Immunology and Genetics Journal

Impact of Herbal Medicine and Probiotics in Pediatric Asthma

2025-01-20T09:13:14+00:00

Asthma, a prevalent chronic condition in children, poses significant challenges in management. While conventional treatments like inhaled corticosteroids and beta-agonists are standard, there is increasing interest in the role of herbal medicine and probiotics as complementary therapies. This paper reviews the impact of herbal remedies—such as Butterbur, Ginger, Turmeric, Boswellia, Licorice, and Ephedra—and probiotics on pediatric asthma. Evidence suggests these therapies may reduce inflammation and improve respiratory function, potentially benefiting asthma management. However, variability in product quality and study designs necessitates further research. Future studies should focus on validating these interventions through rigorous clinical trials to better integrate herbal medicine and probiotics into comprehensive asthma care for children.

Beyond Genes: The Social Dimensions of Inborn Errors of Immunity

2025-01-20T16:09:55+00:00

nborn errors of immunity (IEIs) necessitate a well-funded healthcare system and substantial financial resources for diagnosis and treatment. More than that, these diseases and socioeconomic status are inversely related. Immune deficiencies are better managed by those with higher socioeconomic position, but the emotional and financial tolls of living with a compromised immune system can be devastating for patients and their families, causing them to struggle financially for years to come. For a long time, the patient and people close to her are impacted by these conditions. Conversely, the national healthcare system and patients' socioeconomic situation determine the likelihood of early diagnosis and successful treatment. Development of the immune system throughout infancy is really crucial. Fetal development is regulated by maternal nutrition, psychological stress, the mother's mental health, and supporting social networks. The immune system develops from conception and matures during neonatal and early childhood. Effective IEI management and therapy require genetic and social factors to interact. Geneticists, immunologists, healthcare providers, and politicians must collaborate to address IEIs. Insufficient resources for complete newborn screening and genetic testing for all patients make treating the increased incidence of autosomal recessive and genetic diseases in MENA problematic. Primary immunodeficiency treatments including stem cell transplantation and gene therapy are limited in Latin America and Africa. Parental comprehension, awareness, and attitudes of PID genetic testing depend on service accessibility, familial history, and individual circumstances. Patients resist genetic therapy due to financial constraints, notably the high cost of genetic testing. Hematopoietic stem cell transplantation (HSCT) may treat nonmalignant lymphohematopoietic diseases, myeloid and lymphoid malignancies, immunological deficits, genetic disorders, and inborn metabolic problems. Improving PID outcomes requires correcting these discrepancies. This review aims to underscore the critical need for heightened awareness and improved diagnostic methods for IEIs by analyzing the interplay between genetic factors and societal influences.

Neonatal Cholestasis: Definition, Clinical Manifestations and Management; A Mini Review

2025-01-20T09:14:23+00:00

Physiological jaundice of the newborn is a complex benign disease that rarely persists in the second week of life. Neonatal cholestasis (NC) is caused by a disorder in the formation of bile by liver cells or obstruction of the flow of bile through the intrahepatic or extrahepatic biliary tree, which leads to the accumulation of bile substances in the liver, blood, and extrahepatic tissues. This state may continue until the first six months of infancy, and its vulnerability to other cholestatic agents increases. This fact makes NC an uncommon feature of neonatal liver disease rather than a late manifestation. The aim of this paper is to review the definitions, etiologies, clinical manifestations, treatment, and management strategies for NC infants.

A New Approach to COVID-19 Detection Using Alexnet From Chest CT Images

2025-01-20T09:14:45+00:00

Background: At the beginning of 2020, the pneumonia-like COVID-19 virus spread rapidly worldwide. With the emergence of this dangerous virus, work, and daily life have become very difficult. To control this virus, all the centers are closed and quarantined by the government and the countries of the world. Every day, many people from all over the world die due to COVID-19. Many efforts are being made in all fields to diagnose and treat people infected with this virus. For this reason, many researchers started working on identifying this virus and its types. The Scientifics, in computer science, did not sit idle either. Method: In some studies, different image processing methods and algorithms have been used to extract the edge features of the Computed Tomography (CT) images of the lung. In this clinical-computerized study, lung CT images of non-infected and infected people from different hospitals in Lorestan province were used. This collection has 90 stereotypes of images in jpg format of CT scans of people's lungs, each file has more than 200 images from different angles of lung imaging. The preprocessing methods were the first step of the research. In the second phase, edge detection was applied to the dataset to get the highest accuracy rate. Consequently, a classification Convolutional Neural Network (CNN)-AlexNet architecture was used to reach the final aim. Results: The results show that the average accuracy rate of image edge extraction with a threshold value of 0.1 is 93% and the accuracy rate of AlexNet architecture classification is 100%. The proposed method helps physicians to improve disease diagnosis from lung CT images to achieve a more accurate detection rate. Conclusion: This study shows that the CNN-AlexNet architecture effectively increases the diagnosis accuracy rate than the other methods. It is suggested that educational programs for researchers in the field of disease detection from radiology images be provided and that the effectiveness of different types of deep learning methods be compared in future studies.

Error in Reporting a Case of NF-κB2 Deficiency

2025-01-20T09:15:13+00:00

The Article Abstract is not available.