Loading…
Association of Serum Adiponectin Biomarker with Metabolic Syndrome Components in Koreans with Extremely High HDL Cholesterol Levels in General Health Checkup
Adiponectin and high-density lipoprotein cholesterol (HDL-C) are negative predictors for cardio-metabolic disorders. This study explored adiponectin's role in predicting multiple metabolic syndrome components (multi-MetSC) in subjects with extremely high HDL-C levels overall and by sex. We enro...
Saved in:
Published in: | Metabolites 2022-11, Vol.12 (11), p.1086 |
---|---|
Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-c506t-562bda0275ec0e0d1d1b7f6f7ebdaf04b829496f9fb7dec7a565dc0384e549133 |
container_end_page | |
container_issue | 11 |
container_start_page | 1086 |
container_title | Metabolites |
container_volume | 12 |
creator | Yang, Hyun Suk Lee, Gun-Hyuk Kim, Donghwan Lee, Kyeong Ryong Hur, Mina |
description | Adiponectin and high-density lipoprotein cholesterol (HDL-C) are negative predictors for cardio-metabolic disorders. This study explored adiponectin's role in predicting multiple metabolic syndrome components (multi-MetSC) in subjects with extremely high HDL-C levels overall and by sex. We enrolled adults with extremely high HDL-C levels (≥90 mg/dL) in general health checkups and compared adiponectin levels in subjects with and without multi-MetSC. Among 274 subjects (median 44 years, female 79.6%), 19 (6.9%) had a multi-MetSC. The adiponectin level was significantly lower in subjects with multi-MetSC than without (females: 9.2 [6.2-13.3] vs. 12.0 [9.7-15.9] µg/mL,
= 0.039; males: 6.9 ± 2.4 vs. 10.0 ± 5.2 µg/mL,
= 0.013). The optimal cutoff values to predict multi-MetSC were 9.7 µg/mL (sensitivity 64%, specificity 74%) in females and 9.6 µg/mL (sensitivity 100%, specificity 44%) in males. Compared with the high adiponectin group, the low group revealed higher fasting glucose in females and higher waist circumference, visceral fat area, and HDL-C levels in males. Multiple logistic regression analysis confirmed adiponectin as an independent predictor of multi-MetSC (OR 0.85, 95% CI 0.71-0.97). Adiponectin could be a potential biomarker for multi-MetSC in general health checkup subjects with extremely high HDL-C levels. There were sex differences in the metabolic risk factors between low and high adiponectin groups. |
doi_str_mv | 10.3390/metabo12111086 |
format | article |
fullrecord | <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_6db5da6824dd4e1fb761baa98133f7b9</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A745885922</galeid><doaj_id>oai_doaj_org_article_6db5da6824dd4e1fb761baa98133f7b9</doaj_id><sourcerecordid>A745885922</sourcerecordid><originalsourceid>FETCH-LOGICAL-c506t-562bda0275ec0e0d1d1b7f6f7ebdaf04b829496f9fb7dec7a565dc0384e549133</originalsourceid><addsrcrecordid>eNptksFuEzEQhlcIRKvSK0dkiQuXFHt37V1fkEJamoogDoWz5bVnE6e7drB3C3kY3pVJWkqDah9sjb_5R_94suw1o2dFIen7HgbdBJYzxmgtnmXHec7qCZO1fP7ofpSdprSmuATlFWUvs6NCFJwzIY-z39OUgnF6cMGT0JJriGNPptZtggczOE8-utDreAOR_HTDinzZ1-ycIddbb2PogcxCv6P9kAjyn0ME7dMdffFriNBDtyVzt1yR-fmCzFahgzRADB1ZwC10-6xL8BB1R-agO8ybrcDcjJtX2YtWdwlO78-T7Puni2-z-WTx9fJqNl1MDKdimHCRN1bTvOJgKFDLLGuqVrQVYLilZVPnspSilW1TWTCV5oJbQ4u6BF5KVhQn2dWdrg16rTbRoeOtCtqpfSDEpdJxcKYDJWzDrRZ1XlpbAkNFwRqtZY0ybdVI1Ppwp7UZmx6swb6gsQPRwxfvVmoZbpUUsizzHAXe3QvE8GPEVqneJQNdpz2EMam8KvDvalZSRN_-h67DGD22CqkSXQtR83_UUqMB59uAdc1OVE2rktc1l_uyZ09QuC30zuD_tg7jTyWYGFKK0D54ZFTt5lMdzicmvHncmQf87zQWfwCqueNt</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2748296685</pqid></control><display><type>article</type><title>Association of Serum Adiponectin Biomarker with Metabolic Syndrome Components in Koreans with Extremely High HDL Cholesterol Levels in General Health Checkup</title><source>Open Access: PubMed Central</source><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><creator>Yang, Hyun Suk ; Lee, Gun-Hyuk ; Kim, Donghwan ; Lee, Kyeong Ryong ; Hur, Mina</creator><creatorcontrib>Yang, Hyun Suk ; Lee, Gun-Hyuk ; Kim, Donghwan ; Lee, Kyeong Ryong ; Hur, Mina</creatorcontrib><description>Adiponectin and high-density lipoprotein