Interaction between CETP Taq1B polymorphism and HEI, DQI and DPI on metabolic biomarkers in patients with type 2 diabetes
Background Type 2 diabetes mellitus (T2DM) is a multidimensional consequence of environmental and genetic factors. Cholesteryl ester transfer protein (CETP) Taq1B polymorphism has been reported as a main predictor of dyslipidaemia, comprising an important complication in persons with T2DM. However,...
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| Veröffentlicht in: | Journal of human nutrition and dietetics 2022-08, Vol.35 (4), p.651-662 |
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| container_title | Journal of human nutrition and dietetics |
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| creator | Kalantar, Zahra Sotoudeh, Gity Esmaeily, Zahra Rafiee, Masoumeh Koohdani, Fariba |
| description | Background
Type 2 diabetes mellitus (T2DM) is a multidimensional consequence of environmental and genetic factors. Cholesteryl ester transfer protein (CETP) Taq1B polymorphism has been reported as a main predictor of dyslipidaemia, comprising an important complication in persons with T2DM. However, diet could affect T2DM patients metabolic health.
Methods
We investigated the combination of gene–diet effects on some metabolic biomarkers. In our cross‐sectional study, blood samples of 220 patients were collected. Dietary indices (healthy eating index, dietary quality index and dietary phytochemical index) were obtained from a validated semi‐quantitative food frequency questionnaire. CETP Taq1B polymorphism was genotyped by a polymerase chain reaction‐restriction fragment polymorphism method. Data were analysed by analysis of covariance.
Results
The interaction between the CETP Taq1B polymorphism and dietary indices on low density lipoprotein/high density lipoprotein was significant (p |
| doi_str_mv | 10.1111/jhn.12958 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2610413098</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2610413098</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3538-c422ab2a7262219c34aa484144bbc09cdab43def1b83b39a7fedba62216ba9203</originalsourceid><addsrcrecordid>eNp10U1r2zAcBnAxOta022FfYAh6WWFu9ZbYOnZptriUroMMdjOS_A9RZkuupBD87ac23Q6F6iIEPz16eRD6SMkFzeNyu3EXlMlp9QZNKJ9NC1aWv4_QhMgpK3hV0mN0EuOWEDKjhLxDx1xIUlFZTtBYuwRBmWS9wxrSHsDh-WJ1j1fqgX7Fg-_G3odhY2OPlWvxclF_wdc_66fF9X2N874ektK-swZr63sV_kCI2Do8qGTBpYj3Nm1wGgfADLdW5XMgvkdv16qL8OF5PkW_vi1W82Vx--N7Pb-6LQyf8qowgjGlmSrZjDEqDRdKiUpQIbQ2RJpWacFbWFNdcc2lKtfQavVoZ1pJRvgp-nzIHYJ_2EFMTW-jga5TDvwuNiz_iaCcyCrTsxd063fB5dtlJUtGSEVEVucHZYKPMcC6GYLNrx4bSprHPprcR_PUR7afnhN3uof2v_xXQAaXB7C3HYyvJzU3y7tD5F9I6ZMS</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2697200804</pqid></control><display><type>article</type><title>Interaction between CETP Taq1B polymorphism and HEI, DQI and DPI on metabolic biomarkers in patients with type 2 diabetes</title><source>Access via Wiley Online Library</source><creator>Kalantar, Zahra ; Sotoudeh, Gity ; Esmaeily, Zahra ; Rafiee, Masoumeh ; Koohdani, Fariba</creator><creatorcontrib>Kalantar, Zahra ; Sotoudeh, Gity ; Esmaeily, Zahra ; Rafiee, Masoumeh ; Koohdani, Fariba</creatorcontrib><description>Background
Type 2 diabetes mellitus (T2DM) is a multidimensional consequence of environmental and genetic factors. Cholesteryl ester transfer protein (CETP) Taq1B polymorphism has been reported as a main predictor of dyslipidaemia, comprising an important complication in persons with T2DM. However, diet could affect T2DM patients metabolic health.
