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Adiponectin, IGFBP-1 and -2 are independent predictors in forecasting prediabetes and type 2 diabetes
Adiponectin and insulin-like growth factor (IGF) binding proteins IGFBP-1 and IGFBP-2 are biomarkers of insulin sensitivity. IGFBP-1 reflects insulin sensitivity in the liver, adiponectin in adipose tissue and IGFBP-2 in both tissues. Here, we study the power of the biomarkers adiponectin, IGFBP-1,...
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Published in: | Frontiers in endocrinology (Lausanne) 2023-01, Vol.13, p.1092307-1092307 |
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description | Adiponectin and insulin-like growth factor (IGF) binding proteins IGFBP-1 and IGFBP-2 are biomarkers of insulin sensitivity. IGFBP-1 reflects insulin sensitivity in the liver, adiponectin in adipose tissue and IGFBP-2 in both tissues. Here, we study the power of the biomarkers adiponectin, IGFBP-1, IGFBP-2, and also included IGF-I and IGF-II, in predicting prediabetes and type 2 diabetes (T2D) in men and women with normal oral glucose tolerance (NGT).
Subjects with NGT (35-56 years) recruited during 1992-1998 were re-investigated 8-10 years later. In a nested case control study, subjects progressing to prediabetes (133 women, 164 men) or to T2D (55 women, 98 men) were compared with age and sex matched NGT controls (200 women and 277 men).
The evaluation included questionnaires, health status, anthropometry, biochemistry and oral glucose tolerance test.
After adjustment, the lowest quartile of adiponectin, IGFBP-1 and IGFBP-2 associated independently with future abnormal glucose tolerance (AGT) in both genders in multivariate analyses. High IGFs predicted weakly AGT in women. In women, low IGFBP-2 was the strongest predictor for prediabetes (OR:7.5), and low adiponectin for T2D (OR:29.4). In men, low IGFBP-1 was the strongest predictor for both prediabetes (OR:13.4) and T2D (OR:14.9). When adiponectin, IGFBP-1 and IGFBP-2 were combined, the ROC-AUC reached 0.87 for women and 0.79 for men, higher than for BMI alone.
Differences were observed comparing adipocyte- and hepatocyte-derived biomarkers in forecasting AGT in NGT subjects. In women the strongest predictor for T2D was adiponectin and in men IGFBP-1, and for prediabetes IGFBP-2 in women and IGFBP-1 in men. |
doi_str_mv | 10.3389/fendo.2022.1092307 |
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Subjects with NGT (35-56 years) recruited during 1992-1998 were re-investigated 8-10 years later. In a nested case control study, subjects progressing to prediabetes (133 women, 164 men) or to T2D (55 women, 98 men) were compared with age and sex matched NGT controls (200 women and 277 men).
The evaluation included questionnaires, health status, anthropometry, biochemistry and oral glucose tolerance test.
After adjustment, the lowest quartile of adiponectin, IGFBP-1 and IGFBP-2 associated independently with future abnormal glucose tolerance (AGT) in both genders in multivariate analyses. High IGFs predicted weakly AGT in women. In women, low IGFBP-2 was the strongest predictor for prediabetes (OR:7.5), and low adiponectin for T2D (OR:29.4). In men, low IGFBP-1 was the strongest predictor for both prediabetes (OR:13.4) and T2D (OR:14.9). When adiponectin, IGFBP-1 and IGFBP-2 were combined, the ROC-AUC reached 0.87 for women and 0.79 for men, higher than for BMI alone.
