Association of Oxytocin with Glucose Intolerance and Inflammation Biomarkers in Metabolic Syndrome Patients with and without Prediabetes
The aim of this study was to explore the differences in OXT levels in metabolic syndrome (MetS) subjects, newly diagnosed type 2 diabetes mellitus (T2D), and prediabetes subjects vs. MetS subjects without glucose intolerance (non-diabetic MetS). It was also intended to determine the relationship bet...
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| Veröffentlicht in: | The review of diabetic studies 2018, Vol.14 (4), p.364-371 |
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| creator | Akour, Amal Kasabri, Violet Bulatova, Nailya Al Muhaissen, Suha Naffa, Randa Fahmawi, Hiba Momani, Munther Zayed, Ayman Bustanji, Yasser |
| description | The aim of this study was to explore the differences in OXT levels in metabolic syndrome (MetS) subjects, newly diagnosed type 2 diabetes mellitus (T2D), and prediabetes subjects vs. MetS subjects without glucose intolerance (non-diabetic MetS). It was also intended to determine the relationship between plasma OXT levels and inflammatory markers in those subjects.
Along with 45 lean and normoglycemic controls, a total of 190 MetS subjects (61 men, 129 women) were enrolled. Colorimetric enzymatic assays of the following components were performed: plasma OXT, high-sensitivity C-reactive protein (hs-CRP), macrophage chemoattractant protein 1 (MCP-1), plasminogen activator inhibitor 1 (PAI-1), matrix metalloproteinase 9 (MMP-9), resistin, adiponectin, leptin, macrophage migration inhibitory factor (MIF), tumor necrosis factor α (TNF-α), thrompospondin 1 (TSP-1), interleukin 10 (IL-10), interleukin 6 (IL-6), and glucagon.
hsCRP, PAI-1, resistin, leptin-to-adiponection-ratio (LAR), TNF-α, TSP-1, and MIF were significantly higher in both MetS groups (prediabetic and T2DM) than in MetS-only subjects. Leptin and MMP-9 were significantly higher in the MetS-T2DM group (but not in MetS-prediabetics) vs. MetS-only subjects. Conversely adiponectin, OXT, MCP-1, and IL-10 were significantly lower in both MetS groups (prediabetic and T2DM) than in MetS-only subjects. There was no marked discrepancy in either glucagon or IL-6 levels among the three MetS groups. In the entire MetS study population, OXT correlated substantially and proportionally with MCP-1, IL-10, and IL-6; it correlated negatively with HbA1c, fasting plasma glucose (FPG), PAI-1, MMP-9, TNF-α, TSP-1, resistin, adiponectin, leptin, LAR, and MIF. No association could be observed between OXT and glucagon.
OXT may be a substantial surrogate predictive/prognostic tool and putative pharmacotherapeutic target in metabolic anomalies and related disorders. |
| doi_str_mv | 10.1900/RDS.2017.14.364 |
| format | Article |
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Along with 45 lean and normoglycemic controls, a total of 190 MetS subjects (61 men, 129 women) were enrolled. Colorimetric enzymatic assays of the following components were performed: plasma OXT, high-sensitivity C-reactive protein (hs-CRP), macrophage chemoattractant protein 1 (MCP-1), plasminogen activator inhibitor 1 (PAI-1), matrix metalloproteinase 9 (MMP-9), resistin, adiponectin, leptin, macrophage migration inhibitory factor (MIF), tumor necrosis factor α (TNF-α), thrompospondin 1 (TSP-1), interleukin 10 (IL-10), interleukin 6 (IL-6), and glucagon.
hsCRP, PAI-1, resistin, leptin-to-adiponection-ratio (LAR), TNF-α, TSP-1, and MIF were significantly higher in both MetS groups (prediabetic and T2DM) than in MetS-only subjects. Leptin and MMP-9 were significantly higher in the MetS-T2DM group (but not in MetS-prediabetics) vs. MetS-only subjects. Conversely adiponectin, OXT, MCP-1, and IL-10 were significantly lower in both MetS groups (prediabetic and T2DM) than in MetS-only subjects. There was no marked discrepancy in either glucagon or IL-6 levels among the three MetS groups. In the entire MetS study population, OXT correlated substantially and proportionally with MCP-1, IL-10, and IL-6; it correlated negatively with HbA1c, fasting plasma glucose (FPG), PAI-1, MMP-9, TNF-α, TSP-1, resistin, adiponectin, leptin, LAR, and MIF. No association could be observed between OXT and glucagon.
