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A number of studies have demonstrated that exosomes were involved in important physiological and pathological processes through cell-to-cell communication in cardiovascular disease, which contained nucleic acids, proteins, and lipid contents. In our study, we found that the protein platelet endothelial cell adhesion molecule-1 (PECAM1) was an extracellular vesicle in the blood of high blood pressure patients (HBPP).Isolated the vesicles from the blood of HBPP and health examiners and detected its size and morphology with nanoparticle tracking analysis, then we identified its surface protein CD63, CD81, and the protein expression of PECAM1 in the exosome with western blot. Furthermore, we analyzed the correlation between the expression of PECAM1 and the high blood degree with linear regression analysis.Our results showed that the morphology of extracellular vesicles was more evident in high blood pressure groups than healthy controls, and the protein expression of PECAM1 was also abundant in the vesicles of th western blot. Furthermore, we analyzed the correlation between the expression of PECAM1 and the high blood degree with linear regression analysis.Our results showed that the morphology of extracellular vesicles was more evident in high blood pressure groups than healthy controls, and the protein expression of PECAM1 was also abundant in the vesicles of HBPP, however, there were no extracellular vesicles in the blood samples of healthy controls. Besides, linear regression showed the linear correlation coefficient R = 0.901, P  less then  .01 between the expression of PECAM1 and the systolic blood pressure of the high blood patients. Therefore, the exosome of protein of PECAM1 was a potential risking star in HBPP.

The present study aimed to investigate the association of A-kinase interacting protein 1 (AKIP1) with clinical characteristics, and further explore the prognostic value of AKIP1 in glioma patients.Totally 168 glioma patients who underwent tumor resection were analyzed, and their tumor tissue specimens were acquired for the detection of AKIP1 expression by immunohistochemistry (IHC), which was scored by a semi-quantitative method considering staining intensity and staining density.According to AKIP1 expression in tumor tissues of glioma patients, there were 65 (38.7%) patients with AKIP1 low expression (IHC score 0-3), 48 (28.6%) patients with AKIP1 high + expression (IHC score 4-6), 42 (25.0%) patients with AKIP1 high++ expression (IHC score 7-9) and 13 (7.7%) patients with AKIP1 high+++ expression (IHC score 10-12), respectively. AKIP1 expression was positively associated with World Health Organization grade. Overall survival (OS) was the lowest in the patients with AKIP1 high+++ expression, followed by thout adjuvant radiotherapy, with/without adjuvant chemotherapy. Further multivariate Cox's regression exhibited that AKIP1 high expression was an independent predictive factor for worse OS.AKIP1 presents with the potential to be a novel biomarker for tumor management and prognosis surveillance in glioma patients.Background Maternal and perinatal Health Research collaboration, India (MaatHRI) is a research platform that aims to improve evidence-based pregnancy care and outcomes for mothers and babies in India, a country with the second highest burden of maternal and perinatal deaths. The objective of this paper is to describe the methods used to establish and standardise the platform and the results of the process. Methods MaatHRI is a hospital-based collaborative research platform. It is adapted from the UK Obstetric Surveillance System (UKOSS) and built on a pilot model (IndOSS-Assam), which has been extensively standardised using the following methods (i) establishing a network of hospitals; (ii) setting up a secure system for data collection, storage and transfer; (iii) developing a standardised laboratory infrastructure; and (iv) developing and implementing regulatory systems. Results MaatHRI was established in September 2018. Fourteen hospitals participate across four states in India - Assam, Meghalaya, Uttar Pradesh and Maharashtra. WNK463 The research team includes 20 nurses, a project manager, 16 obstetricians, two pathologists, a public health specialist, a general physician and a paediatrician. MaatHRI has advanced standardisation of data and laboratory parameters, real-time monitoring of data and participant safety, and secure transfer of data. Four observational epidemiological studies are presently being undertaken through the platform. MaatHRI has enabled bi-directional capacity building. It is overseen by a steering committee and a data safety and monitoring board, a process that is not normally used, but was found to be highly effective in ensuring data safety and equitable partnerships in the context of low and middle income countries (LMICs). Conclusion MaatHRI is the first prototype of UKOSS and other similar platforms in a LMIC setting. The model is built on existing methods but applies new standardisation processes to develop a collaborative research platform that can be replicated in other LMICs.Deep sequencing of the full-length hepatitis B virus (HBV) genome provides the opportunity to determine the extent to which viral diversity, genotype, polymorphisms, insertions and deletions may influence presentation and outcomes of disease. Increasing experience with analysis of HBV genomic data opens up the potential for using these data to inform insights into pathophysiology of infection and to underpin decision making in clinical practice. We here set out to undertake whole genome HBV sequencing from an adult who presented acutely unwell with a new diagnosis of HBV infection, and tested positive for both HBV anti-core IgM and IgG, possibly representing either acute hepatitis B infection (AHB) or chronic hepatitis B with an acute reactivation (CHB-AR). The distinction between these two scenarios may be important in predicting prognosis and underpinning treatment decisions, but can be challenging based on routine laboratory tests. Through application of deep whole-genome sequencing we typed the isolate as genotype-D1, and identified several minority variants including G1764A and G1986A substitutions in the pre-core promoter and pre-core regions, which support CHB-AR rather than AHB. In the longer term, enhanced deep sequencing data for HBV may provide improved evidence to distinguish between acute and chronic infection, to predict outcomes and to stratify treatment.We present here a novel multi-parametric approach for the characterization of multiple cellular features, using images acquired by high-throughput and high-definition light microscopy. We specifically used this approach for deep and unbiased analysis of the effects of a drug library on five cultured cell lines. The presented method enables the acquisition and analysis of millions of images, of treated and control cells, followed by an automated identification of drugs inducing strong responses, evaluating the median effect concentrations and those cellular properties that are most highly affected by the drug. The tools described here provide standardized quantification of multiple attributes for systems level dissection of complex functions in normal and diseased cells, using multiple perturbations. Such analysis of cells, derived from pathological samples, may help in the diagnosis and follow-up of treatment in patients.

