Plasma Transthyretin Levels and Risk of Type 2 Diabetes Mellitus and Impaired Glucose Regulation in a Chinese Population
Plasma transthyretin may be engaged in glucose regulation. We aimed to investigate the association between plasma transthyretin levels and the risk of newly diagnosed T2DM and impaired glucose regulation (IGR) in a Chinese population. We conducted a case-control study including 1244 newly diagnosed...
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| Veröffentlicht in: | Nutrients 2022-07, Vol.14 (14), p.2953 |
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| description | Plasma transthyretin may be engaged in glucose regulation. We aimed to investigate the association between plasma transthyretin levels and the risk of newly diagnosed T2DM and impaired glucose regulation (IGR) in a Chinese population. We conducted a case-control study including 1244 newly diagnosed T2DM patients, 837 newly diagnosed IGR patients, and 1244 individuals with normal glucose tolerance (NGT) matched by sex and age. Multivariate logistic regression analysis was utilized to estimate the independent association of plasma transthyretin concentrations with the risk of T2DM and IGR. Plasma transthyretin concentrations were significantly higher in T2DM and IGR patients compared with control subjects (p < 0.005). After multiple adjustment and comparison with the lowest quartile of plasma transthyretin concentrations, the odds ratios (95% confidence intervals) of T2DM and IGR in the highest quartile were 2.22 (1.66, 2.98) and 2.29 (1.72, 3.05), respectively. Plasma transthyretin concentrations also showed a great performance in predicting the risk of T2DM (AUC: 0.76). Moreover, a potential nonlinear trend was observed. Our results demonstrated that higher plasma transthyretin concentrations, especially more than 290 mg/L, were associated with an increased risk of T2DM and IGR. Further studies are warranted to confirm our findings and elucidate the potential mechanisms. |
| doi_str_mv | 10.3390/nu14142953 |
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We aimed to investigate the association between plasma transthyretin levels and the risk of newly diagnosed T2DM and impaired glucose regulation (IGR) in a Chinese population. We conducted a case-control study including 1244 newly diagnosed T2DM patients, 837 newly diagnosed IGR patients, and 1244 individuals with normal glucose tolerance (NGT) matched by sex and age. Multivariate logistic regression analysis was utilized to estimate the independent association of plasma transthyretin concentrations with the risk of T2DM and IGR. Plasma transthyretin concentrations were significantly higher in T2DM and IGR patients compared with control subjects (p < 0.005). After multiple adjustment and comparison with the lowest quartile of plasma transthyretin concentrations, the odds ratios (95% confidence intervals) of T2DM and IGR in the highest quartile were 2.22 (1.66, 2.98) and 2.29 (1.72, 3.05), respectively. Plasma transthyretin concentrations also showed a great performance in predicting the risk of T2DM (AUC: 0.76). Moreover, a potential nonlinear trend was observed. Our results demonstrated that higher plasma transthyretin concentrations, especially more than 290 mg/L, were associated with an increased risk of T2DM and IGR. Further studies are warranted to confirm our findings and elucidate the potential mechanisms.