The immune cells profiles of individuals with sulfur mustard-induced serious long-term respiratory complications.

Sulfur mustard (SM) induced pulmonary disorder is a heterogeneous disease characterized by uncontrolled inflammatory immune responses. In this cross-sectional study carried out in Isfahan-Iran, our objective was to thoroughly evaluate the clinical health and peripheral blood leukocyte profiles of adult veterans exposed to SM 25-30 years. In total, 361 people were studied in two groups, 287 chemical veterans with pulmonary complications and 64 healthy individuals as a control group.

The safety and efficacy of stem cell therapy for diabetic peripheral neuropathy in animal studies: A systematic review and meta-analysis.

Diabetic peripheral neuropathy (DPN) is the most common form of diabetic neuropathy, representing 75% of cases and posing a substantial public health challenge. Emerging evidence from animal studies indicates that stem cell therapy holds significant promise as a potential treatment for diabetic neuropathy. Nevertheless, a comprehensive evaluation of the safety and efficacy of stem cell therapy for DPN in animal studies remains outstanding.

Distinct inflammatory profiles in mustard lung: A study of sulfur mustard-exposed patients with serious pulmonary complications.

Mustard Lung (ML) refers to respiratory complications caused by sulfur mustard (SM) exposure, a chemical warfare agent. This study explores the inflammatory profile of SM-exposed veterans with serious ML, aiming to distinguish it from other respiratory diseases. The aim is also to comprehend the role of inflammatory markers in disease severity.

Effectiveness of interventions for preventing road traffic injuries: A systematic review in low-, middle- and high-income countries.

Background: Road traffic collisions (RTCs) are the primary cause of death, which usually occur during the most crucial years of life, resulting in significant damage to health, society, and the economy. A wide variety of strategies and policies have been implemented around the world to minimize injuries and fatalities resulting from RTCs. This study aimed to systematically evaluate the effectiveness of interventions to reduce road traffic injuries (RTIs) in low-, middle-, and high-income countries.

30- and 90-Day Readmission Rates Following Traumatic Spinal Cord Injury: A Systematic Review and Meta-Analyses.

Study Design: Systematic Review and Meta-Analyses.

Objective: To assess the 30- and 90-day readmission rates after a traumatic spinal cord injury (SCI).

Methods: A systematic search of MEDLINE and Embase was performed.

Determining the sensitivity and specificity of the calculated fatty liver index in comparison with ultrasound.

Background: Non-alcoholic fatty liver disease (NAFLD) is a common chronic liver disease in human history and it is expected to surpass other causes of liver disease mortality by 2030. Therefore, finding an alternative way to diagnose steatosis in the early stage when imaging modalities are not available is crucial. This study decided to validate the optimal cut-off points and the sensitivity and specificity of the Fatty Liver Index (FLI) based on the Iranian population compared to ultrasonography.

Investigation the effect of Acceptance and Commitment Therapy (ACT) training on stigma and family functioning in family members of patients with psychiatric disorders: a randomized controlled clinical trial.

Background: Regarding the prevalence and pervasiveness of psychiatric disorders, which significantly affect not only the patients themselves, but also their families, family therapy has emerged as a promising intervention. This research examined the effects of Acceptance and Commitment Therapy (ACT) on stigma and family functioning in family members of patients with psychiatric illnesses, demonstrating effectiveness in improving family functioning and coping strategies in the face of mental illness.

Methods: This randomized controlled clinical trial without blinding.

Association between rs2070788 polymorphism and COVID-19 severity: a case-control study in multiple cities of Iran.

Introduction: Host genetic variations have been identified as potential influencers of COVID-19 infection. This study aimed to examine the association between transmembrane serine protease type 2 () rs2070788 single nucleotide polymorphism (SNP) and the prognosis of COVID-19 in Iranian populations.

Method: This case-control study was performed on 756 COVID-19 patients and 59 healthy individuals across Iran.

The Effect of an Educational Intervention on Breast Cancer Screening of Rural Women: Application of the Theory of Planned Behavior.

Background: Early diagnosis of breast cancer is a key factor affecting patient survival, so screening can reduce the burden of this disease. The present study aimed to investigate the effect of education based on the theory of planned behavior (TPB) on breast cancer screening in rural women.

Methods: In this quasi-experimental study, 480 women referring to the health care centers in the cities of Fasa and Shiraz were divided into two groups, intervention (n = 240) and control (n = 240), using cluster random sampling method, in 2021-2022.

Navigating challenges in spine surgery in Nigeria: the current state and strategies for advancing spine care.

The provision of specialized spine care in Nigeria presents a pressing challenge amid limited resources and geographical disparities. This correspondence offers a comprehensive roadmap for improving spine surgery and care within the country. We examine the current state of spinal health infrastructure, highlighting barriers such as limited access to specialists and facilities, particularly in rural areas, and financial constraints for patients.

