RESUMEN
Objective: The purpose of this systematic review and meta-analysis was to determine whether there is a connection between polycystic ovarian syndrome (PCOS)-affected women's levels of the anti-Mullerian hormone (AMH) and certain cardiometabolic indicators. Materials and Methods: To find pertinent recent research published between 2017 and 2023, a thorough search was done in PubMed. Studies were included if they looked into the relationship between PCOS-related women's AMH levels and cardiometabolic markers. To determine pooled effect estimates, data from the included studies were examined using random-effects models. Results: Five papers were included in the meta-analysis since they satisfied the inclusion requirements. The meta-analysis found substantial positive relationships between AMH levels and markers of insulin resistance, fasting blood sugar levels, and dyslipidemia measures such as total cholesterol (SMD: 0.68, 95% confidence interval: 0.34-1.00, P < 0.001). Conclusion: This systematic review and meta-analysis show that AMH levels in PCOS-affected women significantly positively correlate with markers of insulin resistance, fasting glucose levels, and dyslipidemia parameters. These findings imply that the pathogenesis of the cardiometabolic abnormalities seen in PCOS may include AMH. AMH may be used as a biomarker to estimate the cardiometabolic risk in PCOS-affected women, but more studies are required to determine its clinical applicability.
RESUMEN
Objective: This study sought to determine the relationship between right ventricular (RV) function and clinical variables and prognosis in individuals with acute myocardial infarction (AMI) utilizing strain imaging. Materials and Methods: A prospective observational research involving 150 patients who had been admitted with AMI was carried out. Utilizing two-dimensional speckle-tracking strain imaging, RV function was assessed. Age, sex, risk factors, and comorbidities were recorded as clinical parameters. A 12-month follow-up was conducted to assess major adverse cardiovascular events (MACE). Results: 65% of the study's participants were men, with a mean age of 58.2 years. When compared to a healthy control group, individuals with AMI had significantly lower RV longitudinal strain (RVLS) (P 0.001). RVLS and left ventricular ejection fraction had a statistically significant connection (r = 0.642, P 0.001). Patients with compromised RVLS had a greater rate of MACE over the follow-up period compared to those with maintained RV function (P = 0.014). Conclusion: In conclusion, strain imaging offers useful information for evaluating RV function in patients with AMI. Reduced left ventricular performance and a higher likelihood of unfavorable clinical outcomes are linked to impaired RVLS. Utilizing strain imaging to detect RV dysfunction early can help direct treatment plans and enhance patient outcomes.
RESUMEN
Introduction: Due to shame over discussing menstruation and fear of illness, many adolescent girls with monthly problems never visit their family doctor or gynecologist. The presentation can be delayed as a result. The current study's goal was to assess the sociodemographic characteristics of adolescent females experiencing menstruation issues and the nature of those problems, and how they were handled. Materials and Methods: The problems faced by the adolescent girls attending the Department of Obstetrics and Gynecology were analyzed retrospectively, and all their study characteristics and conditions were evaluated. The descriptive demographics are only represented in the current study. Results: Two hundred-two teenage girls with menstruation issues visited our hospital overall. 64% of them were late adolescents, 96% lived in cities, 89 were unmarried, and 50% belonged to the middle class socioeconomically. Amenorrhea, dysmenorrhea, and irregular menstrual periods affected 86 (61%) people, 38 (27%) people, and 17 (12%) people, respectively. Patients were treated with appropriate counseling and medicinal and/or surgical care. Conclusion: Most of the teenage girls in our study had anemia. Therefore, it is essential to educate people on the importance of nutrition, different menstrual disorders, normal physiology, and the prevention and management of anemia. Adolescent-friendly health care has been attempted and partially developed in India's governmental and private systems. As a result, counseling and management of adolescent menstrual difficulties must be offered in the current health and medical care systems.