Differences were observed comparing adipocyte- and hepatocyte-derived biomarkers in forecasting AGT in NGT subjects. In women the strongest predictor for T2D was adiponectin and in men IGFBP-1, and for prediabetes IGFBP-2 in women and IGFBP-1 in men.</description><identifier>ISSN: 1664-2392</identifier><identifier>EISSN: 1664-2392</identifier><identifier>DOI: 10.3389/fendo.2022.1092307</identifier><identifier>PMID: 36686443</identifier><language>eng</language><publisher>Switzerland: Frontiers Media S.A</publisher><subject>abnormal glucose tolerance ; adiponectin ; Adiponectin - metabolism ; Biomarkers ; Case-Control Studies ; Diabetes Mellitus, Type 2 - diagnosis ; Diabetes Mellitus, Type 2 - epidemiology ; Diabetes Mellitus, Type 2 - metabolism ; Endocrinology ; Female ; Glucose Intolerance ; Humans ; IGFBP-1 ; IGFBP-2 ; Insulin Resistance ; Insulin-Like Growth Factor Binding Protein 1 - metabolism ; Insulin-Like Growth Factor Binding Protein 2 ; Male ; Medicin och hälsovetenskap ; Prediabetic State - diagnosis ; Prediabetic State - epidemiology ; prospective study</subject><ispartof>Frontiers in endocrinology (Lausanne), 2023-01, Vol.13, p.1092307-1092307</ispartof><rights>Copyright © 2023 Brismar, Hilding, Ansurudeen, Flyvbjerg, Frystyk and Östenson.</rights><rights>Copyright © 2023 Brismar, Hilding, Ansurudeen, Flyvbjerg, Frystyk and Östenson 2023 Brismar, Hilding, Ansurudeen, Flyvbjerg, Frystyk and Östenson</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c556t-dc31b7ffe1fc90b767bb16dd6dad2afaed47e2936ee90d52cd8249ef6a13fc743</citedby><cites>FETCH-LOGICAL-c556t-dc31b7ffe1fc90b767bb16dd6dad2afaed47e2936ee90d52cd8249ef6a13fc743</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849561/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849561/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36686443$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:151822085$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Brismar, Kerstin</creatorcontrib><creatorcontrib>Hilding, Agneta</creatorcontrib><creatorcontrib>Ansurudeen, Ishrath</creatorcontrib><creatorcontrib>Flyvbjerg, Allan</creatorcontrib><creatorcontrib>Frystyk, Jan</creatorcontrib><creatorcontrib>Östenson, Claes-Göran</creatorcontrib><title>Adiponectin, IGFBP-1 and -2 are independent predictors in forecasting prediabetes and type 2 diabetes</title><title>Frontiers in endocrinology (Lausanne)</title><addtitle>Front Endocrinol (Lausanne)</addtitle><description>Adiponectin and insulin-like growth factor (IGF) binding proteins IGFBP-1 and IGFBP-2 are biomarkers of insulin sensitivity. IGFBP-1 reflects insulin sensitivity in the liver, adiponectin in adipose tissue and IGFBP-2 in both tissues. Here, we study the power of the biomarkers adiponectin, IGFBP-1, IGFBP-2, and also included IGF-I and IGF-II, in predicting prediabetes and type 2 diabetes (T2D) in men and women with normal oral glucose tolerance (NGT).
Subjects with NGT (35-56 years) recruited during 1992-1998 were re-investigated 8-10 years later. In a nested case control study, subjects progressing to prediabetes (133 women, 164 men) or to T2D (55 women, 98 men) were compared with age and sex matched NGT controls (200 women and 277 men).
The evaluation included questionnaires, health status, anthropometry, biochemistry and oral glucose tolerance test.
After adjustment, the lowest quartile of adiponectin, IGFBP-1 and IGFBP-2 associated independently with future abnormal glucose tolerance (AGT) in both genders in multivariate analyses. High IGFs predicted weakly AGT in women. In women, low IGFBP-2 was the strongest predictor for prediabetes (OR:7.5), and low adiponectin for T2D (OR:29.4). In men, low IGFBP-1 was the strongest predictor for both prediabetes (OR:13.4) and T2D (OR:14.9). When adiponectin, IGFBP-1 and IGFBP-2 were combined, the ROC-AUC reached 0.87 for women and 0.79 for men, higher than for BMI alone.
