[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-443510-105":59,"doc-detail-443510-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","urinary-proteomics-as-a-noninvasive-readout-of-obesity-associated-inflammation-study-findings","Urinary Proteomics as a Noninvasive Readout of Obesity-associated Inflammation - Study Findings","","Obesity is linked to a low-grade chronic inflammatory state that can be reflected by circulating inflammatory proteins, yet current biomarker assessment typically relies on invasive blood sampling or tissue biopsies. This study uses a noninvasive strategy measuring the urinary proteome of normal-weight controls and individuals with obesity. Morning urine was analyzed with Olink Explore 384 inflammation profiling, followed by statistical and network analyses. Urine profiles identified significantly regulated inflammation proteins and protein clusters associated with obesity-related phenotypes, supporting urine as an accessible inflammation readout.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/urinary-proteomics-as-a-noninvasive-readout-of-obesity-associated-inflammation-study-findings/443510/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/urinary-proteomics-as-a-noninvasive-readout-of-obesity-associated-inflammation-study-findings/443510.png","ImageObject",300,407,{"name":92,"@type":93},"Aurelia","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-09-29",true,{"@type":102,"interactionType":103,"userInteractionCount":52},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the main objective of the study?","Question",{"text":112,"@type":113},"To determine obesity-induced inflammation using a noninvasive approach by measuring the urinary proteome of individuals with and without obesity.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How were urine samples collected and analyzed?",{"text":117,"@type":113},"Morning urine samples were collected from normal-weight controls and individuals with obesity, and normalized protein expression was obtained using the Olink Explore 384 inflammation panel.",{"name":119,"@type":110,"acceptedAnswer":120},"What did the results show about inflammation proteins?",{"text":121,"@type":113},"Among 384 inflammation proteins, 48 showed significant differences after false discovery rate correction, and network analysis identified clusters associated with obesity-related circulating measures and body fat distribution.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},443510,1790741575,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":52,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":44,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":144,"preview_page_count":4},1099514068365,"https://ap-avatar.wpscdn.com/avatar/10000253d8d9f28188e?_k=1776742907772140068","Urinary Proteomics as a Noninvasive Readout of Obesity-associated Inflammation  \nEsra Canki,1 Esther Kho,2 Ruud van Stiphout,2 Niels P. Riksen,3 Mihai Netea,3,4  \nLeo A. B. Joosten,3,5 Rinke Stienstra,3,6, * and Joost Hoenderop 1, *  \n1 Department of Medical BioSciences, Radboud Institute of Medical Innovation, Radboudumc, 6525 GA Nijmegen, The Netherlands 2 Imec within OnePlanet Research Center, 6708 WE Wageningen, The Netherlands  \n3 Department of Internal Medicine, Radboudumc, 6525 GA Nijmegen, The Netherlands  \n4 Department of Immunology and Metabolism, Life and Medical Sciences Institute, University of Bonn, 53113 Bonn, Germany 5 Department of Medical Genetics, Iuliu Hatieganu University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania 6 Division of Human Nutrition and Health, Wageningen University, 6708 PB Wageningen, The Netherlands  \nCorrespondence: Joost Hoenderop, PhD, Department of Medical BioSciences, Radboud University Medical Center, P.O. Box 9101, Nijmegen 6500 HB, The Netherlands. Email: [joost.hoenderop@radboudumc.nl](joost.hoenderop@radboudumc.nl).  \n*Shared senior authorship.  \nAbstract  \nIntroduction: Obesity affects a large percentage of the population, and it is associated with many comorbidities. These pathologies often coincide with the presence of a low-grade chronic inflammatory state in individuals with obesity that can be measured using circulating inflammatory proteins. The objective of this study was to use a noninvasive approach to determine obesity-induced inflammation by measuring the urinary proteome of individuals with and without obesity.  \nMethods: Morning urine samples were taken from normal-weight controls (n = 30) with a mean body mass index (BMI) of 22.8 kg/m2 and people with obesity (n = 58) with a mean BMI of 32.9 kg/m2. Further data regarding high-density lipoprotein, fat distribution, blood pressure, and waist circumference were available from the individuals with obesity. Using these samples, normalized protein expression data were obtained using the Olink Explore 384 inflammation panel. These data were analyzed using R to elucidate the differences in protein expression between the individuals with and without obesity.  \nResults: Of the 384 inflammation proteins, 48 proteins had a P \u003C .05 with false discovery rate correction between the persons with obesity and the persons without obesity. Network analysis revealed 5 different clusters of proteins with several clusters associated ( P \u003C .05) with circulating concentrations of high-density lipoprotein, waist circumference, and fat distribution in individuals with obesity.  \nConclusion: This paper shows that urine may represent a novel noninvasive approach to measure the state of inflammation in individuals with obesity using Olink targeted proteomics.  \nKey Words: OLINK, targeted proteomics, obesity, BMI, urine, biomarkers  \nObesity and overweight are growing public health concerns worldwide, affecting 60% of adults and almost 1 in 3 children in Europe [1], and are major contributors to several diseases [2] . Obesity can cause metabolic syndrome, which leads to different symptoms including increased blood pressure, dyslipidemia, raised fasting glucose, and an increased waist circumference. Metabolic syndrome greatly increases the risk for the development of cardiovascular disease and type 2 diabetes mellitus in individuals with obesity [3-5] . The presence of obesity is often accompanied by a low-grade inflammatory state that has been shown to largely to originate from expanding adipose tissue. Extensive research has already shown that macrophages and the adipose tissue themselves are 1 of the main causes of proinflammatory cytokine release [6, 7] . However, other components of the immune system are also affected, as the number of white blood cells is increased in people with obesity and concentrations of C-reactive protein (CRP) produced by the liver are increased [8-10] . The  \nneutrophils and monocytes are present in the adip","cbCaidWDivkdSzrf","https://ap.wps.com/l/cbCaidWDivkdSzrf","pdf",1035596,"English","# Abstract\n## Introduction\n## Methods\n## Results\n## Conclusion\n## Key Words\n## Background and Rationale","[{\"question\":\"What is the main objective of the study?\",\"answer\":\"To determine obesity-induced inflammation using a noninvasive approach by measuring the urinary proteome of individuals with and without obesity.\"},{\"question\":\"How were urine samples collected and analyzed?\",\"answer\":\"Morning urine samples were collected from normal-weight controls and individuals with obesity, and normalized protein expression was obtained using the Olink Explore 384 inflammation panel.\"},{\"question\":\"What did the results show about inflammation proteins?\",\"answer\":\"Among 384 inflammation proteins, 48 showed significant differences after false discovery rate correction, and network analysis identified clusters associated with obesity-related circulating measures and body fat distribution.\"}]","Urinary Proteomics as a Noninvasive Readout of Obesity-associated Inflammation - Study Findings | PDF",1790704290,23]