RESUMEN
Aim: The aim of the current study was to evaluate the radicular dentin defect during retreatment employed diverse NiTi hand and rotary retreatment file systems. Materials and Methods: Eighty mandibular premolars with a single root and root canal that were recently extracted were gathered and stored. The premolars were subject to decoronation at cementoenamel junction (CEJ) beneath irrigation with water to attain a uniform radicular length of 16 mm. Gutta-percha cones were covered with sealer and introduced into the root canal up to the working length. Eighty teeth were allocated at random into four groups with each group consisting of 20 samples. Group I: Control, Group II: EdgeFile XR retreatment rotary files, Group III: ProTaper Universal retreatment files, and Group IV: MTwo retreatment files. Under constant water cooling, the roots were cut flat with a diamond disc at apical third (3 mm), middle third (6 mm), and cervical third (9 mm) points. Stereomicroscope was employed to visualize the sections below × 20 magnification. Results: A statistically significant difference was noted among the groups with respect to the formation of radicular dentinal defects at 3 mm (P < 0.01) and 6 mm (P < 0.001), while the sections at 9 mm did not exhibit any statistically significant difference (P > 0.598). Conclusion: Despite the limitations in this study, it was concluded that all the evaluated file systems efficiently eliminated root canal filling during the retreatment. In addition, it was noted that the EdgeFile XR group exhibited fewer root dentin defects in comparison with the MTwo and ProTaper Universal group of files.
RESUMEN
Introduction: The integrity of the intestinal epithelium is crucial for human health and is harmed in autism spectrum disorder (ASD). An aberrant gut microbial composition resulting in gut-derived metabolic toxins was found to damage the intestinal epithelium, jeopardizing tissue integrity. These toxins further reach the brain via the gut-brain axis, disrupting the normal function of the brain. A mechanistic understanding of metabolic disturbances in the brain and gut is essential to design effective therapeutics and early intervention to block disease progression. Herein, we present a novel computational framework integrating constraint based tissue specific metabolic (CBM) model and whole-body physiological pharmacokinetics (PBPK) modeling for ASD. Furthermore, the role of gut microbiota, diet, and oxidative stress is analyzed in ASD. Methods: A representative gut model capturing host-bacteria and bacteria-bacteria interaction was developed using CBM techniques and patient data. Simultaneously, a PBPK model of toxin metabolism was assembled, incorporating multi-scale metabolic information. Furthermore, dynamic flux balance analysis was performed to integrate CBM and PBPK. The effectiveness of a probiotic and dietary intervention to improve autism symptoms was tested on the integrated model. Results: The model accurately highlighted critical metabolic pathways of the gut and brain that are associated with ASD. These include central carbon, nucleotide, and vitamin metabolism in the host gut, and mitochondrial energy and amino acid metabolisms in the brain. The proposed dietary intervention revealed that a high-fiber diet is more effective than a western diet in reducing toxins produced inside the gut. The addition of probiotic bacteria Lactobacillus acidophilus, Bifidobacterium longum longum, Akkermansia muciniphila, and Prevotella ruminicola to the diet restores gut microbiota balance, thereby lowering oxidative stress in the gut and brain. Conclusion: The proposed computational framework is novel in its applicability, as demonstrated by the determination of the whole-body distribution of ROS toxins and metabolic association in ASD. In addition, it emphasized the potential for developing novel therapeutic strategies to alleviate autism symptoms. Notably, the presented integrated model validates the importance of combining PBPK modeling with COBRA -specific tissue details for understanding disease pathogenesis.
RESUMEN
MOTIVATION: Reconstruction of genome-scale networks from gene expression data is an actively studied problem. A wide range of methods that differ between the types of interactions they uncover with varying trade-offs between sensitivity and specificity have been proposed. To leverage benefits of multiple such methods, ensemble network methods that combine predictions from resulting networks have been developed, promising results better than or as good as the individual networks. Perhaps owing to the difficulty in obtaining accurate training examples, these ensemble methods hitherto are unsupervised. RESULTS: In this article, we introduce EnGRaiN, the first supervised ensemble learning method to construct gene networks. The supervision for training is provided by small training datasets of true edge connections (positives) and edges known to be absent (negatives) among gene pairs. We demonstrate the effectiveness of EnGRaiN using simulated datasets as well as a curated collection of Arabidopsis thaliana datasets we created from microarray datasets available from public repositories. EnGRaiN shows better results not only in terms of receiver operating characteristic and PR characteristics for both real and simulated datasets compared with unsupervised methods for ensemble network construction, but also generates networks that can be mined for elucidating complex biological interactions. AVAILABILITY AND IMPLEMENTATION: EnGRaiN software and the datasets used in the study are publicly available at the github repository: https://github.com/AluruLab/EnGRaiN. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
