Childhood asthma represents a heterogeneous disease resulting from the interaction between genetic factors and environmental exposures. Currently, finding reliable biomarkers is necessary for the clinical management of childhood asthma. However, only a few biomarkers are being used in clinical practice in the pediatric population. In the long run, new biomarkers for asthma in children are required and would help direct therapy approaches. This study aims to identify potential childhood asthma biomarkers using a genetic-driven biomarkers approach. Herein, childhood asthma-associated Single Nucleotide Polymorphisms (SNPs) were utilized from the GWAS database to drive and facilitate the biomarker of childhood asthma. We uncovered 466 childhood asthma-associated loci by extending to proximal SNPs based on r2 > 0.8 in Asian populations and utilizing HaploReg version 4.1 to determine 393 childhood asthma risk genes. Next, the functional roles of these genes were subsequently investigated using Gene Ontology (GO) term enrichment analysis, a Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, and a protein–protein interaction (PPI) network. MCODE and CytoHubba are two Cytoscape plugins utilized to find biomarker genes from functional networks created using childhood asthma risk genes. Intriguingly, 10 hub genes (IL6, IL4, IL2, IL13, PTPRC, IL5, IL33, TBX21, IL2RA, and STAT6) were successfully identified and may have been identified to play a potential role in the pathogenesis of childhood asthma. Among 10 hub genes, we strongly suggest IL6 and IL4 as prospective childhood asthma biomarkers since both of these biomarkers achieved a high systemic score in Cytohubba’s MCC algorithm. In summary, this study offers a valuable genetic-driven biomarker approach to facilitate the potential biomarkers for asthma in children.
Introduction: Many dengue hemorrhagic fever (DHF) cases tend to increase from year to year. This study aims to determine DHF patients’ characteristics and determine their relationship with the prevalence of Dengue Shock Syndrome (DSS) throughout children.
Introduction: Low birth weight (LBW) infants indicate infant morbidity and infant mortality rates. In Indonesia, the infant mortality rate is still very high, with 32 deaths per 1 000 live births. The purpose of this study is to prove a relationship between maternal age and parity with LBW infants.
Persistent pulmonary hypertension of the newborn (PPHN) is a condition that occurs due to increased resistance to blood vessels in the lungs that occur persistently after the baby is born. This can be attributed to congenital heart disease such as right-to-left shunts through foramen ovale (PFO) or patent ductus arteriosus (PDA) due to an error transition fetal blood circulation to the neonate. Although PPHN is always associated with births in post-term babies, PPHN cases are often found in preterm babies. Chances of babies born with PPHN are quite large, at 1.9% per 1000 live births. PPHN can be fatal, causing mortality rates ranging from 4 to 33%. The incidence of preterm births in Indonesia is estimated at 7-14%, around 459,200 - 900,000 babies per year. This study aimed to prove the relationship between premature babies and persistent pulmonary hypertension of the newborn (pphn) in Sidoarjo Regional Hospital and to know the characteristics and analyze these variables. This research used crossed sectional studied design; the population was all preterm babies in the NICU at Sidoarjo regional hospital. All samples are from medical records in January-December 2018. There is a significant difference between preterm babies and PPHN (p < 0.05); besides, the results from Spearman's correlation analysis obtained a correlation coefficient (ρ) = 0.485. In the cross-tabulation analysis, the result of the proportion with the highest correlation was Late Preterm babies with severe PPHN of 46.7%. It can be concluded that there is a relationship between premature babies and PPHN in Sidoarjo regional hospital..Keywords : Persistent pulmonary hypertension of the newborn, PPHN, Preterm BabiesCorrespondence : aisyahhelmadevithalib@gmail.com
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