Maternal Interleukin-17 and disease activity influence pregnancy outcomes in women with psoriatic arthritis and ankylosing spondylitis.

OBJECTIVE: We aimed in this study to evaluate the impact of maternal interleukin -17A and the activity of the illness on pregnancy outcomes in Psoriatic arthritis (PsA) and ankylosing spondylitis (AS) patients. METHODS: This prospective cohort research was carried out on 48 Psoriatic arthritis and ankylosing spondylitis pregnant women attending the inpatient and outpatient clinics of the Rheumatology & Rehabilitation and Obstetrics & Gynecology Departments, Faculty of Medicine, Zagazig University Hospitals in Egypt and 30 apparently healthy age- and sex-matched pregnant women between January 1,2018, and December 31, 2019. RESULTS: The study group patients had a higher risk of preterm labour (32-36 weeks gestation) (aRR 1.80, 95% CI 0.79-4.17), oligohydramnios (aRR 3.15, 95% CI 1.26-8.42), Caesarean delivery (aRR 1.57, 95% CI 1.41-2.68), and delivering infants small for gestational age (aRR 7.04, 95% CI 2.36-12.42). There was significant difference between the control group and the study groups regarding the level of IL-17A. CONCLUSION: Many females with PsA and AS have uninhibited pregnancy with regard to adverse events, but in comparison with normal pregnancies particularly with high IL-17A during the third trimester we noticed a growing risk of preterm labour, oligohydramnios and cesarean section. Further studies are needed to evaluate high maternal IL-17A levels and fetal outcomes.

Dienogest versus norethisterone acetate in management of endometrial hyperplasia without atypia.

OBJECTIVES: To compare the effectiveness of dienogest (DIE) and norethisterone acetate (NETA) regimens in the treatment of endometrial hyperplasia (EH) without atypia. METHODS: Participants were premenopausal women with irregular uterine bleeding, and endometrial hyperplasia without atypia on endometrial biopsy. Enrolled patients were randomly allocated into two groups: group I got DIE 2 mg/day (orally Visanne) for 14 days (10th to the 25th day of cycle) while group II received between the 16th and 25th day of the cycle, norethisterone acetate (NETA) 15 mg/d (orally Primolut Nor) was administered for 10 days. Both groups continued the therapy for six months. RESULTS: The DIE group showed a higher resolution (32.7%) and regression (57.7%) than NETA group (31% & 37.9%, respectively) with significant regression (p = 0.039). No progression in DIE group while four (6.9%) women in NETA group were recorded a progression to complex type without a significance. Also, NETA group showed a significant persistence rate (22.5%) than DIE group (3.8%) (p = 0.005). Also number in NETA group managed by hysterectomy with significant difference (p = 0.042). CONCLUSION: If used as first-line treatment, Dienogest produces a better rate of regression and a lower incidence of hysterectomy than Norethisterone Acetate does when used in EH without atypia.

Accuracy of the risk of malignancy index-I in diagnosing ovarian malignancy in menopausal women.

Introduction: To detect the accuracy of the risk of malignancy index-I (RMI-I) in diagnosing ovarian malignancy in menopausal women. Material and methods: Eighty-two menopausal women with suspected ovarian masses (OMs) scheduled for surgery were included in this study. Blood samples were preoperatively collected from participants to measure the CA-125, followed by transvaginal sonography to evaluate the suspected OMs regarding the consistency, whether the OMs were unilateral or bilateral, unilocular or multilocular, and for extra-ovarian metastasis. The preoperative RMIs were compared to the postoperative histology of the excised OMs to detect the accuracy of RMI-I at a cut-off value of 200 in diagnosing ovarian malignancy. The receiver operating characteristic curve was also used to detect the cut-off value of RMI-I with the highest sensitivity and specificity in diagnosing ovarian malignancy in menopausal women. Results: The incidence of benign and malignant OMs in the studied menopausal women was 59.8% and 40.2%, respectively. The risk of malignancy index-I at a cut-off value 200 in this study had 75.8% sensitivity, 91.8% specificity, 86.2% positive predictive value (PPV), and 84.9% negative predictive value (NPV) in diagnosing ovarian malignancy in menopausal women. The receiver operating characteristic curve showed that the RMI-I at a cut-off value of > 241.5 had 96% sensitivity and 94.74% specificity in diagnosing ovarian malignancy in menopausal women (AUC 0.98, 95% CI: 0.92-0.99, p < 0.001). Conclusions: The risk of malignancy index I at a cut-off value of 200 had 75.8% sensitivity, 91.8% specificity, 86.2% PPV, and 84.9% NPV in diagnosing ovarian malignancy in menopausal women. The receiver operating characteristic curve showed that the RMI-I at a cut-off value > 241.5 had 96% sensitivity and 94.74% specificity in diagnosing ovarian malignancy in menopausal women.

An atlas of white matter anatomy, its variability, and reproducibility based on constrained spherical deconvolution of diffusion MRI.

Virtual dissection of white matter (WM) using diffusion MRI tractography is confounded by its poor reproducibility. Despite the increased adoption of advanced reconstruction models, early region-of-interest driven protocols based on diffusion tensor imaging (DTI) remain the dominant reference for virtual dissection protocols. Here we bridge this gap by providing a comprehensive description of typical WM anatomy reconstructed using a reproducible automated subject-specific parcellation-based approach based on probabilistic constrained-spherical deconvolution (CSD) tractography. We complement this with a WM template in MNI space comprising 68 bundles, including all associated anatomical tract selection labels and associated automated workflows. Additionally, we demonstrate bundle inter- and intra-subject variability using 40 (20 test-retest) datasets from the human connectome project (HCP) and 5 sessions with varying b-values and number of b-shells from the single-subject Multiple Acquisitions for Standardization of Structural Imaging Validation and Evaluation (MASSIVE) dataset. The most reliably reconstructed bundles were the whole pyramidal tracts, primary corticospinal tracts, whole superior longitudinal fasciculi, frontal, parietal and occipital segments of the corpus callosum and middle cerebellar peduncles. More variability was found in less dense bundles, e.g., the fornix, dentato-rubro-thalamic tract (DRTT), and premotor pyramidal tract. Using the DRTT as an example, we show that this variability can be reduced by using a higher number of seeding attempts. Overall inter-session similarity was high for HCP test-retest data (median weighted-dice = 0.963, stdev = 0.201 and IQR = 0.099). Compared to the HCP-template bundles there was a high level of agreement for the HCP test-retest data (median weighted-dice = 0.747, stdev = 0.220 and IQR = 0.277) and for the MASSIVE data (median weighted-dice = 0.767, stdev = 0.255 and IQR = 0.338). In summary, this WM atlas provides an overview of the capabilities and limitations of automated subject-specific probabilistic CSD tractography for mapping white matter fasciculi in healthy adults. It will be most useful in applications requiring a reproducible parcellation-based dissection protocol, and as an educational resource for applied neuroimaging and clinical professionals.

Virtual brain grafting: Enabling whole brain parcellation in the presence of large lesions.

Brain atlases and templates are at the heart of neuroimaging analyses, for which they facilitate multimodal registration, enable group comparisons and provide anatomical reference. However, as atlas-based approaches rely on correspondence mapping between images they perform poorly in the presence of structural pathology. Whilst several strategies exist to overcome this problem, their performance is often dependent on the type, size and homogeneity of any lesions present. We therefore propose a new solution, referred to as Virtual Brain Grafting (VBG), which is a fully-automated, open-source workflow to reliably parcellate magnetic resonance imaging (MRI) datasets in the presence of a broad spectrum of focal brain pathologies, including large, bilateral, intra- and extra-axial, heterogeneous lesions with and without mass effect. The core of the VBG approach is the generation of a lesion-free T1-weighted image, which enables further image processing operations that would otherwise fail. Here we validated our solution based on Freesurfer recon-all parcellation in a group of 10 patients with heterogeneous gliomatous lesions, and a realistic synthetic cohort of glioma patients (n = 100) derived from healthy control data and patient data. We demonstrate that VBG outperforms a non-VBG approach assessed qualitatively by expert neuroradiologists and Mann-Whitney U tests to compare corresponding parcellations (real patients U(6,6) = 33, z = 2.738, P < .010, synthetic-patients U(48,48) = 2076, z = 7.336, P < .001). Results were also quantitatively evaluated by comparing mean dice scores from the synthetic-patients using one-way ANOVA (unilateral VBG = 0.894, bilateral VBG = 0.903, and non-VBG = 0.617, P < .001). Additionally, we used linear regression to show the influence of lesion volume, lesion overlap with, and distance from the Freesurfer volumes of interest, on labeling accuracy. VBG may benefit the neuroimaging community by enabling automated state-of-the-art MRI analyses in clinical populations using methods such as FreeSurfer, CAT12, SPM, Connectome Workbench, as well as structural and functional connectomics. To fully maximize its availability, VBG is provided as open software under a Mozilla 2.0 license (https://github.com/KUL-Radneuron/KUL_VBG).

Isolation and propagation of an Egyptian Theileria annulata infected cell line and evaluation of its use as a vaccine to protect cattle against field challenge.

Tropical theileriosis is an important protozoan tick-borne disease in cattle. Vaccination using attenuated schizont-infected cell lines is one of the methods used for controlling the disease. This study describes the production of attenuated schizont-infected cell lines from Egypt and an evaluation of its use as a vaccine to protect calves against clinical disease upon field challenge. Two groups of exotic and crossbred male calves were divided into vaccinated and control groups. The vaccinated groups were inoculated with 4 ml (1 × 106 cells/ml) of the attenuated cell line. Three weeks after vaccination, calves of both groups were transported to the New Valley Governorate (Egyptian oasis) where they were kept under field conditions and exposed to the natural Theileria annulata challenge. All animals in the control group showed severe clinical signs and died despite treatment with buparvaquone, which was administered after two days of persistent fever due to a severe drop in packed cell volume (PCV). Animals in the vaccinated group became seropositive without developing severe clinical signs other than transient fever. Post-mortem examinations revealed enlarged and fragile lymph nodes, spleen, and liver with necrosis and hemorrhages. These findings indicate that the Egyptian attenuated cell line was successful in protecting both exotic and crossbred animals against tropical theileriosis under field conditions.

