Investigating the correlation between polyunsaturated fatty acids intake and non-invasive biomarkers of liver fibrosis.

BACKGROUND: Polyunsaturated fatty acids (PUFAs) have potentially beneficial effects on the liver tissue. Noninvasive biomarkers, including imaging techniques and blood-based biomarkers, are important tools for assessing liver fibrosis. This study aims to investigate the relationship between dietary intake of PUFAs and noninvasive biomarkers for liver fibrosis in the general population. METHODS: The National Health and Nutrition Examination Survey 2017-2018 (NHANES 2017-2018) datasets were used. Fibrosis-4 index (FIB-4), FIB-8, and Fatty Liver Index (FLI) were calculated for each subject. The fibrosis groups were compared based on their intake of PUFA. The correlation between each score and PUFA intake was calculated. Correlation analysis was performed. RESULTS: A total of 5087 subjects (50.36% female) with a mean age of 49.37 ± 12.14 were evaluated. The mean of median liver stiffness measurement (LSM) was 5.92 ± 5.20 kPa (kPa). The mean PUFA intake was reported as 20.2 ± 13.9 gm. Fibrosis (F) grouping revealed that 190 subjects had F3, and 154 F4. HDL had a significant correlation with Docosapentaenoic acid (DPA) intake (r = -0.038, p = 0.007). Moreover, AST and ALT had a significant correlation with Docosahexaenoic acid (DHA) intake (r = 0.033 and 0.059, p = 0.019 and < 0.001, respectively). FIB-4 and FIB-8 had no correlation with PUFA intake. FLI had a significant correlation with DPA acid (r = 0.062, p < 0.001). CONCLUSION: A significant correlation between FLI, and PUFA intake suggests that increasing PUFA consumption could have a positive impact on liver health.

Predicting the conversion from clinically isolated syndrome to multiple sclerosis: An explainable machine learning approach.

INTRODUCTION: Predicting the conversion of clinically isolated syndrome (CIS) to clinically definite multiple sclerosis (CDMS) is critical to personalizing treatment planning and benefits for patients. The aim of this study is to develop an explainable machine learning (ML) model for predicting this conversion based on demographic, clinical, and imaging data. METHOD: The ML model, Extreme Gradient Boosting (XGBoost), was employed on the public dataset of 273 Mexican mestizo CIS patients with 10-year follow-up. The data was divided into a training set for cross-validation and feature selection, and a holdout test set for final testing. Feature importance was determined using the SHapley Additive Explanations library (SHAP). Then, two experiments were conducted to optimize the model's performance by selectively adding variables and selecting the most contributive variables for the final model. RESULTS: Nine variables including age, gender, schooling, motor symptoms, infratentorial and periventricular lesion at imaging, oligoclonal band in cerebrospinal fluid, lesion and symptoms types were significant. The model achieved an accuracy of 83.6 %, AUC of 91.8 %, sensitivity of 83.9 %, and specificity of 83.4 % in cross-validation. In the final testing, the model achieved an accuracy of 78.3 %, AUC of 85.8 %, sensitivity of 75 %, and specificity of 81.1 %. Finally, a web-based demo of the model was created for testing purposes. CONCLUSION: The model, focusing on feature selection and interpretability, effectively stratifies risk for treatment decisions and disability prevention in MS patients. It provides a numerical risk estimate for CDMS conversion, enhancing transparency in clinical decision-making and aiding in patient care.

Targeting SIRT1 by Scopoletin to Inhibit XBB.1.5 COVID-19 Life Cycle.

Natural products have historically driven pharmaceutical discovery, but their reliance has diminished with synthetic drugs. Approximately 35% of medicines originate from natural products. Scopoletin, a natural coumarin compound found in herbs, exhibits antioxidant, hepatoprotective, antiviral, and antimicrobial properties through diverse intracellular signaling mechanisms. Furthermore, it also enhances the activity of antioxidants. Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) causes viral pneumonia through cytokine storms and systemic inflammation. Cellular autophagy pathways play a role in coronavirus replication and inflammation. The Silent Information Regulator 1 (SIRT1) pathway, linked to autophagy, protects cells via FOXO3, inhibits apoptosis, and modulates SIRT1 in type-II epithelial cells. SIRT1 activation by adenosine monophosphate-activated protein kinase (AMPK) and mammalian target of rapamycin (mTOR) enhances the autophagy cascade. This pathway holds therapeutic potential for alveolar and pulmonary diseases and is crucial in lung inflammation. Angiotensin-converting enzyme 2 (ACE-2) activation, inhibited by reduced expression, prevents COVID-19 virus entry into type-II epithelial cells. The coronavirus disease 2019 (COVID-19) virus binds ACE-2 to enter into the host cells, and XBB.1.5 COVID-19 displays high ACE-2-binding affinity. ACE-2 expression in pneumocytes is regulated by signal transducers and activators of transcription-3 (STAT3), which can increase COVID-19 virus replication. SIRT1 regulates STAT3, and the SIRT1/STAT3 pathway is involved in lung diseases. Therapeutic regulation of SIRT1 protects the lungs from inflammation caused by viral-mediated oxidative stress. Scopoletin, as a modulator of the SIRT1 cascade, can regulate autophagy and inhibit the entry and life cycle of XBB.1.5 COVID-19 in host cells.