OXT may be a substantial surrogate predictive/prognostic tool and putative pharmacotherapeutic target in metabolic anomalies and related disorders.</description><identifier>ISSN: 1613-6071</identifier><identifier>EISSN: 1614-0575</identifier><identifier>DOI: 10.1900/RDS.2017.14.364</identifier><identifier>PMID: 29590229</identifier><language>eng</language><publisher>Belgium: SBDR - Society for Biomedical Diabetes Research</publisher><subject>Adult ; Biomarkers - blood ; Female ; Glucose Intolerance - blood ; Glucose Intolerance - complications ; Humans ; Inflammation - blood ; Inflammation - complications ; Inflammation Mediators - blood ; Male ; Metabolic Syndrome - blood ; Metabolic Syndrome - complications ; Middle Aged ; Original Data ; Oxytocin - blood ; Prediabetic State - blood ; Prediabetic State - complications</subject><ispartof>The review of diabetic studies, 2018, Vol.14 (4), p.364-371</ispartof><rights>Copyright © by Lab & Life Press/SBDR 2017 SBDR - Society for Biomedical Diabetes Research</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3544-834ff05a00db44617dd69c39878709704dacca75a34d31430eb5de94d57bb0b3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6230448/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6230448/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29590229$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Akour, Amal</creatorcontrib><creatorcontrib>Kasabri, Violet</creatorcontrib><creatorcontrib>Bulatova, Nailya</creatorcontrib><creatorcontrib>Al Muhaissen, Suha</creatorcontrib><creatorcontrib>Naffa, Randa</creatorcontrib><creatorcontrib>Fahmawi, Hiba</creatorcontrib><creatorcontrib>Momani, Munther</creatorcontrib><creatorcontrib>Zayed, Ayman</creatorcontrib><creatorcontrib>Bustanji, Yasser</creatorcontrib><title>Association of Oxytocin with Glucose Intolerance and Inflammation Biomarkers in Metabolic Syndrome Patients with and without Prediabetes</title><title>The review of diabetic studies</title><addtitle>Rev Diabet Stud</addtitle><description>The aim of this study was to explore the differences in OXT levels in metabolic syndrome (MetS) subjects, newly diagnosed type 2 diabetes mellitus (T2D), and prediabetes subjects vs. MetS subjects without glucose intolerance (non-diabetic MetS). It was also intended to determine the relationship between plasma OXT levels and inflammatory markers in those subjects.
Along with 45 lean and normoglycemic controls, a total of 190 MetS subjects (61 men, 129 women) were enrolled. Colorimetric enzymatic assays of the following components were performed: plasma OXT, high-sensitivity C-reactive protein (hs-CRP), macrophage chemoattractant protein 1 (MCP-1), plasminogen activator inhibitor 1 (PAI-1), matrix metalloproteinase 9 (MMP-9), resistin, adiponectin, leptin, macrophage migration inhibitory factor (MIF), tumor necrosis factor α (TNF-α), thrompospondin 1 (TSP-1), interleukin 10 (IL-10), interleukin 6 (IL-6), and glucagon.
hsCRP, PAI-1, resistin, leptin-to-adiponection-ratio (LAR), TNF-α, TSP-1, and MIF were significantly higher in both MetS groups (prediabetic and T2DM) than in MetS-only subjects. Leptin and MMP-9 were significantly higher in the MetS-T2DM group (but not in MetS-prediabetics) vs. MetS-only subjects. Conversely adiponectin, OXT, MCP-1, and IL-10 were significantly lower in both MetS groups (prediabetic and T2DM) than in MetS-only subjects. There was no marked discrepancy in either glucagon or IL-6 levels among the three MetS groups. In the entire MetS study population, OXT correlated substantially and proportionally with MCP-1, IL-10, and IL-6; it correlated negatively with HbA1c, fasting plasma glucose (FPG), PAI-1, MMP-9, TNF-α, TSP-1, resistin, adiponectin, leptin, LAR, and MIF. No association could be observed between OXT and glucagon.
