<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Xie Z</submitter><funding>Lingang Laboratory</funding><funding>Natural Science Foundation of China for Innovation Research Group</funding><funding>National Natural Science Foundation of China</funding><funding>Shandong Laboratory Program</funding><pagination>989</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11529322</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>22(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Neuromyelitis optica spectrum disorders (NMOSD) are autoimmune conditions that affect the central nervous system. The contribution of peripheral abnormalities to the disease's pathogenesis is not well understood.&lt;h4>Methods&lt;/h4>To investigate this, we employed a multi-omics approach analyzing blood samples from 52 NMOSD patients and 46 healthy controls (HC). This included mass cytometry, cytokine arrays, and targeted metabolomics. We then analyzed the peripheral changes of NMOSD, and features related to NMOSD's disease severity. Furthermore, an integrative analysis was conducted to identify the distinguishing characteristics of NMOSD from HC. Additionally, we unveiled the variations in peripheral features among different clinical subgroups within NMOSD. An independent co</pubmed_abstract><journal>Journal of translational medicine</journal><pubmed_title>Integrated omics profiling reveals systemic dysregulation and potential biomarkers in the blood of patients with neuromyelitis optica spectrum disorders.</pubmed_title><pmcid>PMC11529322</pmcid><funding_grant_id>82201558</funding_grant_id><funding_grant_id>LG202101-01-01</funding_grant_id><funding_grant_id>SYS202205</funding_grant_id><funding_grant_id>81821005</funding_grant_id><pubmed_authors>Ge C</pubmed_authors><pubmed_authors>Zhou Q</pubmed_authors><pubmed_authors>Luo Z</pubmed_authors><pubmed_authors>Zhang J</pubmed_authors><pubmed_authors>Xie Z</pubmed_authors><pubmed_authors>Feng Y</pubmed_authors><pubmed_authors>Chu X</pubmed_authors><pubmed_authors>He L</pubmed_authors><pubmed_authors>Yang D</pubmed_authors><pubmed_authors>Li L</pubmed_authors><pubmed_authors>Geng M</pubmed_authors><pubmed_authors>Liu X</pubmed_authors><pubmed_authors>Yang X</pubmed_authors><pubmed_authors>Du C</pubmed_authors><pubmed_authors>Hu J</pubmed_authors><pubmed_authors>Zhang X</pubmed_authors><pubmed_authors>Sun G</pubmed_authors><pubmed_authors>Chen S</pubmed_authors><pubmed_authors>Meng H</pubmed_authors></additional><is_claimable>false</is_claimable><name>Integrated omics profiling reveals systemic dysregulation and potential biomarkers in the blood of patients with neuromyelitis optica spectrum disorders.</name><description>&lt;h4>Background&lt;/h4>Neuromyelitis optica spectrum disorders (NMOSD) are autoimmune conditions that affect the central nervous system. The contribution of peripheral abnormalities to the disease's pathogenesis is not well understood.&lt;h4>Methods&lt;/h4>To investigate this, we employed a multi-omics approach analyzing blood samples from 52 NMOSD patients and 46 healthy controls (HC). This included mass cytometry, cytokine arrays, and targeted metabolomics. We then analyzed the peripheral changes of NMOSD, and features related to NMOSD's disease severity. Furthermore, an integrative analysis was conducted to identify the distinguishing characteristics of NMOSD from HC. Additionally, we unveiled the variations in peripheral features among different clinical subgroups within NMOSD. An independent co</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Nov</publication><modification>2025-04-04T13:20:03.707Z</modification><creation>2025-04-04T13:20:03.707Z</creation></dates><accession>S-EPMC11529322</accession><cross_references><pubmed>39487546</pubmed><doi>10.1186/s12967-024-05801-8</doi></cross_references></HashMap>