cholesterol (HDL-C) are negative predictors for cardio-metabolic disorders. This study explored adiponectin's role in predicting multiple metabolic syndrome components (multi-MetSC) in subjects with extremely high HDL-C levels overall and by sex. We enrolled adults with extremely high HDL-C levels (≥90 mg/dL) in general health checkups and compared adiponectin levels in subjects with and without multi-MetSC. Among 274 subjects (median 44 years, female 79.6%), 19 (6.9%) had a multi-MetSC. The adiponectin level was significantly lower in subjects with multi-MetSC than without (females: 9.2 [6.2-13.3] vs. 12.0 [9.7-15.9] µg/mL,
= 0.039; males: 6.9 ± 2.4 vs. 10.0 ± 5.2 µg/mL,
= 0.013). The optimal cutoff values to predict multi-MetSC were 9.7 µg/mL (sensitivity 64%, specificity 74%) in females and 9.6 µg/mL (sensitivity 100%, specificity 44%) in males. Compared with the high adiponectin group, the low group revealed higher fasting glucose in females and higher waist circumference, visceral fat area, and HDL-C levels in males. Multiple logistic regression analysis confirmed adiponectin as an independent predictor of multi-MetSC (OR 0.85, 95% CI 0.71-0.97). Adiponectin could be a potential biomarker for multi-MetSC in general health checkup subjects with extremely high HDL-C levels. There were sex differences in the metabolic risk factors between low and high adiponectin groups.</description><identifier>ISSN: 2218-1989</identifier><identifier>EISSN: 2218-1989</identifier><identifier>DOI: 10.3390/metabo12111086</identifier><identifier>PMID: 36355169</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adiponectin ; Analysis ; Biological markers ; Biomarkers ; Body composition ; Body fat ; Body mass index ; Cardiovascular diseases ; Care and treatment ; Cholesterol ; Cholesterol, HDL ; Diabetes ; Diagnosis ; Females ; Health aspects ; High density lipoprotein ; Insulin resistance ; Laboratories ; Lipoproteins ; Males ; Metabolic disorders ; Metabolic syndrome ; Metabolic syndrome X ; Regression analysis ; Risk factors ; Sex differences ; Statistical analysis ; Triglycerides ; Womens health</subject><ispartof>Metabolites, 2022-11, Vol.12 (11), p.1086</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c506t-562bda0275ec0e0d1d1b7f6f7ebdaf04b829496f9fb7dec7a565dc0384e549133</cites><orcidid>0000-0002-4429-9978 ; 0000-0002-7056-3648</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2748296685/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2748296685?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36355169$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yang, Hyun Suk</creatorcontrib><creatorcontrib>Lee, Gun-Hyuk</creatorcontrib><creatorcontrib>Kim, Donghwan</creatorcontrib><creatorcontrib>Lee, Kyeong Ryong</creatorcontrib><creatorcontrib>Hur, Mina</creatorcontrib><title>Association of Serum Adiponectin Biomarker with Metabolic Syndrome Components in Koreans with Extremely High HDL Cholesterol Levels in General Health Checkup</title><title>Metabolites</title><addtitle>Metabolites</addtitle><description>Adiponectin and high-density lipoprotein cholesterol (HDL-C) are negative predictors for cardio-metabolic disorders. This study explored adiponectin's role in predicting multiple metabolic syndrome components (multi-MetSC) in subjects with extremely high HDL-C levels overall and by sex. We enrolled adults with extremely high HDL-C levels (≥90 mg/dL) in general health checkups and compared adiponectin levels in subjects with and without multi-MetSC. Among 274 subjects (median 44 years, female 79.6%), 19 (6.9%) had a multi-MetSC. The adiponectin level was significantly lower in subjects with multi-MetSC than without (females: 9.2 [6.2-13.3] vs. 12.0 [9.7-15.9] µg/mL,
= 0.039; males: 6.9 ± 2.4 vs. 10.0 ± 5.2 µg/mL,