OXT may be a substantial surrogate predictive/prognostic tool and putative pharmacotherapeutic target in metabolic anomalies and related disorders.</description><subject>Adult</subject><subject>Biomarkers - blood</subject><subject>Female</subject><subject>Glucose Intolerance - blood</subject><subject>Glucose Intolerance - complications</subject><subject>Humans</subject><subject>Inflammation - blood</subject><subject>Inflammation - complications</subject><subject>Inflammation Mediators - blood</subject><subject>Male</subject><subject>Metabolic Syndrome - blood</subject><subject>Metabolic Syndrome - complications</subject><subject>Middle Aged</subject><subject>Original Data</subject><subject>Oxytocin - blood</subject><subject>Prediabetic State - blood</subject><subject>Prediabetic State - complications</subject><issn>1613-6071</issn><issn>1614-0575</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkc1vFSEUxSfGxn7o2p1h6WZeLwMzDBuT2i-b1LSx3RMG7lh0Biow2vcf-GfL87WNrrg3nHM45FdVbymsqAQ4_HJys2qAihXlK9bxF9Ue7SivoRXty78zqzsQdLfaT-kbAIeW81fVbiNbCU0j96rfRykF43R2wZMwkquHdS67J79cviPn02JCQnLhc5gwam-QaG_LPk56nreujy7MOn7HmEjxfcashzA5Q27W3sYwI7kuOvQ5bTM3_s0QlkyuI1qnB8yYXlc7o54Svnk8D6rbs9Pb40_15dX5xfHRZW1Y6V73jI8jtBrADpx3VFjbScNkL3oBUgC32hgtWs24ZZQzwKG1KLltxTDAwA6qD9vY-2WY0ZrSK-pJ3UdX_rBWQTv1_413d-pr-Km6hgHnfQl4_xgQw48FU1azSwanSXsMS1KFhuwph6Yr0sOt1MSQUsTx-RkKaoNPFXwbg1CUq4KvON792-5Z_8SL_QEMFpmS</recordid><startdate>2018</startdate><enddate>2018</enddate><creator>Akour, Amal</creator><creator>Kasabri, Violet</creator><creator>Bulatova, Nailya</creator><creator>Al Muhaissen, Suha</creator><creator>Naffa, Randa</creator><creator>Fahmawi, Hiba</creator><creator>Momani, Munther</creator><creator>Zayed, Ayman</creator><creator>Bustanji, Yasser</creator><general>SBDR - Society for Biomedical Diabetes Research</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>2018</creationdate><title>Association of Oxytocin with Glucose Intolerance and Inflammation Biomarkers in Metabolic Syndrome Patients with and without Prediabetes</title><author>Akour, Amal ; Kasabri, Violet ; Bulatova, Nailya ; Al Muhaissen, Suha ; Naffa, Randa ; Fahmawi, Hiba ; Momani, Munther ; Zayed, Ayman ; Bustanji, Yasser</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3544-834ff05a00db44617dd69c39878709704dacca75a34d31430eb5de94d57bb0b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adult</topic><topic>Biomarkers - blood</topic><topic>Female</topic><topic>Glucose Intolerance - blood</topic><topic>Glucose Intolerance - complications</topic><topic>Humans</topic><topic>Inflammation - blood</topic><topic>Inflammation - complications</topic><topic>Inflammation Mediators - blood</topic><topic>Male</topic><topic>Metabolic Syndrome - blood</topic><topic>Metabolic Syndrome - complications</topic><topic>Middle Aged</topic><topic>Original Data</topic><topic>Oxytocin - blood</topic><topic>Prediabetic State - blood</topic><topic>Prediabetic State - complications</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Akour, Amal</creatorcontrib><creatorcontrib>Kasabri, Violet</creatorcontrib><creatorcontrib>Bulatova, Nailya</creatorcontrib><creatorcontrib>Al Muhaissen, Suha</creatorcontrib><creatorcontrib>Naffa, Randa</creatorcontrib><creatorcontrib>Fahmawi, Hiba</creatorcontrib><creatorcontrib>Momani, Munther</creatorcontrib><creatorcontrib>Zayed, Ayman</creatorcontrib><creatorcontrib>Bustanji, Yasser</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The