Development of a novel Colorimetric Assay for the rapid diagnosis of Coronavirus disease 2019 from nasopharyngeal samples.

Emergence of Coronavirus disease 2019 (COVID-19) pandemic has posed a huge threat to public health. Rapid and reliable test to diagnose infected subjects is crucial for disease spread control. We developed a colorimetric test for COVID-19 detection using a Colorimetric Assay based on thiol-linked RNA modified gold nanoparticles (AuNPs) and oligonucleotide probes.

miR-939, as an important regulator in various cancers pathogenesis, has diagnostic, prognostic, and therapeutic values: a review.

Background: MicroRNAs (miRNAs or miRs) are highly conserved non-coding RNAs with a short length (18-24 nucleotides) that directly bind to a complementary sequence within 3'-untranslated regions of their target mRNAs and regulate gene expression, post-transcriptionally. They play crucial roles in diverse biological processes, including cell proliferation, apoptosis, and differentiation. In the context of cancer, miRNAs are key regulators of growth, angiogenesis, metastasis, and drug resistance.

Association between dietary total antioxidant capacity and the risk of stroke: a nested case-control study.

Background: Oxidative stress after ischemic stroke contribute to neuronal cell injury. Unhealthy and unbalanced dietary patterns can increase the risk of several diseases, including stroke and cardiometabolic ones. However, the association between dietary total antioxidant capacity (DTAC) of antioxidant and stroke is controversial.

Machine learning-based models to predict the conversion of normal blood pressure to hypertension within 5-year follow-up.

Background: Factors contributing to the development of hypertension exhibit significant variations across countries and regions. Our objective was to predict individuals at risk of developing hypertension within a 5-year period in a rural Middle Eastern area.

Methods: This longitudinal study utilized data from the Fasa Adults Cohort Study (FACS).

Machine-learning algorithms in screening for type 2 diabetes mellitus: Data from Fasa Adults Cohort Study.

Introduction: The application of machine learning (ML) is increasingly growing in biomedical sciences. This study aimed to evaluate factors associated with type 2 diabetes mellitus (T2DM) and compare the performance of ML methods in identifying individuals with the disease in an Iranian setting.

Methods: Using the baseline data from Fasa Adult Cohort Study (FACS) and in a sex-stratified manner, we studied factors associated with T2DM by applying seven different ML methods including Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF), K-Nearest Neighbours (KNN), Gradient Boosting Machine (GBM), Extreme Gradient Boosting (XGB) and Bagging classifier (BAG).

Predicting the risk of mortality and rehospitalization in heart failure patients: A retrospective cohort study by machine learning approach.

Background: Heart failure (HF) is a global problem, affecting more than 26 million people worldwide. This study evaluated the performance of 10 machine learning (ML) algorithms and chose the best algorithm to predict mortality and readmission of HF patients by using The Fasa Registry on Systolic HF (FaRSH) database.

Hypothesis: ML algorithms may better identify patients at increased risk of HF readmission or death with demographic and clinical data.

Enhancement of bactericidal effects of bacteriophage and gentamicin combination regimen against Staphylococcus aureus and Pseudomonas aeruginosa strains in a mice diabetic wound model.

Diabetic patients are more susceptible to developing wound infections resulting in poor and delayed wound healing. Bacteriophages, the viruses that target-specific bacteria, can be used as an alternative to antibiotics to eliminate drug-resistant bacterial infections. Pseudomonas aeruginosa (P.

Food co-consumption network as a new approach to dietary pattern in non-alcoholic fatty liver disease.

Dietary patterns strongly correlate with non-alcoholic fatty liver disease (NAFLD), which is a leading cause of chronic liver disease in developed societies. In this study, we introduce a new definition, the co-consumption network (CCN), which depicts the common consumption patterns of food groups through network analysis. We then examine the relationship between dietary patterns and NAFLD by analyzing this network.

Tissue engineering studies in male infertility disorder.

Infertility is an important issue among couples worldwide which is caused by a variety of complex diseases. Male infertility is a problem in 7% of all men. spermatogenesis (IVS) is the experimental approach that has been developed for mimicking seminiferous tubules-like functional structures .

Prediction of Mortality and Morbidity After Severe Traumatic Brain Injury: A Comparison Between Rotterdam and Richmond Computed Tomography Scan Scoring System.

Objective: Accurate prediction of the morbidity and mortality outcomes of traumatic brain injury patients is still challenging. In the present study, we aimed to compare the predictive value of the Richmond and Rotterdam scoring systems as two novel computed tomography-based predictive models.

Methods: We retrospectively analyzed 1400 subjects who suffered from severe traumatic brain injury and were admitted to Emtiaz Hospital, a tertiary referral trauma center in Shiraz, south of Iran, from January 2018 to December 2019.