= 0.013). The optimal cutoff values to predict multi-MetSC were 9.7 µg/mL (sensitivity 64%, specificity 74%) in females and 9.6 µg/mL (sensitivity 100%, specificity 44%) in males. Compared with the high adiponectin group, the low group revealed higher fasting glucose in females and higher waist circumference, visceral fat area, and HDL-C levels in males. Multiple logistic regression analysis confirmed adiponectin as an independent predictor of multi-MetSC (OR 0.85, 95% CI 0.71-0.97). Adiponectin could be a potential biomarker for multi-MetSC in general health checkup subjects with extremely high HDL-C levels. There were sex differences in the metabolic risk factors between low and high adiponectin groups.</description><subject>Adiponectin</subject><subject>Analysis</subject><subject>Biological markers</subject><subject>Biomarkers</subject><subject>Body composition</subject><subject>Body fat</subject><subject>Body mass index</subject><subject>Cardiovascular diseases</subject><subject>Care and treatment</subject><subject>Cholesterol</subject><subject>Cholesterol, HDL</subject><subject>Diabetes</subject><subject>Diagnosis</subject><subject>Females</subject><subject>Health aspects</subject><subject>High density lipoprotein</subject><subject>Insulin resistance</subject><subject>Laboratories</subject><subject>Lipoproteins</subject><subject>Males</subject><subject>Metabolic disorders</subject><subject>Metabolic syndrome</subject><subject>Metabolic syndrome X</subject><subject>Regression analysis</subject><subject>Risk factors</subject><subject>Sex differences</subject><subject>Statistical analysis</subject><subject>Triglycerides</subject><subject>Womens health</subject><issn>2218-1989</issn><issn>2218-1989</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptksFuEzEQhlcIRKvSK0dkiQuXFHt37V1fkEJamoogDoWz5bVnE6e7drB3C3kY3pVJWkqDah9sjb_5R_94suw1o2dFIen7HgbdBJYzxmgtnmXHec7qCZO1fP7ofpSdprSmuATlFWUvs6NCFJwzIY-z39OUgnF6cMGT0JJriGNPptZtggczOE8-utDreAOR_HTDinzZ1-ycIddbb2PogcxCv6P9kAjyn0ME7dMdffFriNBDtyVzt1yR-fmCzFahgzRADB1ZwC10-6xL8BB1R-agO8ybrcDcjJtX2YtWdwlO78-T7Puni2-z-WTx9fJqNl1MDKdimHCRN1bTvOJgKFDLLGuqVrQVYLilZVPnspSilW1TWTCV5oJbQ4u6BF5KVhQn2dWdrg16rTbRoeOtCtqpfSDEpdJxcKYDJWzDrRZ1XlpbAkNFwRqtZY0ybdVI1Ppwp7UZmx6swb6gsQPRwxfvVmoZbpUUsizzHAXe3QvE8GPEVqneJQNdpz2EMam8KvDvalZSRN_-h67DGD22CqkSXQtR83_UUqMB59uAdc1OVE2rktc1l_uyZ09QuC30zuD_tg7jTyWYGFKK0D54ZFTt5lMdzicmvHncmQf87zQWfwCqueNt</recordid><startdate>20221101</startdate><enddate>20221101</enddate><creator>Yang, Hyun Suk</creator><creator>Lee, Gun-Hyuk</creator><creator>Kim, Donghwan</creator><creator>Lee, Kyeong Ryong</creator><creator>Hur, Mina</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QR</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-4429-9978</orcidid><orcidid>https://orcid.org/0000-0002-7056-3648</orcidid></search><sort><creationdate>20221101</creationdate><title>Association of Serum Adiponectin Biomarker with Metabolic Syndrome Components in Koreans with Extremely High HDL Cholesterol Levels in General Health Checkup</title><author>Yang, Hyun Suk ; Lee, Gun-Hyuk ; Kim, Donghwan ; Lee, Kyeong Ryong ; Hur, Mina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c506t-562bda0275ec0e0d1d1b7f6f7ebdaf04b829496f9fb7dec7a565dc0384e549133</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adiponectin</topic><topic>Analysis</topic><topic>Biological markers</topic><topic>Biomarkers</topic><topic>Body composition</topic><topic>Body fat</topic><topic>Body mass index</topic><topic>Cardiovascular diseases</topic><topic>Care and treatment</topic><topic>Cholesterol</topic><topic>Cholesterol, HDL</topic><topic>Diabetes</topic><topic>Diagnosis</topic><topic>Females</topic><topic>Health aspects</topic><topic>High density lipoprotein</topic><topic>Insulin resistance</topic><topic>Laboratories</topic><topic>Lipoproteins</topic><topic>Males</topic><topic>Metabolic disorders</topic><topic>Metabolic syndrome</topic><topic>Metabolic syndrome X</topic><topic>Regression analysis</topic><topic>Risk factors</topic><topic>Sex differences</topic><topic>Statistical analysis</topic><topic>Triglycerides</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Hyun Suk</creatorcontrib><creatorcontrib>Lee, Gun-Hyuk</creatorcontrib><creatorcontrib>Kim, Donghwan</creatorcontrib><creatorcontrib>Lee, Kyeong