HDL Particle Subspecies and Their Association With Incident Type 2 Diabetes: The PREVEND Study
Abstract Context High-density lipoproteins (HDL) may be protective against type 2 diabetes (T2D) development, but HDL particles vary in size and function, which could lead to differential associations with incident T2D. A newly developed nuclear magnetic resonance (NMR)-derived algorithm provides co...
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| Veröffentlicht in: | The journal of clinical endocrinology and metabolism 2021-06, Vol.106 (6), p.1761-1772 |
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| container_title | The journal of clinical endocrinology and metabolism |
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| creator | Sokooti, Sara Flores-Guerrero, Jose L Kieneker, Lyanne M Heerspink, Hiddo J L Connelly, Margery A Bakker, Stephan J L Dullaart, Robin P F |
| description | Abstract
Context
High-density lipoproteins (HDL) may be protective against type 2 diabetes (T2D) development, but HDL particles vary in size and function, which could lead to differential associations with incident T2D. A newly developed nuclear magnetic resonance (NMR)-derived algorithm provides concentrations for 7 HDL subspecies.
Objective
We aimed to investigate the association of HDL particle subspecies with incident T2D in the general population.
Methods
Among 4828 subjects of the Prevention of Renal and Vascular End-Stage Disease (PREVEND) study without T2D at baseline, HDL subspecies with increasing size from H1P to H7P were measured by NMR (LP4 algorithm of the Vantera NMR platform).
Results
A total of 265 individuals developed T2D (median follow-up of 7.3 years). In Cox regression models, HDL size and H4P (hazard ratio [HR] per 1 SD increase 0.83 [95% CI, 0.69-0.99] and 0.85 [95% CI, 0.75-0.95], respectively) were inversely associated with incident T2D, after adjustment for relevant covariates. In contrast, levels of H2P were positively associated with incident T2D (HR 1.15 [95% CI, 1.01-1.32]). In secondary analyses, associations with large HDL particles and H6P were modified by body mass index (BMI) in such a way that they were particularly associated with a lower risk of incident T2D, in subjects with BMI |
| doi_str_mv | 10.1210/clinem/dgab075 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8118359</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A702494006</galeid><oup_id>10.1210/clinem/dgab075</oup_id><sourcerecordid>A702494006</sourcerecordid><originalsourceid>FETCH-LOGICAL-c519t-f980366741f767f44154e52ca8ee3c65e963361b70c7e94d5b7f297a9168a1ee3</originalsourceid><addsrcrecordid>eNqFkktrGzEUhYfS0rhpt10WQTftYhJJo8eoi4CJnSZg2tC4j1WFRnPHVhhL09FMwP--MnbTB4GixQXpO-fqXk6WvST4hFCCT23rPGxO65WpsOSPsglRjOeSKPk4m2BMSa4k_XaUPYvxFmPCGC-eZkdFwYXEopxk3y9nC3Rt-sHZFtDNWMUOrIOIjK_Rcg2uR9MYg3VmcMGjr25YoytvXQ1-QMttB4iimTMVDBDf7QTo-tP8y_zDDN0MY719nj1pTBvhxaEeZ58v5svzy3zx8f3V-XSRW07UkDeqxIUQkpFGCtkwRjgDTq0pAQorOChRFIJUElsJitW8kg1V0igiSkMSc5yd7X27sdpAbdPvetPqrncb0291ME7__eLdWq_CnS4JKQuuksGbg0EffowQB71x0ULbGg9hjJqysuRMUkkT-vof9DaMvU_jaaq4IAXBQv6mVqYF7XwTUl-7M9VTiSlTDGORqJMHqHRq2DgbPDQu3T8ksH2IsYfmfkaC9S4Rep8IfUhEErz6czP3-K8IJODtHghj9z-znxhNvsQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2956131067</pqid></control><display><type>article</type><title>HDL Particle Subspecies and Their Association With Incident Type 2 Diabetes: The PREVEND Study</title><source>Oxford University Press Journals All Titles (1996-Current)</source><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Alma/SFX Local Collection</source><creator>Sokooti, Sara ; Flores-Guerrero, Jose L ; Kieneker, Lyanne M ; Heerspink, Hiddo J L ; Connelly, Margery A ; Bakker, Stephan J L ; Dullaart, Robin P F</creator><creatorcontrib>Sokooti, Sara ; Flores-Guerrero, Jose L ; Kieneker, Lyanne M ; Heerspink, Hiddo J L ; Connelly, Margery A ; Bakker, Stephan J L ; Dullaart, Robin P F</creatorcontrib><description>Abstract
Context
High-density lipoproteins (HDL) may be protective against type 2 diabetes (T2D) development, but HDL particles vary in size and function, which could lead to differential associations with incident T2D. A newly developed nuclear magnetic resonance (NMR)-derived algorithm provides concentrations for 7 HDL subspecies.
