and data management is a mandatory step to meet consumer and market requirements. DNA traceability may provide strong approach to certify and authenticate healthy food products, particularly for olive oil. With this approach, the origin and authenticity of products are confirmed by the means of unique nucleic acid sequences. Selected tools, methods and technologies involved in and contributing to the advance of the agri-food sector are presented and discussed in this paper. Moreover, the application of DNA traceability as an innovative approach to authenticate olive products is reported in this paper as an application and promising case of smart agriculture.

One of the challenge fruit growers are facing is to balance between tree production and vegetative growth from year to year. To investigate the existence of genetic determinism for reproductive behaviour in olive tree, we studied an olive segregating population derived from a cross between 'Oliviere' and 'Arbequina' cultivars. Our strategy was based on (i) an annual assessment of individual trees yield, and (ii) a decomposition of adult growth units at the crown periphery into quantitative variables related to both flowering and fruiting process in relation to their growth and branching. Genetic models, including the year, genotype effects and their interactions, were built with variance function and correlation structure of residuals when necessary. Among the progeny, trees were either 'ON' or 'OFF' for a given year and patterns of regular vs. irregular bearing were revealed. Genotype effect was significant on yield but not for flowering traits at growth unit (GU) scale, whereas the interaction between genotype and year was significant for both traits. A strong genetic effect was found for all fruiting traits without interaction with the year. Based on the new constructed genetic map, QTLs with small effects were detected, revealing multigenic control of the studied traits. Many were associated to alleles from 'Arbequina'. Genetic correlations were found between Yield and Fruit set at GU scale suggesting a common genetic control, even though QTL co-localisations were in specific years only. Most QTL were associated to flowering traits in specific years, even though reproductive traits at GU scale did not capture the bearing status of the trees in a given year. Results were also interpreted with respect to ontogenetic changes of growth and branching, and an alternative sampling strategy was proposed for capturing tree fruiting behaviour. Regular bearing progenies were identified and could constitute innovative material for selection programs.

Attempts have been made to express or to merge different Cry proteins in order to enhance toxic effects against various insects. Cry1A proteins of Bacillus thuringiensis form a typical bipyramidal parasporal crystal and their protoxins contain a highly conserved C-terminal region. A chimerical gene, called cry(4Ba-1Ac), formed by a fusion of the N-terminus part of cry4Ba and the C-terminus part of cry1Ac , was constructed. Its transformation to an acrystalliferous B. thuringiensis strain showed that it was expressed as a chimerical protein of 116 kDa, assembled in spherical to amorphous parasporal crystals. The chimerical gene cry(4Ba-1Ac) was introduced in a B. thuringiensis kurstaki strain. In the generated crystals of the recombinant strain, the presence of Cry(4Ba-1Ac) was evidenced by MALDI-TOF. The recombinant strain showed an important increase of the toxicity against Culex pipiens larvae (LC 50  = 0.84 mg l −1  ± 0.08) compared to the wild type strain through the synergistic activity of Cry2Aa with Cry(4Ba-1Ac). The enhancement of toxicity of B. thuringiensis kurstaki expressing Cry(4Ba-1Ac) compared to that expressing the native toxin Cry4Ba, might be related to its a typical crystallization properties. The developed fusion protein could serve as a potent toxin against different pests of mosquitoes and major crop plants.