Differences were observed comparing adipocyte- and hepatocyte-derived biomarkers in forecasting AGT in NGT subjects. In women the strongest predictor for T2D was adiponectin and in men IGFBP-1, and for prediabetes IGFBP-2 in women and IGFBP-1 in men.</description><subject>abnormal glucose tolerance</subject><subject>adiponectin</subject><subject>Adiponectin - metabolism</subject><subject>Biomarkers</subject><subject>Case-Control Studies</subject><subject>Diabetes Mellitus, Type 2 - diagnosis</subject><subject>Diabetes Mellitus, Type 2 - epidemiology</subject><subject>Diabetes Mellitus, Type 2 - metabolism</subject><subject>Endocrinology</subject><subject>Female</subject><subject>Glucose Intolerance</subject><subject>Humans</subject><subject>IGFBP-1</subject><subject>IGFBP-2</subject><subject>Insulin Resistance</subject><subject>Insulin-Like Growth Factor Binding Protein 1 - metabolism</subject><subject>Insulin-Like Growth Factor Binding Protein 2</subject><subject>Male</subject><subject>Medicin och hälsovetenskap</subject><subject>Prediabetic State - diagnosis</subject><subject>Prediabetic State - epidemiology</subject><subject>prospective study</subject><issn>1664-2392</issn><issn>1664-2392</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp1Uk1vEzEQXSEQrUr_AAe0Rw5s8Nf644JUKloiVYIDnC2vZxy2JOvF3oD673GySWkO-OLRm_fejEavql5TsuBcm_cBB4gLRhhbUGIYJ-pZdU6lFA3jhj1_Up9Vlznfk_IEocbol9UZl1JLIfh5hVfQj3FAP_XDu3p5e_Pxa0NrN0DdsNolrPsBcCyzcJjqMSH0foopF7gOMaF3uQhXc8d1OGHei6eHEWtWH7FX1Yvg1hkvD_9F9f3m07frz83dl9vl9dVd49tWTg14TjsVAtLgDemUVF1HJYAEB8wFhyAUMsMloiHQMg-aCYNBOsqDV4JfVMvZF6K7t2PqNy492Oh6uwdiWlmXpt6v0WrvO8U9Nw64IIAaFaFBKek7QEq74tXMXvkPjtvuxO0A_SwVWiHKFrzwzX_5Y4rwT3QU0pZqxohui_bDrC2EDYIvx05ufWpx0hn6H3YVf1ujhWklLQZvDwYp_tpinuymzx7Xazdg3GbLlNSacsp3N2Iz1aeYc8LwOIYSu4uW3UfL7qJlD9EqojdPF3yUHIPE_wK4VM5q</recordid><startdate>20230105</startdate><enddate>20230105</enddate><creator>Brismar, Kerstin</creator><creator>Hilding, Agneta</creator><creator>Ansurudeen, Ishrath</creator><creator>Flyvbjerg, Allan</creator><creator>Frystyk, Jan</creator><creator>Östenson, Claes-Göran</creator><general>Frontiers Media S.A</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><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>ZZAVC</scope><scope>DOA</scope></search><sort><creationdate>20230105</creationdate><title>Adiponectin, IGFBP-1 and -2 are independent predictors in forecasting prediabetes and type 2 diabetes</title><author>Brismar, Kerstin ; Hilding, Agneta ; Ansurudeen, Ishrath ; Flyvbjerg, Allan ; Frystyk, Jan ; Östenson, Claes-Göran</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c556t-dc31b7ffe1fc90b767bb16dd6dad2afaed47e2936ee90d52cd8249ef6a13fc743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>abnormal glucose tolerance</topic><topic>adiponectin</topic><topic>Adiponectin - metabolism</topic><topic>Biomarkers</topic><topic>Case-Control Studies</topic><topic>Diabetes Mellitus, Type 2 - diagnosis</topic><topic>Diabetes Mellitus, Type 2 - epidemiology</topic><topic>Diabetes Mellitus, Type 2 - metabolism</topic><topic>Endocrinology</topic><topic>Female</topic><topic>Glucose Intolerance</topic><topic>Humans</topic><topic>IGFBP-1</topic><topic>IGFBP-2</topic><topic>Insulin Resistance</topic><topic>Insulin-Like Growth Factor Binding Protein 1 - metabolism</topic><topic>Insulin-Like Growth Factor Binding Protein 2</topic><topic>Male</topic><topic>Medicin och hälsovetenskap</topic><topic>Prediabetic State - diagnosis</topic><topic>Prediabetic State - epidemiology</topic><topic>prospective study</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brismar, Kerstin</creatorcontrib><creatorcontrib>Hilding, Agneta</creatorcontrib><creatorcontrib>Ansurudeen, Ishrath</creatorcontrib><creatorcontrib>Flyvbjerg, Allan</creatorcontrib><creatorcontrib>Frystyk, Jan</creatorcontrib><creatorcontrib>Östenson, Claes-Göran</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><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Frontiers in endocrinology (Lausanne)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brismar, Kerstin</au><au>Hilding, Agneta</au><au>Ansurudeen, Ishrath</au><au>Flyvbjerg, Allan</au><au>Frystyk, Jan</au><au>Östenson, Claes-Göran</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adiponectin, IGFBP-1 and -2 are independent predictors in forecasting prediabetes and type 2 diabetes</atitle><jtitle>Frontiers in endocrinology (Lausanne)</jtitle><addtitle>Front Endocrinol (Lausanne)</addtitle><date>2023-01-05</date><risdate>2023</risdate><volume>13</volume><spage>1092307</spage><epage>1092307</epage><pages>1092307-1092307</pages><issn>1664-2392</issn><eissn>1664-2392</eissn><abstract>Adiponectin and insulin-like growth factor (IGF) binding proteins IGFBP-1 and IGFBP-2 are biomarkers of insulin sensitivity. IGFBP-1 reflects insulin sensitivity in the liver, adiponectin in adipose tissue and IGFBP-2 in both tissues. Here, we study the power of the biomarkers adiponectin, IGFBP-1, IGFBP-2, and also included IGF-I and IGF-II, in predicting prediabetes and type 2 diabetes (T2D) in men and women with normal oral glucose tolerance (NGT).
Subjects with NGT (35-56 years) recruited during 1992-1998 were re-investigated 8-10 years later. In a nested case control study, subjects progressing to prediabetes (133 women, 164 men) or to T2D (55 women, 98 men) were compared with age and sex matched NGT controls (200 women and 277 men).
The evaluation included questionnaires, health status, anthropometry, biochemistry and oral glucose tolerance test.
After adjustment, the lowest quartile of adiponectin, IGFBP-1 and IGFBP-2 associated independently with future abnormal glucose tolerance (AGT) in both genders in multivariate analyses. High IGFs predicted weakly AGT in women. In women, low IGFBP-2 was the strongest predictor for prediabetes (OR:7.5), and low adiponectin for T2D (OR:29.4). In men, low IGFBP-1 was the strongest predictor for both prediabetes (OR:13.4) and T2D (OR:14.9). When adiponectin, IGFBP-1 and IGFBP-2 were combined, the ROC-AUC reached 0.87 for women and 0.79 for men, higher than for BMI alone.
Differences were observed comparing adipocyte- and hepatocyte-derived biomarkers in forecasting AGT in NGT subjects. In women the strongest predictor for T2D was adiponectin and in men IGFBP-1, and for prediabetes IGFBP-2 in women and IGFBP-1 in men.</abstract><cop>Switzerland</cop><pub>Frontiers Media S.A</pub><pmid>36686443</pmid><doi>10.3389/fendo.2022.1092307</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | abnormal glucose tolerance adiponectin Adiponectin - metabolism Biomarkers Case-Control Studies Diabetes Mellitus, Type 2 - diagnosis Diabetes Mellitus, Type 2 - epidemiology Diabetes Mellitus, Type 2 - metabolism Endocrinology Female Glucose Intolerance Humans IGFBP-1 IGFBP-2 Insulin Resistance Insulin-Like Growth Factor Binding Protein 1 - metabolism Insulin-Like Growth Factor Binding Protein 2 Male Medicin och hälsovetenskap Prediabetic State - diagnosis Prediabetic State - epidemiology prospective study |
title | Adiponectin, IGFBP-1 and -2 are independent predictors in forecasting prediabetes and type 2 diabetes |
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