This study explored antiepileptic drug use, frequency of seizures, and the effect of psychotropic drugs with the potential to lower the seizure threshold in persons diagnosed with epilepsy and intellectual disability.

Data for this study were drawn from Wave 3 of the Intellectual Disability Supplement to the Irish Longitudinal Study on Ageing (IDS-TILDA). Psychotropic drugs were categorised for potential seizure threshold-lowering risk (low, moderate, high). Binary logistic regression was performed to identify factors associated with seizure frequency.

Epilepsy prevalence was 35.8% (n=196), of which 57.7% reported a mental health condition. Participants with seizure data classified as taking at least one moderate-/high-risk medication were significantly less likely to experience a seizure compared to participants taking no potential seizure threshold-lowering medication.

Psychotropic drugs recommended to be avoided or used with caution did not provoke increased seizure frequency in this cohort.

Psychotropic drugs recommended to be avoided or used with caution did not provoke increased seizure frequency in this cohort.

The goal was to conduct exploratory analysis to determine if executive functions (EFs) and food responsiveness/satiety responsiveness (appetitive behaviours that describe one's tendency to eat in the presence of food or food cues) interact to influence weight status among preschool children participating in a trial promoting self-regulation around energy-dense foods.

At baseline, parents completed the Behaviour Rating Inventory of Executive Function-Preschool and the Child Eating Behaviour Questionnaire. Children completed anthropometric measurements at the preschool. Spearman's correlation, linear regression, and tests of interaction were conducted. The relationship between weight status and EFs among those who were high vs low in food responsiveness and satiety responsiveness was examined.

Children (n = 92) had a mean age of 5.1 years and body mass index (BMI) percentile of 57.6; half (54%) were male. There were significant correlations between food responsiveness and several EFs (emotional control, iated with direct measures of executive function and appetitive behaviours in larger samples of young children to examine longitudinal impact on weight status.Glyphosate is the leading herbicide worldwide, but it also affects prokaryotes because it targets the central enzyme (5-enolpyruvylshikimate-3-phosphate, EPSP) of the shikimate pathway in the synthesis of the three essential aromatic amino acids in bacteria, fungi and plants. Our results reveal that bacteria may easily become resistant to glyphosate through changes in the 5-enolpyruvylshikimate-3-phosphate synthase active site. This indicates the importance of examining how glyphosate affects microbe-mediated ecosystem functions and human microbiomes.

To evaluate domestic violence and sexual dysfunction in infertile women.

We recruited women complaining of infertility (primary or secondary infertility). A control group of fertile women attending the outpatient clinic for any concern was recruited. Domestic violence was evaluated using the Arabic validated NorVold Domestic Abuse Questionnaire (NORAQ). Female sexual function was evaluated using the Arabic validated female sexual function index.

There was no significant difference between both groups in rates of exposure to violence (p-value 0.830). Primary infertility was a significant contributing factor in infertile women's exposure to violence (p-value 0.001). All the studied population had female sexual dysfunction, with more dysfunction was reported by the infertile women (total score 18.87 ± 5.92, 19.51 ± 5.42, p-value 0.072). They differed significantly in arousal (2.83 ± 1.33, 3.13 ± 1.29, p-value 0.001) and satisfaction (3.98 ± 1.27, 4.28 ± 1.28, p-value 0.003) which were impaired in infertile women.

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