Congenital Heart Defects in Pregnancies Conceived by Assisted Reproductive Technology: Comparing Functional and Structural Defects.

Introduction Congenital heart defects (CHD) are one of the most common congenital anomalies, and their association with assisted reproductive technology (ART) is controversial in different populations. The purpose of this study was to evaluate this association and to provide information about the necessity of specialized echocardiography during pregnancy with ART. Methods This retrospective study was performed on all pregnancies conceived by ART and referred for fetal echocardiography to the Rasoul Akram and Akbar Abadi hospitals in Tehran, Iran. A total of 109 patients were enrolled in the study (56 in the ART group and 53 in the non-ART). Two-dimensional and color Doppler echocardiography were performed on all patients to identify heart problems and anomalies and medical records of the patients were reviewed. The outcome was considered the presence of functional and structural heart defects on echocardiography. Results The study groups were similar in terms of maternal age and GA. The ART group consisted of 31 singletons (55%) and 25 multiples (45%). All pregnancies in the non-ART group were singletons. Following in vitro fertilization (33%), ovulation induction (25%) was the next most used method. The findings of echocardiography were one atrial septal defect (ASD) in ART and one in non-ART, six ventricular septal defects (VSD) in ART and three in non-ART, and one ASD and VSD in the ART group. These structural abnormalities showed no difference in the two groups (P value = 0.58). There was no significant difference in rhythm between the two groups (P = 0.51). Echocardiographic indices of both groups did not differ statistically except in the TR-PG index (P value = 0.02). Conclusions The structural defects of the two groups were not different, and no heart dysfunction was observed in ART fetuses. There was no association between ART and CHD in our study. We concluded that echocardiography by pediatric cardiologists is not necessary for these fetuses.

Understanding the Role of Galectin-1 in Heart Failure: A Comprehensive Narrative Review.

Heart failure (HF) is the fastest-growing cardiovascular condition worldwide. The immune system may play a role in the development of HF since this condition is associated with elevated pro-inflammatory cytokine levels. HF is a life-threatening disease, and there is an increasing demand for diagnostic biomarkers, prognostic factors, and therapeutic agents that can help treat it. Galectin-1 (Gal-1) is the prototype galectin of the lectin family. Multiple signal transduction pathways are regulated by Ras proteins, which act as a molecular switch in cells. Gal-1 regulates T and B cell activation, differentiation, and survival. Gal-1 has been linked to inflammation. Activated T cells produce Gal-1 through an autocrine apoptotic mechanism involving MEK1/ERK and p38 MAPK. In the cardiovascular system, atherosclerosis is facilitated by Gal-1. Heart disease, myocardial infarction, hypertension, and stroke can be caused by atherosclerotic plaque. HF and heart hypertrophy are caused by decreased cardiac L-type Ca2+ channel activity. Deregulation of Gal-1 and CaV1.2 in pathological cardiac hypertrophy suggests a possible target for anti-hypertrophic therapy. Rat hypertrophic cardiomyocytes express Gal-1 and CaV1.2 channels simultaneously. It has been reported that diastolic dysfunction (DD) is associated with elevated Gal-1 levels. The high Gal-1 level in subjects led to the lowest cumulative survival as a composite endpoint. Incidences of HF, DD, and serum Gal-1 levels correlated significantly. The ejection fraction was negatively correlated with Gal-1 and CRP concentrations. Based on two different approaches in mice and humans, Gal-1 was identified as a potential mediator of HF.

Social Network Sites as Educational Factors.

BACKGROUND: in this present era, the technology development has established certain type of communication. Nowadays education as the fundamental principle in transferring cognition to the learners has found various methods. Recently the concept that social networks could be effective tool in easing the achievement to the educational goals has been under attention. Therefore, this investigation is trying to find out whether, the social networks could play role on the process of education among students? MATERIALS AND METHODS: This cross sectional descriptive study was performed on 1000 students from 7 medical universities in 2015. The data collection tool was questionnaire that was approved Cronbach's alpha: was 0.85. Meanwhile its validity was confirmed too. The obtained data were analyzed by the descriptive statistic, ANOVA, Turkey and used X(2) SPSS-19. RESULTS: In this investigation, 940 subjects were under study. 85% used daily the social network. The highest usage was attributed to the Telegram. 52% preferred image suitable for transferring of information. Even though, 73% believed that these networks have significant effects on coordinating of students with in university charges. CONCLUSION: Considering the findings of the present study, it is proposed that the universities integrate the social networks in the education programs and recognize it as the awareness factor, therefore benefit it in the educational affairs.