Effects of Differentially Expressed mRNAs Screened Based on GEO Database on Inflammatory Infiltration of Nasal Mucosa in Mice with Allergic Rhinitis

Objective: To identify messenger RNAs (mRNAs) with differential expression in allergic rhinitis (AR) based on an online database, Gene Expression Omnibus (GEO), to provide a new research direction for future diagnosis and treatment of AR.

Methods: The GSE44037 dataset from the CEO database was selected to obtain differentially expressed mRNAs (DEmRNAs) in AR. The keywords involved in these DEmRNAs were enriched and analyzed, and ECM1 and CCL2 were selected for subsequent analysis. In addition, BALB/c mice were purchased and randomized to control (normal feeding), model (AR modeling), si-CCL2 (AR modeling + CCL2 suppression by lentivirus vector), nc-CCL2 (AR modeling + CCL2 empty vector), si-ECM1 (AR modeling + ECM1 suppression by lentivirus vector), and nc-ECM1 (AR modeling + ECM1 empty vector) groups. The frequencies of sneezing and nasal rubbing were recorded in each group. Besides, levels of CCL2, ECM1, interleukin (IL)-6, IL-8, tumor necrosis factor (TNF)-α, and high sensitivity C-reactive protein (hs-CRP) were quantified, and the inflammatory infiltration of nasal mucosa (NM) was observed.

Results: Twenty-six DEmRNAs were acquired from the GSE44037 dataset, among which only CCL2 and ECM1 were found to be associated with keywords such as "immune response" and "inflammatory response" through enrichment analysis. In animal experiments, CCL2 presented lower mRNA expression in model mice than in control mice, while ECM1 showed higher mRNA expression (P < .05). The frequencies of sneezing and nose rubbing and the levels of inflammatory factors were significantly increased in si-CCL2 mice compared with model mice, while were significantly decreased in si-ECM1 mice (P < .05). The NM inflammatory infiltration was serious in the si-CCL2 group and significantly improved in the si-ECM1 group.

Conclusions: Low expression of CCL2 and high expression of ECM1 in AR are strongly linked to the pathological progression of AR, and these two genes are expected to be new research directions for AR diagnosis and treatment.

Medienart:

Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:29

Enthalten in:

Alternative therapies in health and medicine - 29(2023), 8 vom: 24. Nov., Seite 608-612

Sprache:

Englisch

Beteiligte Personen:

Li, Te [VerfasserIn]
Wang, Yangfan [VerfasserIn]
Zhao, Yan [VerfasserIn]
Liu, Rongrong [VerfasserIn]

Themen:

Journal Article
RNA, Messenger

Anmerkungen:

Date Completed 23.02.2024

Date Revised 23.02.2024

published: Print

Citation Status MEDLINE

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM361764669