</description><identifier>ISSN: 2072-6643</identifier><identifier>EISSN: 2072-6643</identifier><identifier>DOI: 10.3390/nu14142953</identifier><identifier>PMID: 35889910</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Age ; Blood Glucose - analysis ; Body mass index ; Case-Control Studies ; China - epidemiology ; Cholesterol ; Confidence intervals ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (non-insulin dependent) ; Diabetes Mellitus, Type 2 - epidemiology ; Family medical history ; Glucose ; Glucose Intolerance - epidemiology ; Glucose tolerance ; Health risks ; High density lipoprotein ; Homeostasis ; Hospitals ; Humans ; Hypertension ; Insulin resistance ; Lipoproteins ; Nutritional status ; Plasma ; Population ; Prealbumin - analysis ; Proteins ; Regression analysis ; Risk ; Statistical analysis ; Transthyretin</subject><ispartof>Nutrients, 2022-07, Vol.14 (14), p.2953</ispartof><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><citedby>FETCH-LOGICAL-c406t-eb64cf9f500643f59a2d874ed24ad4bf8035ab7519f8aa47787fc7fa6f4086213</citedby><cites>FETCH-LOGICAL-c406t-eb64cf9f500643f59a2d874ed24ad4bf8035ab7519f8aa47787fc7fa6f4086213</cites><orcidid>0000-0002-7029-1224 ; 0000-0002-8561-7872 ; 0000-0002-4019-2743</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9321865/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9321865/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,883,27911,27912,53778,53780</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35889910$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hu, Xiaoli</creatorcontrib><creatorcontrib>Guo, Qianqian</creatorcontrib><creatorcontrib>Wang, Xiaoqian</creatorcontrib><creatorcontrib>Wang, Qiang</creatorcontrib><creatorcontrib>Chen, Liangkai</creatorcontrib><creatorcontrib>Sun, Taoping</creatorcontrib><creatorcontrib>Li, Peiyun</creatorcontrib><creatorcontrib>Shan, Zhilei</creatorcontrib><creatorcontrib>Liu, Liegang</creatorcontrib><creatorcontrib>Gao, Chao</creatorcontrib><creatorcontrib>Rong, Ying</creatorcontrib><title>Plasma Transthyretin Levels and Risk of Type 2 Diabetes Mellitus and Impaired Glucose Regulation in a Chinese Population</title><title>Nutrients</title><addtitle>Nutrients</addtitle><description>Plasma transthyretin may be engaged in glucose regulation. We aimed to investigate the association between plasma transthyretin levels and the risk of newly diagnosed T2DM and impaired glucose regulation (IGR) in a Chinese population. We conducted a case-control study including 1244 newly diagnosed T2DM patients, 837 newly diagnosed IGR patients, and 1244 individuals with normal glucose tolerance (NGT) matched by sex and age. Multivariate logistic regression analysis was utilized to estimate the independent association of plasma transthyretin concentrations with the risk of T2DM and IGR. Plasma transthyretin concentrations were significantly higher in T2DM and IGR patients compared with control subjects (p < 0.005). After multiple adjustment and comparison with the lowest quartile of plasma transthyretin concentrations, the odds ratios (95% confidence intervals) of T2DM and IGR in the highest quartile were 2.22 (1.66, 2.98) and 2.29 (1.72, 3.05), respectively. Plasma transthyretin concentrations also showed a great performance in predicting the risk of T2DM (AUC: 0.76). Moreover, a potential nonlinear trend was observed. Our results demonstrated that higher plasma transthyretin concentrations, especially more than 290 mg/L, were associated with an increased risk of T2DM and IGR. Further studies are warranted to confirm our findings and elucidate the potential mechanisms.</description><subject>Age</subject><subject>Blood Glucose - analysis</subject><subject>Body mass index</subject><subject>Case-Control Studies</subject><subject>China - epidemiology</subject><subject>Cholesterol</subject><subject>Confidence intervals</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diabetes Mellitus, Type 2 - epidemiology</subject><subject>Family medical history</subject><subject>Glucose</subject><subject>Glucose Intolerance - epidemiology</subject><subject>Glucose tolerance</subject><subject>Health risks</subject><subject>High density lipoprotein</subject><subject>Homeostasis</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Insulin resistance</subject><subject>Lipoproteins</subject><subject>Nutritional status</subject><subject>Plasma</subject><subject>Population</subject><subject>Prealbumin - analysis</subject><subject>Proteins</subject><subject>Regression