Clinico-demographic and biochemical correlation of inflammatory gene expression in pediatric nephrotic syndrome.

التفاصيل البيبلوغرافية
العنوان:	Clinico-demographic and biochemical correlation of inflammatory gene expression in pediatric nephrotic syndrome.
المؤلفون:	Venkatachalapathy Y; Faculty of Biomedical Sciences, Sri Ramachandra Institute of Higher Education and Research, Chennai, India., Suresh PKK; Faculty of Biomedical Sciences, Sri Ramachandra Institute of Higher Education and Research, Chennai, India., Balraj TH; Department of Biochemistry, Ethiraj College for Women, Affiliated to University of Madras, Chennai, India., Venkatesan V; Department of Human Genetics, Sri Ramachandra Institute of Higher Education and Research, Chennai, India., Geminiganesan S; Department of Paediatric Medicine, Sri Ramachandra Institute of Higher Education and Research, Chennai, India., C D MP; Department of Human Genetics, Sri Ramachandra Institute of Higher Education and Research, Chennai, India. mohanapriya@sriramachandra.edu.in.
المصدر:	Molecular biology reports [Mol Biol Rep] 2024 Jul 26; Vol. 51 (1), pp. 854. Date of Electronic Publication: 2024 Jul 26.
نوع المنشور:	Journal Article
اللغة:	English
بيانات الدورية:	Publisher: Reidel Country of Publication: Netherlands NLM ID: 0403234 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-4978 (Electronic) Linking ISSN: 03014851 NLM ISO Abbreviation: Mol Biol Rep Subsets: MEDLINE
أسماء مطبوعة:	Original Publication: Dordrecht, Boston, Reidel.
مواضيع طبية MeSH:	Nephrotic Syndrome/genetics , Cytokines/genetics , Cytokines/metabolism , Biomarkers, Humans ; Child ; Male ; Female ; Child, Preschool ; Inflammation/genetics ; Adolescent ; Gene Expression/genetics ; Gene Expression Regulation ; Gene Expression Profiling/methods
مستخلص:	Background: Nephrotic syndrome (NS) is a common kidney disease in children. While Steroid-Sensitive Nephrotic Syndrome (SSNS) is frequently observed, Steroid-Resistant Nephrotic Syndrome (SRNS) has a poor prognosis and often leads to chronic kidney disease. The pathogenesis of SRNS is complex, with immunological modulation of T helper subtypes 1 and 2 cytokines increasing susceptibility to the disease. Currently, no established biomarkers can accurately predict SRNS. However, a group of cytokines might serve as potential indicators of responsiveness, aiding in the identification of patients with SRNS. The discovery of these cytokines as novel biomarkers for early diagnosis could greatly benefit patients. This includes preventing the adverse effects of glucocorticoid treatment and enabling a timely transition to more effective therapeutic alternatives. Methods: This study aims to investigate the association between the gene expression patterns of cytokines, including IL-2, IL-4, IL-5, IL-6, IL-9, IL-10, IL-13, IL-17A, NF-κB, and TNFα, in healthy participants (n = 100), SSNS patients (n = 100), and SRNS patients (n = 100). Using qRT-PCR, followed by Receiver-operating characteristic analysis, the study assesses their potential as biomarkers. Additionally, clinicodemographic data were analyzed, and bioinformatic analyses such as coexpression analysis, gene enrichment, pathway analysis, and Cytoscape were performed to enhance our understanding of the inflammatory cascade initiating podocyte injury in NS. Results: The results of our study suggest that specific candidate genes, including IL-2, IL-5, IL-6, IL-9, IL-17A, IL-10, IL-13, and TNFα, exhibit upregulation and hold significant importance, with an Area Under the Curve value of 0.9. Conclusion: These genes have the potential to serve as valuable prognostic and management tools for NS, forming a promising panel of inflammatory gene biomarkers. Furthermore, conducting an extensive analysis that integrates cytokine genes with their respective targeted microRNAs could offer deeper insights into the pathogenesis of the disease. (© 2024. The Author(s), under exclusive licence to Springer Nature B.V.)
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فهرسة مساهمة:	Keywords: Bioinformatics; Biomarkers; Cytokines; Gene expression; Nephrotic syndrome
المشرفين على المادة:	0 (Cytokines) 0 (Biomarkers)
تواريخ الأحداث:	Date Created: 20240726 Date Completed: 20240727 Latest Revision: 20240727
رمز التحديث:	20240728
DOI:	10.1007/s11033-024-09784-z
PMID:	39060482
قاعدة البيانات:	MEDLINE

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تدمد:	1573-4978
DOI:	10.1007/s11033-024-09784-z