<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE330nnn/GSE330223/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Homo sapiens</species><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE330223</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Convergence of cytokine dysregulation and antibody deficiency in common variable immunodeficiency with inflammatory complications</name><description>Background: Noninfectious complications are the greatest cause of morbidity and mortality in common variable immunodeficiency (CVID), but their pathogenesis remains poorly defined. Objective: Using high-throughput approaches, we aimed to identify, correlate, and determine the significance of immunologic features of CVID with noninfectious complications (CVIDc). Methods: We simultaneously applied proteomics, RNA sequencing, and mass cytometry to a large cohort with primary antibody deficiency. Results: CVIDc is differentiated from uncomplicated CVID, other forms of primary antibody deficiency, and healthy controls by a distinct plasma proteomic profile. In addition to confirming previously reported elevations of 4-1BB, IL-6, IL-18, and IFN-γ, we found elevations of colony-stimulating factor 1, IL-12p40, IL-18R, oncostatin M, TNF, and vascular endothelial growth factor A to differentiate CVIDc. This cytokine dysregulation correlated with deficiency of LPS-specific antibodies and increased soluble CD14, suggesting microbial translocation. Indicating potential significance of reduced LPS-specific antibodies and resultant microbial-induced inflammation, CVIDc had altered LPS-induced gene expression matching plasma proteomics and corresponding with increased CD14+CD16- monocytes, memory T cells, and tissue inflammation ameliorated by T-cell-targeted therapy. Unsupervised machine learning accurately differentiated subjects with CVIDc and supported cytokine dysregulation, antibody deficit, and T-cell activation as defining and convergent features. Conclusions: Our data expand understanding of CVIDc proteomics, establish its link with deficiency of IgA and LPS-specific antibodies, and implicate altered LPS-induced gene expression and elevated monocytes and T cells in this cytokine dysregulation. This work indicates that CVIDc results when insufficient antibody neutralization of pathogen-associated molecular patterns, like LPS, occurs in those with a heightened response to these inflammatory mediators, suggesting a 2-hit model of pathogenesis requiring further exploration.</description><dates><publication>2026/05/12</publication></dates><accession>GSE330223</accession><cross_references><GSM>GSM9721549</GSM><GSM>GSM9721569</GSM><GSM>GSM9721547</GSM><GSM>GSM9721548</GSM><GSM>GSM9721567</GSM><GSM>GSM9721545</GSM><GSM>GSM9721546</GSM><GSM>GSM9721568</GSM><GSM>GSM9721543</GSM><GSM>GSM9721565</GSM><GSM>GSM9721566</GSM><GSM>GSM9721544</GSM><GSM>GSM9721563</GSM><GSM>GSM9721541</GSM><GSM>GSM9721564</GSM><GSM>GSM9721542</GSM><GSM>GSM9721561</GSM><GSM>GSM9721540</GSM><GSM>GSM9721562</GSM><GSM>GSM9721560</GSM><GSM>GSM9721538</GSM><GSM>GSM9721539</GSM><GSM>GSM9721558</GSM><GSM>GSM9721536</GSM><GSM>GSM9721537</GSM><GSM>GSM9721559</GSM><GSM>GSM9721556</GSM><GSM>GSM9721535</GSM><GSM>GSM9721557</GSM><GSM>GSM9721576</GSM><GSM>GSM9721554</GSM><GSM>GSM9721555</GSM><GSM>GSM9721552</GSM><GSM>GSM9721574</GSM><GSM>GSM9721575</GSM><GSM>GSM9721553</GSM><GSM>GSM9721572</GSM><GSM>GSM9721550</GSM><GSM>GSM9721573</GSM><GSM>GSM9721551</GSM><GSM>GSM9721570</GSM><GSM>GSM9721571</GSM><GPL>30173</GPL><GSE>330223</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>