analysis</subject><subject>Risk</subject><subject>Statistical analysis</subject><subject>Transthyretin</subject><issn>2072-6643</issn><issn>2072-6643</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkdFrFDEQxhdRbKl98Q-QgC8iXM0m2WTzIshVa-GKpZzPYXZ30kvdTdZkt3j_vTnuWmvzMmHmx8d88xXF25Keca7pJz-XohRMV_xFccyoYgspBX_55H9UnKZ0R3dPUSX56-KIV3WtdUmPiz_XPaQByDqCT9NmG3FynqzwHvtEwHfkxqVfJFiy3o5IGDl30OCEiVxh37tp3kOXwwguYkcu-rkNCckN3s49TC54kuWALDfOY-5fh_HQf1O8stAnPD3Uk-Lnt6_r5ffF6sfF5fLLatEKKqcFNlK0VtuK0mzFVhpYVyuBHRPQicbWlFfQqKrUtgYQStXKtsqCtILWkpX8pPi81x3nZsCuRT9F6M0Y3QBxawI48__Eu425DfdGc1bWssoCHw4CMfyeMU1mcKnN7sFjmJNhUlcsX1OqjL5_ht6FOfpsb0cJykvFaKY-7qk2hpQi2sdlSmp2mZp_mWb43dP1H9GHBPlftYCdIg</recordid><startdate>20220719</startdate><enddate>20220719</enddate><creator>Hu, Xiaoli</creator><creator>Guo, Qianqian</creator><creator>Wang, Xiaoqian</creator><creator>Wang, Qiang</creator><creator>Chen, Liangkai</creator><creator>Sun, Taoping</creator><creator>Li, Peiyun</creator><creator>Shan, Zhilei</creator><creator>Liu, Liegang</creator><creator>Gao, Chao</creator><creator>Rong, Ying</creator><general>MDPI AG</general><general>MDPI</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>3V.</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-7029-1224</orcidid><orcidid>https://orcid.org/0000-0002-8561-7872</orcidid><orcidid>https://orcid.org/0000-0002-4019-2743</orcidid></search><sort><creationdate>20220719</creationdate><title>Plasma Transthyretin Levels and Risk of Type 2 Diabetes Mellitus and Impaired Glucose Regulation in a Chinese Population</title><author>Hu, Xiaoli ; 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We aimed to investigate the association between plasma transthyretin levels and the risk of newly diagnosed T2DM and impaired glucose regulation (IGR) in a Chinese population. We conducted a case-control study including 1244 newly diagnosed T2DM patients, 837 newly diagnosed IGR patients, and 1244 individuals with normal glucose tolerance (NGT) matched by sex and age. Multivariate logistic regression analysis was utilized to estimate the independent association of plasma transthyretin concentrations with the risk of T2DM and IGR. Plasma transthyretin concentrations were significantly higher in T2DM and IGR patients compared with control subjects (p < 0.005). After multiple adjustment and comparison with the lowest quartile of plasma transthyretin concentrations, the odds ratios (95% confidence intervals) of T2DM and IGR in the highest quartile were 2.22 (1.66, 2.98) and 2.29 (1.72, 3.05), respectively. Plasma transthyretin concentrations also showed a great performance in predicting the risk of T2DM (AUC: 0.76). Moreover, a potential nonlinear trend was observed. Our results demonstrated that higher plasma transthyretin concentrations, especially more than 290 mg/L, were associated with an increased risk of T2DM and IGR. Further studies are warranted to confirm our findings and elucidate the potential mechanisms.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>35889910</pmid><doi>10.3390/nu14142953</doi><orcidid>https://orcid.org/0000-0002-7029-1224</orcidid><orcidid>https://orcid.org/0000-0002-8561-7872</orcidid><orcidid>https://orcid.org/0000-0002-4019-2743</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Age Blood Glucose - analysis Body mass index Case-Control Studies China - epidemiology Cholesterol Confidence intervals Diabetes Diabetes mellitus Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - epidemiology Family medical history Glucose Glucose Intolerance - epidemiology Glucose tolerance Health risks High density lipoprotein Homeostasis Hospitals Humans Hypertension Insulin resistance Lipoproteins Nutritional status Plasma Population Prealbumin - analysis Proteins Regression analysis Risk Statistical analysis Transthyretin |
| title | Plasma Transthyretin Levels and Risk of Type 2 Diabetes Mellitus and Impaired Glucose Regulation in a Chinese Population |
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