[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-127705-en":3,"doc-seo-127705-105":30,"detail-sidebar-cat-0-en-105":95},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},127705,962084928432,"Emma Wilson","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",8,"Research & Report","An immuno-lipidomic signature revealed by metabolomic and machine-learning approaches in labial salivary gland to diagnose primary Sjögren’s syndrome","Primary Sjögren’s syndrome (pSS) is diagnosed using labial salivary gland (LSG) biopsy with focal lymphocytic sialadenitis and a focus score, but these findings often reflect advanced disease. A prospective cohort study combined targeted metabolomics with machine-learning to identify early biomarkers in LSG. Using linear models and random forests across training, validation, and test sets, a six-metabolite immuno-lipidomic signature discriminated early pSS from non-pSS sicca and linked components to lymphocytic infiltration and anti-SSA antibodies.","UCSF  \nUC San Francisco Previously Published Works  \nTitle  \nAn immuno-lipidomic signature revealed by metabolomic and machine-learning approaches in labial salivary gland to diagnose primary Sjögrens syndrome.  \nPermalink  \n[https://escholarship.org/uc/item/7829d616](https://escholarship.org/uc/item/7829d616)  \nAuthors  \nChabrun, Floris  \nDelattre, Estelle Lacout, Carole et al.  \nPublication Date  \n2023  \nDOI  \n10.3389/fimmu.2023.1205616  \nPeer reviewed  \n[eScholarship.org](eScholarship.org) Powered by the California Digital Library  \nUniversity of California  \nTYPE Original Research PUBLISHED 14 July 2023  \nDOI 10.3389/fimmu.2023.1205616  \nOPEN ACCESS  \nEDITED BY  \nEfstathia K. Kapsogeorgou,  \nNational and Kapodistrian University of Athens, Greece  \nREVIEWED BY Paola Perez,  \nNational Institute of Dental and Craniofacial Research (NIH), United States Nikolaos C. Kyriakidis,  \nUniversity of the Americas, Ecuador  \n*CORRESPONDENCE Geoffrey Urbanski  \n [urbanskigeoffrey@gmail.com](urbanskigeoffrey@gmail.com)  \n†These authors have contributed equally to this work and share last authorship  \nRECEIVED 14 April 2023  \nACCEPTED 28 June 2023  \nPUBLISHED 14 July 2023  \nCITATION  \nUrbanski G, Chabrun F, Delattre E, Lacout C, Davidson B, Blanchet O,  \nChao de la Barca JM, Simard G, Lavigne Cand Reynier P (2023) An immunolipidomic signature revealed by metabolomic and machine-learning approaches in labial salivary gland to diagnose primary Sjögren ’s syndrome. Front. Immunol. 14:1205616 .  \ndoi: 10.3389/fimmu.2023.1205616  \nCOPYRIGHT  \n© 2023 Urbanski, Chabrun, Delattre, Lacout, Davidson, Blanchet, Chao de la Barca, Simard, Lavigne and Reynier. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.  \nAn immuno-lipidomic signature revealed by metabolomic and machine-learning approaches in labial salivary gland to diagnose primary Sjögren’s syndrome  \nGeoffrey Urbanski 1,2,3*, Floris Chabrun 2,4, Estelle Delattre 1, Carole Lacout 1, Brittany Davidson 3, Odile Blanchet 5, Juan Manuel Chao de la Barca 2,4, Gilles Simard 2,4, Christian Lavigne 1† and Pascal Reynier 2,4†  \n1 Department of Internal Medicine and Clinical Immunology, University Hospital, Angers, France,  \n2 Mitolab, MitoVasc Institute, CNRS 6015, INSERM U1083, University of Angers, Angers, France,  \n3 Department of Orofacial Sciences, University of California, San Francisco, San Francisco, CA, United States, 4 Department of Biochemistry and Molecular Biology, University Hospital, Angers, France, 5Centre de Ressources Biologiques, University Hospital, Angers, France  \nIntroduction: Assessing labial salivary gland exocrinopathy is a cornerstone in primary Sjögren ’ s syndrome . Currently this relies on the histopathologic diagnosis of focal lymphocytic sialadenitis and computing a focus score by counting lym=phocyte foci. However, those lesions represent advanced stages of primary Sjögren ’s syndrome, although earlier recognition of primary Sjögren’s syndrome and its effective treatment could prevent irreversible damage to labial salivary gland. This study aimed at finding early biomarkers of primary Sjögren’s syndrome in labial salivary gland combining metabolomics and machinelearning approaches.  \nMethods: We used a standardized targeted metabolomic approach involving high performance liquid chromatography coupled with mass spectrometry among newly diagnosed primary Sjögren ’s syndrome (n=40) and non-primary Sjögren ’ s syndrome sicca (n=40) participants in a prospective cohort. A metabolic signature predictive of primary Sjögren ’ s syndrome status was explored using linear (logistic regressi","cbCaieCwy0DYfo9S","https://ap.wps.com/l/cbCaieCwy0DYfo9S","pdf",1236041,1,12,"English","en",105,"# Introduction\n## Biomarker rationale in labial salivary gland\n# Methods\n## Targeted metabolomics and machine-learning models\n# Results\n## Six-metabolite signature and biological associations\n# Conclusion","[{\"question\":\"Why is labial salivary gland assessment important in primary Sjögren’s syndrome?