Immunoglobulin glycosylation profiling for early identification of patients with severe influenza pneumonia.

ABSTRACT:

Background

Uncontrolled inflammation can result in severe status and even death in influenza patients, and there is a lack of early clinical evaluation models.

Methods

We recruited patients with influenza pneumonia and healthy controls from the emergency departments of three urban teaching hospitals in Beijing, China, during the winter of 2018-2019. Donated plasma samples were screened using protein and lectin microarrays to assess changes in the glycosylation patterns of immunoglobulins. These changes were used to develop and validate an Immunoglobulin Glycosylation Profile for Severe Status Identification Algorithm (IGPSSIA). A combined model of IGPSSIA score and clinical indicators was constructed to identify severe influenza pneumonia cases.

Results

We enrolled 11

SUBMITTER: Teng F 

PROVIDER: S-EPMC12465409 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature