دورية أكاديمية
أعرض في EDS

Autophagy-related molecular clusters identified as indicators for distinguishing active and latent TB infection in pediatric patients.

التفاصيل البيبلوغرافية
العنوان: Autophagy-related molecular clusters identified as indicators for distinguishing active and latent TB infection in pediatric patients.
المؤلفون: Yu Y; Department of Pediatric, Nanjing Lishui People's Hospital, Zhongda Hospital Lishui Branch, Southeast University, Nanjing, China., Hua J; Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China., Chen L; Department of Infectious Diseases, Taikang Xianlin Drum Tower Hospital, Affiliated Hospital of Medical College of Nanjing University, Qixia District, NO 188, Lingshan North Road, Qixia District, Nanjing, 210046, China. Chenliang1995@sina.com.
المصدر: BMC pediatrics [BMC Pediatr] 2024 Jun 19; Vol. 24 (1), pp. 398. Date of Electronic Publication: 2024 Jun 19.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: BioMed Central Country of Publication: England NLM ID: 100967804 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2431 (Electronic) Linking ISSN: 14712431 NLM ISO Abbreviation: BMC Pediatr Subsets: MEDLINE
أسماء مطبوعة: Original Publication: London : BioMed Central, [2001-
مواضيع طبية MeSH: Latent Tuberculosis*/diagnosis , Latent Tuberculosis*/genetics , Autophagy*/genetics, Humans ; Child ; Gene Expression Profiling ; Tuberculosis/genetics ; Tuberculosis/diagnosis ; Diagnosis, Differential ; Biomarkers/metabolism ; Male ; Child, Preschool ; Female
مستخلص: Background: Autophagy is crucial for controlling the manifestation of tuberculosis. This study intends to discover autophagy-related molecular clusters as biomarkers for discriminating between latent tuberculosis (LTBI) and active tuberculosis (ATB) in children through gene expression profile analysis.
Methods: The expression of autophagy modulators was examined in pediatric patients with LTBI and ATB utilizing public datasets from the Gene Expression Omnibus (GEO) collection (GSE39939 and GSE39940).
Results: In a training dataset (GSE39939), patients with LTBI and ATB exhibited the expression of autophagy-related genes connected with their active immune responses. Two molecular clusters associated with autophagy were identified. Compared to Cluster 1, Cluster 2 was distinguished through decreased adaptive cellular immune response and enhanced inflammatory activation, according to single-sample gene set enrichment analysis (ssGSEA). Per the study of gene set variation, Cluster 2's differentially expressed genes (DEGs) played a role in synthesizing transfer RNA, DNA repair and recombination, and primary immunodeficiency. The peak variation efficiency, root mean square error, and area under the curve (AUC) (AUC = 0.950) were all lowered in random forest models. Finally, a seven-gene-dependent random forest profile was created utilizing the CD247, MAN1C1, FAM84B, HSZFP36, SLC16A10, DTX3, and SIRT4 genes, which performed well against the validation dataset GSE139940 (AUC = 0.888). The nomogram calibration and decision curves performed well in identifying ATB from LTBI.
Conclusions: In summary, according to the present investigation, autophagy and the immunopathology of TB might be correlated. Furthermore, this investigation established a compelling prediction expression profile for measuring autophagy subtype development risks, which might be employed as possible biomarkers in children to differentiate ATB from LTBI.
(© 2024. The Author(s).)
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فهرسة مساهمة: Keywords: Active tuberculosis; Autophagy; Children; Latent tuberculosis; Model; Molecular cluster
المشرفين على المادة: 0 (Biomarkers)
تواريخ الأحداث: Date Created: 20240618 Date Completed: 20240619 Latest Revision: 20240621
رمز التحديث: 20240621
مُعرف محوري في PubMed: PMC11186109
DOI: 10.1186/s12887-024-04881-1
PMID: 38890657
قاعدة البيانات: MEDLINE
الوصف
تدمد:1471-2431
DOI:10.1186/s12887-024-04881-1