\",\"answer\":\"LSG biopsy supports diagnosis by demonstrating focal lymphocytic sialadenitis and focus score calculation. However, these lesions are often linked to more advanced stages, motivating early biomarker discovery.\"},{\"question\":\"How was the metabolic signature built in this study?\",\"answer\":\"Targeted metabolomics was performed using high-performance liquid chromatography coupled with mass spectrometry. Models included logistic regression with elastic-net regularization and random forests, evaluated via training, validation, and test splits.\"},{\"question\":\"Which metabolites composed the discriminant immuno-lipidomic signature?\",\"answer\":\"The signature comprised six metabolites: kynurenine and five phospholipids (LysoPC C28:0; PCaa C26:0; PCaa C30:2; PCae C30:1; PCae C30:2).\"},{\"question\":\"What biological meaning did the signature components have?\",\"answer\":\"The phospholipid component related to lymphocytic infiltrate intensity in salivary glands, while kynurenine was independently associated with anti-SSA antibodies in participant serum.\"}]","An immuno-lipidomic signature revealed by metabolomic and machine-learning approaches in labial salivary gland to diagnose primary Sjögren’s syndrome | PDF",1785941074,30,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":90,"head_meta":92,"extra_data":94,"updated_unix":28},"an-immuno-lipidomic-signature-revealed-by-metabolomic-and-machine-learning-approaches-in-labial-salivary-gland-to-diagnose-primary-sjogrens-syndrome","",{"@graph":36,"@context":89},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/an-immuno-lipidomic-signature-revealed-by-metabolomic-and-machine-learning-approaches-in-labial-salivary-gland-to-diagnose-primary-sjogrens-syndrome/127705/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-05",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81,85],{"name":72,"@type":73,"acceptedAnswer":74},"Why is labial salivary gland assessment important in primary Sjögren’s syndrome?","Question",{"text":75,"@type":76},"LSG biopsy supports diagnosis by demonstrating focal lymphocytic sialadenitis and focus score calculation. However, these lesions are often linked to more advanced stages, motivating early biomarker discovery.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How was the metabolic signature built in this study?",{"text":80,"@type":76},"Targeted metabolomics was performed using high-performance liquid chromatography coupled with mass spectrometry. Models included logistic regression with elastic-net regularization and random forests, evaluated via training, validation, and test splits.",{"name":82,"@type":73,"acceptedAnswer":83},"Which metabolites composed the discriminant immuno-lipidomic signature?",{"text":84,"@type":76},"The signature comprised six metabolites: kynurenine and five phospholipids (LysoPC C28:0; PCaa C26:0; PCaa C30:2; PCae C30:1; PCae C30:2).",{"name":86,"@type":73,"acceptedAnswer":87},"What biological meaning did the signature components have?",{"text":88,"@type":76},"The phospholipid component related to lymphocytic infiltrate intensity in salivary glands, while kynurenine was independently associated with anti-SSA antibodies in participant serum.","https://schema.org",{"og:url":52,"og:type":91,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":93,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":96},[97,101,105,109,114,119,124,126,131,134,138],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":106,"show_sort_weight":107,"slug":108},"Exam",70,"exam",{"id":110,"doc_module":4,"doc_module_name":46,"category_name":111,"show_sort_weight":112,"slug":113},5,"Comic",60,"comic",{"id":115,"doc_module":4,"doc_module_name":46,"category_name":116,"show_sort_weight":117,"slug":118},6,"Technology",50,"technology",{"id":120,"doc_module":4,"doc_module_name":46,"category_name":121,"show_sort_weight":122,"slug":123},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":29,"slug":125},"research-report",{"id":127,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":129,"slug":130},9,"Religion & Spirituality",20,"religion-spirituality",{"id":129,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":129,"slug":133},"World Cup","world-cup",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":135,"slug":137},10,"Lifestyle","lifestyle",{"id":139,"doc_module":4,"doc_module_name":46,"category_name":140,"show_sort_weight":110,"slug":141},19,"General","general"]