review of diabetic studies</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Akour, Amal</au><au>Kasabri, Violet</au><au>Bulatova, Nailya</au><au>Al Muhaissen, Suha</au><au>Naffa, Randa</au><au>Fahmawi, Hiba</au><au>Momani, Munther</au><au>Zayed, Ayman</au><au>Bustanji, Yasser</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association of Oxytocin with Glucose Intolerance and Inflammation Biomarkers in Metabolic Syndrome Patients with and without Prediabetes</atitle><jtitle>The review of diabetic studies</jtitle><addtitle>Rev Diabet Stud</addtitle><date>2018</date><risdate>2018</risdate><volume>14</volume><issue>4</issue><spage>364</spage><epage>371</epage><pages>364-371</pages><issn>1613-6071</issn><eissn>1614-0575</eissn><abstract>The aim of this study was to explore the differences in OXT levels in metabolic syndrome (MetS) subjects, newly diagnosed type 2 diabetes mellitus (T2D), and prediabetes subjects vs. MetS subjects without glucose intolerance (non-diabetic MetS). It was also intended to determine the relationship between plasma OXT levels and inflammatory markers in those subjects.
Along with 45 lean and normoglycemic controls, a total of 190 MetS subjects (61 men, 129 women) were enrolled. Colorimetric enzymatic assays of the following components were performed: plasma OXT, high-sensitivity C-reactive protein (hs-CRP), macrophage chemoattractant protein 1 (MCP-1), plasminogen activator inhibitor 1 (PAI-1), matrix metalloproteinase 9 (MMP-9), resistin, adiponectin, leptin, macrophage migration inhibitory factor (MIF), tumor necrosis factor α (TNF-α), thrompospondin 1 (TSP-1), interleukin 10 (IL-10), interleukin 6 (IL-6), and glucagon.
hsCRP, PAI-1, resistin, leptin-to-adiponection-ratio (LAR), TNF-α, TSP-1, and MIF were significantly higher in both MetS groups (prediabetic and T2DM) than in MetS-only subjects. Leptin and MMP-9 were significantly higher in the MetS-T2DM group (but not in MetS-prediabetics) vs. MetS-only subjects. Conversely adiponectin, OXT, MCP-1, and IL-10 were significantly lower in both MetS groups (prediabetic and T2DM) than in MetS-only subjects. There was no marked discrepancy in either glucagon or IL-6 levels among the three MetS groups. In the entire MetS study population, OXT correlated substantially and proportionally with MCP-1, IL-10, and IL-6; it correlated negatively with HbA1c, fasting plasma glucose (FPG), PAI-1, MMP-9, TNF-α, TSP-1, resistin, adiponectin, leptin, LAR, and MIF. No association could be observed between OXT and glucagon.
OXT may be a substantial surrogate predictive/prognostic tool and putative pharmacotherapeutic target in metabolic anomalies and related disorders.</abstract><cop>Belgium</cop><pub>SBDR - Society for Biomedical Diabetes Research</pub><pmid>29590229</pmid><doi>10.1900/RDS.2017.14.364</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Biomarkers - blood Female Glucose Intolerance - blood Glucose Intolerance - complications Humans Inflammation - blood Inflammation - complications Inflammation Mediators - blood Male Metabolic Syndrome - blood Metabolic Syndrome - complications Middle Aged Original Data Oxytocin - blood Prediabetic State - blood Prediabetic State - complications |
| title | Association of Oxytocin with Glucose Intolerance and Inflammation Biomarkers in Metabolic Syndrome Patients with and without Prediabetes |
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