Evidence map›Paper›PMID 40162035›Full record

ArticleInfection and drug resistance2025

Hyper-IgE Syndrome: A Case Report with Insights from Bioinformatics Analysis of Key Pathways and Genes.

Juan Li, Wei-Hua Han, Meng-Yu Zhang, Jia-Qi Fan, Guo-Dong Li, Jun-Yi Li, Xiao Chen

Abstract readCase Reports
In one paragraph

Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Juan Li *Department of Comprehensive Ward, The Affiliated Taian City Central Hospital of Qingdao University, Tai'an, People's Republic of China.
Wei-Hua Han *Department of Intensive Care Unit,The Affiliated Taian City Central Hospital of Qingdao University, Tai'an, People's Republic of China.
Meng-Yu Zhang *Department of Pulmonary and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, People's Republic of China.
Jia-Qi FanJining Medical University, Jining, People's Republic of China.
Guo-Dong LiDepartment of Pulmonary and Critical Care Medicine, The Affiliated Taian City Central Hospital of Qingdao University, Tai'an, People's Republic of China.
Jun-Yi LiThe Second Clinical Medical College of Nanchang University, Nanchang, People's Republic of China.
Xiao ChenDepartment of Pulmonary and Critical Care Medicine, The Affiliated Taian City Central Hospital of Qingdao University, Tai'an, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study reports on a patient with High IgE Syndrome(HIES), focusing on clinical manifestations and pathogenic mechanisms through bioinformatics to enhance understanding and treatment. Patients and Methods: The patient received appropriate interventions and was currently undergoing treatment with close monitoring. Additionally, bioinformatics analyses were conducted to investigate potential signaling pathways and key genes associated with HIES. Results: A 28-year-old woman presented with a 6-month history of cough, worsening dyspnea, and eczema was diagnosed with HIES after elevated immunoglobulin levels and a STAT3 mutation. Initially, she declined immunoglobulin therapy, but showed improvement with sulfamethoxazole-trimethoprim and subsequently required intravenous immunoglobulin therapy for ongoing management. KEGG pathway analysis revealed that these genes were primarily associated with infection-related signaling pathways, consistent with the susceptibility to infections observed in HIES patients. Protein-protein interaction (PPI) network analysis highlighted the importance of key genes such as IL6, CDH2, and CLDN1. Conclusion: Increased HIES awareness among healthcare providers is crucial for patients with recurrent infections, requiring a multidisciplinary approach. Our study identified IL6, CDH2, and CLDN1 as key factors in HIES progression, suggesting naive B cells and dormant mast cells may be involved.

Indexed as

CDH2CLDN1HIESIL6infectionSTAT3 mutation

Identifiers

PMID40162035
PMCPMC11952148

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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.