Objective
We aimed to investigate the association of HDL particle subspecies with incident T2D in the general population.
Methods
Among 4828 subjects of the Prevention of Renal and Vascular End-Stage Disease (PREVEND) study without T2D at baseline, HDL subspecies with increasing size from H1P to H7P were measured by NMR (LP4 algorithm of the Vantera NMR platform).
Results
A total of 265 individuals developed T2D (median follow-up of 7.3 years). In Cox regression models, HDL size and H4P (hazard ratio [HR] per 1 SD increase 0.83 [95% CI, 0.69-0.99] and 0.85 [95% CI, 0.75-0.95], respectively) were inversely associated with incident T2D, after adjustment for relevant covariates. In contrast, levels of H2P were positively associated with incident T2D (HR 1.15 [95% CI, 1.01-1.32]). In secondary analyses, associations with large HDL particles and H6P were modified by body mass index (BMI) in such a way that they were particularly associated with a lower risk of incident T2D, in subjects with BMI < 30 kg/m2.
Conclusion
Greater HDL size and lower levels of H4P were associated with a lower risk, whereas higher levels of H2P were associated with a higher risk of developing T2D. In addition, large HDL particles and H6P were inversely associated with T2D in nonobese subjects.</description><identifier>ISSN: 0021-972X</identifier><identifier>EISSN: 1945-7197</identifier><identifier>DOI: 10.1210/clinem/dgab075</identifier><identifier>PMID: 33567068</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Adult ; Aged ; Algorithms ; Analysis ; Blood cholesterol ; Body mass index ; Clinical s ; Cohort Studies ; Development and progression ; Diabetes ; Diabetes mellitus (non-insulin dependent) ; Diabetes Mellitus, Type 2 - blood ; Diabetes Mellitus, Type 2 - epidemiology ; Diabetes Mellitus, Type 2 - etiology ; End-stage renal disease ; Ethylenediaminetetraacetic acid ; Female ; Follow-Up Studies ; High density lipoprotein ; Humans ; Incidence ; Kidney diseases ; Lipoproteins ; Lipoproteins, HDL - blood ; Lipoproteins, HDL - classification ; Male ; Medical research ; Medicine, Experimental ; Middle Aged ; Netherlands - epidemiology ; NMR ; Nuclear magnetic resonance ; Obesity ; Regression analysis ; Risk Factors ; Type 2 diabetes</subject><ispartof>The journal of clinical endocrinology and metabolism, 2021-06, Vol.106 (6), p.1761-1772</ispartof><rights>The Author(s) 2021. Published by Oxford University Press on behalf of the Endocrine Society. 2021</rights><rights>The Author(s) 2021. Published by Oxford University Press on behalf of the Endocrine Society.</rights><rights>COPYRIGHT 2021 Oxford University Press</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c519t-f980366741f767f44154e52ca8ee3c65e963361b70c7e94d5b7f297a9168a1ee3</citedby><cites>FETCH-LOGICAL-c519t-f980366741f767f44154e52ca8ee3c65e963361b70c7e94d5b7f297a9168a1ee3</cites><orcidid>0000-0003-0420-2497</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33567068$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sokooti, Sara</creatorcontrib><creatorcontrib>Flores-Guerrero, Jose L</creatorcontrib><creatorcontrib>Kieneker, Lyanne M</creatorcontrib><creatorcontrib>Heerspink, Hiddo J L</creatorcontrib><creatorcontrib>Connelly, Margery A</creatorcontrib><creatorcontrib>Bakker, Stephan J L</creatorcontrib><creatorcontrib>Dullaart, Robin P F</creatorcontrib><title>HDL Particle Subspecies and Their Association With Incident Type 2 Diabetes: The PREVEND Study</title><title>The journal of clinical endocrinology and metabolism</title><addtitle>J Clin Endocrinol Metab</addtitle><description>Abstract
Context
High-density lipoproteins (HDL) may be protective against type 2 diabetes (T2D) development, but HDL particles vary in size and function, which could lead to differential associations with incident T2D. A newly developed nuclear magnetic resonance (NMR)-derived algorithm provides concentrations for 7 HDL subspecies.
Objective
We aimed to investigate the association of HDL particle subspecies with incident T2D in the general population.
Methods
Among 4828 subjects of the Prevention of Renal and Vascular End-Stage Disease (PREVEND) study without T2D at baseline, HDL subspecies with increasing size from H1P to H7P were measured by NMR (LP4 algorithm of the Vantera NMR platform).
