Evidence map›Paper›PMID 42343224›Full record

ArticleBMC immunology2026

Hsa_circ_0077658 serves as a potential diagnostic biomarker for severe pneumonia in children and alleviates lipopolysaccharide-induced damage to bronchial epithelial cells by modulating the miR-15a-5p/NF1 axis.

Hui Zhang, Chang Liu, Hui Qi, Mei Yang

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Article in BMC immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Hui ZhangPediatric Outpatient Clinic, Children's hospital of SHANXI (Women health center of SHANXI), Taiyuan, 030000, China.
Chang LiuDepartment of Respiratory, The Third Hospital of Shijiazhuang, Shijiazhuang, 050011, China.
Hui QiChina National Clinical Research Center for Respiratory Diseases, Department of Respiratory Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Mei YangDepartment of Pediatrics, Chongqing Three Gorges Medical College Fengjie Affiliated Hospital, No. 2, Kangning Street, Yufu Street, Fengjie County, Chongqing, 404600, China. Yangmeichongqing@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere pneumonia in children typically presents with the most prominent early lesion being damage to the bronchial mucosa.

aimTo explore the diagnostic value of hsa_circ_0077658 in pediatric severe pneumonia and its possible mechanism of action. MATERIALS AND

methods116 children with severe pneumonia, 87 children with pneumonia, and 60 healthy children were included. Lipopolysaccharide (LPS) was used to stimulate BEAS-2B cells to establish a pneumonia cell model. Reverse Transcription quantitative PCR (RT-qPCR) was performed to detect the expression levels of hsa_circ_0077658, miR-15a-5p and Neurofibromatosis type 1(NF1). The Enzyme-Linked Immunosorbent Assay (ELISA) method was performed to detect the levels of oxidative stress markers and inflammatory factors. The Annexin V/PI and Cell Counting Kit-8 (CCK-8) kits were used to assess the apoptosis and proliferation levels of BEAS-2B cells, respectively. Person's correlation analysis, dual luciferase assays and RNA Binding Protein Immunoprecipitation (RIP) experiments were performed to demonstrate the relationship between genes.

resultsHsa_circ_0077658 and NF1 were downregulated in patients with pneumonia and in LPS-induced BEAS-2B cells, while miR-15a-5p was upregulated. Hsa_circ_0077658 showed excellent diagnostic performance, with an AUC of 0.820 (95% CI: 0.749-0.890) in healthy vs. pneumonia children comparison and 0.931 (95% CI: 0.894-0.966) for distinguishing pneumonia children from severe pneumonia children. Following exposure to LPS, BEAS-2B cells exhibited heightened oxidative stress, apoptosis, and inflammatory responses, while cellular proliferation was suppressed. Hsa_circ_0077658 targets miR-15a-5p, and NF1 is the downstream effect target of miR-15a-5p. Overexpression of hsa_circ_0077658 can alleviate the oxidative stress, apoptosis and inflammatory response in LPS-BEAS-2B cells, thereby promoting proliferation. This effect was reversed by overexpression of miR-15a-5p. Furthermore, overexpression of NF1 can reverse the exacerbating effect of miR-15a-5p overexpression on the damage caused by LPS to BEAS-2B cells.

conclusionHsa_circ_0077658 may be a biomarker for pediatric severe pneumonia, potentially influencing disease progression via the miR-15a-5p/NF1 axis.

Indexed as

BronchiEpithelial CellsMicroRNAsPneumoniaRNA, CircularApoptosisBiomarkersCell LineCell ProliferationChildChild, PreschoolFemaleHumansInfantLipopolysaccharidesMaleBiomarkersLipopolysaccharidesMicroRNAsMIRN15 microRNA, humanRNA, CircularApoptosisHsa_circ_0077658miR-15a-5pNF1ProliferationSevere pneumonia

Identifiers

PMID42343224
PMCPMC13560433

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.