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This study aims to investigate individual changes in these AH substances and the interactions among altered components through a multi\u2010omics approach. LC\/MS analysis was conducted on AH samples from patients with exfoliation syndrome (XFS,\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u20095), exfoliation glaucoma (XFG,\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u20094), primary open\u2010angle glaucoma (POAG,\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u200911), and cataracts (control group,\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u20097). Subsequently, differentially expressed proteins and metabolites among groups, alterations in their network interactions, and their biological functions were examined. Both data\u2010independent acquisition and data\u2010dependent acquisition methods were employed to analyze the AH proteome and metabolome, and the results were integrated for a comprehensive analysis. In the proteomics analysis, proteins upregulated in both the XFG and POAG groups were associated with lipid metabolism, complement activation, and extracellular matrix regulation. Metabolomic analysis highlighted significant changes in amino acids related to antioxidant processes in the glaucoma groups. Notably, VTN, APOA1, C6, and L\u2010phenylalanine exhibited significant alterations in the glaucoma groups. Integration of individual omics analyses demonstrated that substances associated with inflammation and lipid metabolism, altered in the glaucoma groups, showed robust interactions within a complex network involving PLG, APOA1, and L\u2010phenylalanine or C3, APOD, and L\u2010valine. These findings offer valuable insights into the molecular mechanisms governing IOP regulation and may contribute to the development of new biomarkers for managing glaucoma.\n                  <\/jats:p>","DOI":"10.1002\/biof.2079","type":"journal-article","created":{"date-parts":[[2024,5,31]],"date-time":"2024-05-31T07:22:18Z","timestamp":1717140138000},"page":"1220-1235","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Differential protein expression and metabolite profiling in glaucoma: Insights from a multi\u2010omics analysis"],"prefix":"10.1002","volume":"50","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8832-6587","authenticated-orcid":false,"given":"Jeong\u2010hun","family":"Mok","sequence":"first","affiliation":[{"name":"Department of Medical Device Management and Research SAIHST, Sungkyunkwan University  Seoul Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6089-6898","authenticated-orcid":false,"given":"Do Young","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology Samsung Medical Center, Sungkyunkwan University School of Medicine  Seoul Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9242-1168","authenticated-orcid":false,"given":"Jong Chul","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Medical Device Management and Research SAIHST, Sungkyunkwan University  Seoul Korea"},{"name":"Department of Ophthalmology Samsung Medical Center, Sungkyunkwan University School of Medicine  Seoul Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,5,31]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/s0140-6736(23)01289-8"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/ceo.14027"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1002\/biof.99"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/aos.12918"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1097\/IJG.0000000000000906"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1444-0938.2002.tb02384.x"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2022.835736"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mcpro.2021.100117"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.exer.2020.108077"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.1002\/pmic.201200452"},{"key":"e_1_2_10_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11306-007-0070-6"},{"key":"e_1_2_10_13_1","doi-asserted-by":"publisher","DOI":"10.1021\/ac502045j"},{"key":"e_1_2_10_14_1","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gky510"},{"issue":"4","key":"e_1_2_10_15_1","first-page":"1","article-title":"Genomic, proteomic, and metabolomic data integration strategies","volume":"10","author":"Wanichthanarak K","year":"2015","journal-title":"Biomark Insights"},{"key":"e_1_2_10_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1357-2725(99)00005-9"},{"key":"e_1_2_10_17_1","doi-asserted-by":"publisher","DOI":"10.1021\/bi962895r"},{"key":"e_1_2_10_18_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12958-017-0277-y"},{"key":"e_1_2_10_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12094-020-02354-2"},{"key":"e_1_2_10_20_1","doi-asserted-by":"publisher","DOI":"10.1038\/eye.2015.37"},{"issue":"12","key":"e_1_2_10_21_1","article-title":"Pharmacological inhibition of lysine\u2010specific demethylase 1A reduces atherosclerotic lesion formation in Apolipoprotein E\u2010deficient mice by a mechanism involving decreased oxidative stress and inflammation; 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