Exploring personalized structural connectomics for moderate to severe traumatic brain injury.

Graph theoretical analysis of the structural connectome has been employed successfully to characterize brain network alterations in patients with traumatic brain injury (TBI). However, heterogeneity in neuropathology is a well-known issue in the TBI population, such that group comparisons of patients against controls are confounded by within-group variability. Recently, novel single-subject profiling approaches have been developed to capture inter-patient heterogeneity. We present a personalized connectomics approach that examines structural brain alterations in five chronic patients with moderate to severe TBI who underwent anatomical and diffusion magnetic resonance imaging. We generated individualized profiles of lesion characteristics and network measures (including personalized graph metric GraphMe plots, and nodal and edge-based brain network alterations) and compared them against healthy reference cases (N = 12) to assess brain damage qualitatively and quantitatively at the individual level. Our findings revealed alterations of brain networks with high variability between patients. With validation and comparison to stratified, normative healthy control comparison cohorts, this approach could be used by clinicians to formulate a neuroscience-guided integrative rehabilitation program for TBI patients, and for designing personalized rehabilitation protocols based on their unique lesion load and connectome.

Fetal anomalies in gestational diabetes mellitus and risk of fetal anomalies in relation to pre-conceptional blood sugar and glycosylated hemoglobin.

BACKGROUND: The risk of fetal anomalies (FAs) is increased in infants of diabetic mothers. FAs are closely related to the glycosylated hemoglobin (HbA1c) level in pregnancy. OBJECTIVES: To detect the prevalence of FAs in women with gestational diabetes mellitus (GDM). MATERIAL AND METHODS: 157 pregnant women with GDM were included in this study, and data from 151 women were analyzed. Beyond the regular antenatal check-up, the HbA1c was checked monthly during the antenatal follow-up. Collected data after delivery were analyzed to detect the prevalence of FAs in women with GDM and the risk of FAs in relation to the pre-conceptional blood sugar and HbA1c. RESULTS: The FAs were recorded in 8.6% (13) of the 151 women with GDM. The recorded FAs were cardiovascular [2.6% (4)], musculoskeletal [1.3% (2)], urogenital [1.3% (2)], gastrointestinal [1.3% (2)], facial [0.7% (1)], central nervous system [0.7% (1)], and multiple FAs [0.7% (1)]. The uncontrolled pre-conceptional blood sugar significantly increased RR [RR 2.2 (95%CI: 1.7-2.9); P < 0.001], and odds of FAs [OR 17.05 (95%CI: 2.2-134.9); P = 0.007] in women with GDM. In addition, the HbA1c ≥6.5 significantly increased RR [RR 2.8 (95% CI: 2.1-3.8); P < 0.001], and odds of FAs [OR 24.8 (95% CI: 3.1-196.7); P = 0.002] in women with GDM. CONCLUSION: In this study, the prevalence of FAs in women with GDM was 8.6%. Uncontrolled pre-conceptional blood sugar and HbA1c ≥6.5 in the first trimester significantly increased the relative risk and the odds of FAs.

Interferon-gamma Expression Profile as Diagnostic Signatures of Unexplained Infertility in Female Patients Suffer from Hashimoto's Thyroiditis.

Diagnosis of unexplained infertility (UEI) is made by exclusion and a relatively common problem that affects couples worldwide. Unfortunately, it is a not uncommon for females to suffer from Hashimoto's thyroiditis (HT). Interferon-gamma (IFN- γ) has a central key role in HT and in the ability to conceive. We aimed to estimate serum IFN- γ level and its expression profile in Egyptian women with HT and assess their possible association with UEI. In this study, we examined 120 women with HT. We evaluated fertility in all patients; female patients who suffer from UEI were detected. Diagnosis of HT was based on the clinical data and the laboratory measures, enzyme-linked immunosorbent assay was used to measure serum IFN- γ, and the expression of IFN-γ messenger ribonucleic acid (mRNA) was assayed by real-time polymerase chain reaction (PCR). According to the results of this study, 37.5 % of the studied females who suffered from HT were diagnosed with UEI. The serum level of IFN-γ and its gene expression showed a significant positive correlation with thyroid-stimulating hormone (TSH) and thyroid autoantibodies. However, a negative correlation was found with anti-müllerian hormone (AMH), free T4 (FT3), and free T4 (FT4). Analysis by linear regression revealed that TSH and FT3 were associated with serum level of IFN-γ; while FT3 was associated with IFN-γ gene expression. We concluded that both are valued markers in diagnosing UEI in female patients suffering from HT.