Ryong</creatorcontrib><creatorcontrib>Hur, Mina</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Chemoreception Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Metabolites</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Hyun Suk</au><au>Lee, Gun-Hyuk</au><au>Kim, Donghwan</au><au>Lee, Kyeong Ryong</au><au>Hur, Mina</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association of Serum Adiponectin Biomarker with Metabolic Syndrome Components in Koreans with Extremely High HDL Cholesterol Levels in General Health Checkup</atitle><jtitle>Metabolites</jtitle><addtitle>Metabolites</addtitle><date>2022-11-01</date><risdate>2022</risdate><volume>12</volume><issue>11</issue><spage>1086</spage><pages>1086-</pages><issn>2218-1989</issn><eissn>2218-1989</eissn><abstract>Adiponectin and high-density lipoprotein cholesterol (HDL-C) are negative predictors for cardio-metabolic disorders. This study explored adiponectin's role in predicting multiple metabolic syndrome components (multi-MetSC) in subjects with extremely high HDL-C levels overall and by sex. We enrolled adults with extremely high HDL-C levels (≥90 mg/dL) in general health checkups and compared adiponectin levels in subjects with and without multi-MetSC. Among 274 subjects (median 44 years, female 79.6%), 19 (6.9%) had a multi-MetSC. The adiponectin level was significantly lower in subjects with multi-MetSC than without (females: 9.2 [6.2-13.3] vs. 12.0 [9.7-15.9] µg/mL,
= 0.039; males: 6.9 ± 2.4 vs. 10.0 ± 5.2 µg/mL,
= 0.013). The optimal cutoff values to predict multi-MetSC were 9.7 µg/mL (sensitivity 64%, specificity 74%) in females and 9.6 µg/mL (sensitivity 100%, specificity 44%) in males. Compared with the high adiponectin group, the low group revealed higher fasting glucose in females and higher waist circumference, visceral fat area, and HDL-C levels in males. Multiple logistic regression analysis confirmed adiponectin as an independent predictor of multi-MetSC (OR 0.85, 95% CI 0.71-0.97). Adiponectin could be a potential biomarker for multi-MetSC in general health checkup subjects with extremely high HDL-C levels. There were sex differences in the metabolic risk factors between low and high adiponectin groups.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>36355169</pmid><doi>10.3390/metabo12111086</doi><orcidid>https://orcid.org/0000-0002-4429-9978</orcidid><orcidid>https://orcid.org/0000-0002-7056-3648</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2218-1989 |
ispartof | Metabolites, 2022-11, Vol.12 (11), p.1086 |
issn | 2218-1989 2218-1989 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_6db5da6824dd4e1fb761baa98133f7b9 |
source | Open Access: PubMed Central; Publicly Available Content Database (Proquest) (PQ_SDU_P3) |
subjects | Adiponectin Analysis Biological markers Biomarkers Body composition Body fat Body mass index Cardiovascular diseases Care and treatment Cholesterol Cholesterol, HDL Diabetes Diagnosis Females Health aspects High density lipoprotein Insulin resistance Laboratories Lipoproteins Males Metabolic disorders Metabolic syndrome Metabolic syndrome X Regression analysis Risk factors Sex differences Statistical analysis Triglycerides Womens health |
title | Association of Serum Adiponectin Biomarker with Metabolic Syndrome Components in Koreans with Extremely High HDL Cholesterol Levels in General Health Checkup |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T11%3A37%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Association%20of%20Serum%20Adiponectin%20Biomarker%20with%20Metabolic%20Syndrome%20Components%20in%20Koreans%20with%20Extremely%20High%20HDL%20Cholesterol%20Levels%20in%20General%20Health%20Checkup&rft.jtitle=Metabolites&rft.au=Yang,%20Hyun%20Suk&rft.date=2022-11-01&rft.volume=12&rft.issue=11&rft.spage=1086&rft.pages=1086-&rft.issn=2218-1989&rft.eissn=2218-1989&rft_id=info:doi/10.3390/metabo12111086&rft_dat=%3Cgale_doaj_%3EA745885922%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c506t-562bda0275ec0e0d1d1b7f6f7ebdaf04b829496f9fb7dec7a565dc0384e549133%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2748296685&rft_id=info:pmid/36355169&rft_galeid=A745885922&rfr_iscdi=true |