Results
A total of 265 individuals developed T2D (median follow-up of 7.3 years). In Cox regression models, HDL size and H4P (hazard ratio [HR] per 1 SD increase 0.83 [95% CI, 0.69-0.99] and 0.85 [95% CI, 0.75-0.95], respectively) were inversely associated with incident T2D, after adjustment for relevant covariates. In contrast, levels of H2P were positively associated with incident T2D (HR 1.15 [95% CI, 1.01-1.32]). In secondary analyses, associations with large HDL particles and H6P were modified by body mass index (BMI) in such a way that they were particularly associated with a lower risk of incident T2D, in subjects with BMI < 30 kg/m2.
Conclusion
Greater HDL size and lower levels of H4P were associated with a lower risk, whereas higher levels of H2P were associated with a higher risk of developing T2D. In addition, large HDL particles and H6P were inversely associated with T2D in nonobese subjects.</description><subject>Adult</subject><subject>Aged</subject><subject>Algorithms</subject><subject>Analysis</subject><subject>Blood cholesterol</subject><subject>Body mass index</subject><subject>Clinical s</subject><subject>Cohort Studies</subject><subject>Development and progression</subject><subject>Diabetes</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diabetes Mellitus, Type 2 - blood</subject><subject>Diabetes Mellitus, Type 2 - epidemiology</subject><subject>Diabetes Mellitus, Type 2 - etiology</subject><subject>End-stage renal disease</subject><subject>Ethylenediaminetetraacetic acid</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>High density lipoprotein</subject><subject>Humans</subject><subject>Incidence</subject><subject>Kidney diseases</subject><subject>Lipoproteins</subject><subject>Lipoproteins, HDL - blood</subject><subject>Lipoproteins, HDL - classification</subject><subject>Male</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Middle Aged</subject><subject>Netherlands - epidemiology</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Obesity</subject><subject>Regression analysis</subject><subject>Risk Factors</subject><subject>Type 2 diabetes</subject><issn>0021-972X</issn><issn>1945-7197</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><sourceid>EIF</sourceid><recordid>eNqFkktrGzEUhYfS0rhpt10WQTftYhJJo8eoi4CJnSZg2tC4j1WFRnPHVhhL09FMwP--MnbTB4GixQXpO-fqXk6WvST4hFCCT23rPGxO65WpsOSPsglRjOeSKPk4m2BMSa4k_XaUPYvxFmPCGC-eZkdFwYXEopxk3y9nC3Rt-sHZFtDNWMUOrIOIjK_Rcg2uR9MYg3VmcMGjr25YoytvXQ1-QMttB4iimTMVDBDf7QTo-tP8y_zDDN0MY719nj1pTBvhxaEeZ58v5svzy3zx8f3V-XSRW07UkDeqxIUQkpFGCtkwRjgDTq0pAQorOChRFIJUElsJitW8kg1V0igiSkMSc5yd7X27sdpAbdPvetPqrncb0291ME7__eLdWq_CnS4JKQuuksGbg0EffowQB71x0ULbGg9hjJqysuRMUkkT-vof9DaMvU_jaaq4IAXBQv6mVqYF7XwTUl-7M9VTiSlTDGORqJMHqHRq2DgbPDQu3T8ksH2IsYfmfkaC9S4Rep8IfUhEErz6czP3-K8IJODtHghj9z-znxhNvsQ</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Sokooti, Sara</creator><creator>Flores-Guerrero, Jose L</creator><creator>Kieneker, Lyanne M</creator><creator>Heerspink, Hiddo J L</creator><creator>Connelly, Margery A</creator><creator>Bakker, Stephan J L</creator><creator>Dullaart, Robin P F</creator><general>Oxford University Press</general><scope>TOX</scope><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>7QP</scope><scope>7T5</scope><scope>7TM</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-0420-2497</orcidid></search><sort><creationdate>20210601</creationdate><title>HDL Particle Subspecies and Their Association With Incident Type 2 Diabetes: The PREVEND Study</title><author>Sokooti, Sara ; Flores-Guerrero, Jose L ; Kieneker, Lyanne M ; Heerspink, Hiddo J L ; Connelly, Margery A ; Bakker, Stephan J L ; Dullaart, Robin P F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c519t-f980366741f767f44154e52ca8ee3c65e963361b70c7e94d5b7f297a9168a1ee3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Algorithms</topic><topic>Analysis</topic><topic>Blood cholesterol</topic><topic>Body mass index</topic><topic>Clinical s</topic><topic>Cohort Studies</topic><topic>Development and progression</topic><topic>Diabetes</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Diabetes Mellitus, Type 2 - blood</topic><topic>Diabetes Mellitus, Type 2 - epidemiology</topic><topic>Diabetes Mellitus, Type 2 - etiology</topic><topic>End-stage renal disease</topic><topic>Ethylenediaminetetraacetic acid</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>High density lipoprotein</topic><topic>Humans</topic><topic>Incidence</topic><topic>Kidney diseases</topic><topic>Lipoproteins</topic><topic>Lipoproteins, HDL - blood</topic><topic>Lipoproteins, HDL - classification</topic><topic>Male</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Middle Aged</topic><topic>Netherlands - epidemiology</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Obesity</topic><topic>Regression analysis</topic><topic>Risk Factors</topic><topic>Type 2 diabetes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sokooti, Sara</creatorcontrib><creatorcontrib>Flores-Guerrero, Jose L</creatorcontrib><creatorcontrib>Kieneker, Lyanne M</creatorcontrib><creatorcontrib>Heerspink, Hiddo J L</creatorcontrib><creatorcontrib>Connelly, Margery A</creatorcontrib><creatorcontrib>Bakker, Stephan J L</creatorcontrib><creatorcontrib>Dullaart, Robin P F</creatorcontrib><collection>Oxford Journals Open Access Collection</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Immunology Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The journal of clinical endocrinology and metabolism</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sokooti, Sara</au><au>Flores-Guerrero, Jose L</au><au>Kieneker, Lyanne M</au><au>Heerspink, Hiddo J L</au><au>Connelly, Margery A</au><au>Bakker, Stephan J L</au><au>Dullaart, Robin P F</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>HDL Particle Subspecies and Their Association With Incident Type 2 Diabetes: The PREVEND Study</atitle><jtitle>The journal of clinical endocrinology and metabolism</jtitle><addtitle>J Clin Endocrinol Metab</addtitle><date>2021-06-01</date><risdate>2021</risdate><volume>106</volume><issue>6</issue><spage>1761</spage><epage>1772</epage><pages>1761-1772</pages><issn>0021-972X</issn><eissn>1945-7197</eissn><abstract>Abstract
Context
High-density lipoproteins (HDL) may be protective against type 2 diabetes (T2D) development, but HDL particles vary in size and function, which could lead to differential associations with incident T2D. A newly developed nuclear magnetic resonance (NMR)-derived algorithm provides concentrations for 7 HDL subspecies.
Objective
We aimed to investigate the association of HDL particle subspecies with incident T2D in the general population.
Methods
Among 4828 subjects of the Prevention of Renal and Vascular End-Stage Disease (PREVEND) study without T2D at baseline, HDL subspecies with increasing size from H1P to H7P were measured by NMR (LP4 algorithm of the Vantera NMR platform).
Results
A total of 265 individuals developed T2D (median follow-up of 7.3 years). In Cox regression models, HDL size and H4P (hazard ratio [HR] per 1 SD increase 0.83 [95% CI, 0.69-0.99] and 0.85 [95% CI, 0.75-0.95], respectively) were inversely associated with incident T2D, after adjustment for relevant covariates. In contrast, levels of H2P were positively associated with incident T2D (HR 1.15 [95% CI, 1.01-1.32]). In secondary analyses, associations with large HDL particles and H6P were modified by body mass index (BMI) in such a way that they were particularly associated with a lower risk of incident T2D, in subjects with BMI < 30 kg/m2.
Conclusion
Greater HDL size and lower levels of H4P were associated with a lower risk, whereas higher levels of H2P were associated with a higher risk of developing T2D. In addition, large HDL particles and H6P were inversely associated with T2D in nonobese subjects.</abstract><cop>US</cop><pub>Oxford University Press</pub><pmid>33567068</pmid><doi>10.1210/clinem/dgab075</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-0420-2497</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0021-972X |
| ispartof | The journal of clinical endocrinology and metabolism, 2021-06, Vol.106 (6), p.1761-1772 |
| issn | 0021-972X 1945-7197 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8118359 |
| source | Oxford University Press Journals All Titles (1996-Current); MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Adult Aged Algorithms Analysis Blood cholesterol Body mass index Clinical s Cohort Studies Development and progression Diabetes Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - blood Diabetes Mellitus, Type 2 - epidemiology Diabetes Mellitus, Type 2 - etiology End-stage renal disease Ethylenediaminetetraacetic acid Female Follow-Up Studies High density lipoprotein Humans Incidence Kidney diseases Lipoproteins Lipoproteins, HDL - blood Lipoproteins, HDL - classification Male Medical research Medicine, Experimental Middle Aged Netherlands - epidemiology NMR Nuclear magnetic resonance Obesity Regression analysis Risk Factors Type 2 diabetes |
| title | HDL Particle Subspecies and Their Association With Incident Type 2 Diabetes: The PREVEND Study |
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