Methods
We investigated the combination of gene–diet effects on some metabolic biomarkers. In our cross‐sectional study, blood samples of 220 patients were collected. Dietary indices (healthy eating index, dietary quality index and dietary phytochemical index) were obtained from a validated semi‐quantitative food frequency questionnaire. CETP Taq1B polymorphism was genotyped by a polymerase chain reaction‐restriction fragment polymorphism method. Data were analysed by analysis of covariance.
Results
The interaction between the CETP Taq1B polymorphism and dietary indices on low density lipoprotein/high density lipoprotein was significant (p < 0.001 both crude and adjusted models). In addition, the interaction between polymorphism and dietary quality index on total antioxidant capacity (p = 0.004 crude model, p = 0.005 after adjusting) and pentraxin 3 (p = 0.01 both crude and adjusted models) was significant. Also, the interaction between polymorphism and healthy eating index on waist circumference (p = 0.005 both crude and adjusted models) and dietary phytochemical index on interleukin‐18 (p = 0.03 crude model) was significant.
Conclusions
Our results indicated the effect of CETP Taq1B polymorphism on some inflammatory and anthropometrics markers (total antioxidant capacity, pentraxin 3, interleukin‐18, low density lipoprotein/high density lipoprotein and waist circumference) with high and low adherence to dietary incides.
Highlights
The role of different genotypes of CETP Taq1b on lipid profile is undeniable.
CETP Taq1b polymorphism might change the effect of adherence to dietary patterns.
The interaction between CETP Taq1b genotypes and dietary indices on metabolic biomarkers could be different in people with T2DM, even when they have healthy adherence to dietary patterns.
Beside metabolic biomarkers such as TAC, PTX3, IL‐18, central obesity and lipid profile might be under the effect of the interaction between CETP Taq1b genotypes and dietary indices in T2DM individuals.</description><identifier>ISSN: 0952-3871</identifier><identifier>EISSN: 1365-277X</identifier><identifier>DOI: 10.1111/jhn.12958</identifier><identifier>PMID: 34908197</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>Antioxidants ; Biomarkers ; CETP Taq1B polymorphism ; Cholesteryl ester transfer protein ; Cytokines ; Density ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (non-insulin dependent) ; Diet ; dietary indices ; Dyslipidemia ; Eating ; Gene polymorphism ; Genetic factors ; Genotypes ; High density lipoprotein ; Inflammation ; Interleukins ; Lipids ; Low density lipoprotein ; metabolic biomarkers ; Metabolism ; Pentraxins ; Phytochemicals ; Polymerase chain reaction ; Polymorphism ; T2DM</subject><ispartof>Journal of human nutrition and dietetics, 2022-08, Vol.35 (4), p.651-662</ispartof><rights>2021 The British Dietetic Association Ltd.</rights><rights>2022 The British Dietetic Association Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3538-c422ab2a7262219c34aa484144bbc09cdab43def1b83b39a7fedba62216ba9203</citedby><cites>FETCH-LOGICAL-c3538-c422ab2a7262219c34aa484144bbc09cdab43def1b83b39a7fedba62216ba9203</cites><orcidid>0000-0003-0353-4457 ; 0000-0001-6541-2581 ; 0000-0002-7108-5350</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjhn.12958$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjhn.12958$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,781,785,1418,27926,27927,45576,45577</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34908197$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kalantar, Zahra</creatorcontrib><creatorcontrib>Sotoudeh, Gity</creatorcontrib><creatorcontrib>Esmaeily, Zahra</creatorcontrib><creatorcontrib>Rafiee, Masoumeh</creatorcontrib><creatorcontrib>Koohdani, Fariba</creatorcontrib><title>Interaction between CETP Taq1B polymorphism and HEI, DQI and DPI on metabolic biomarkers in patients with type 2 diabetes</title><title>Journal of human nutrition and dietetics</title><addtitle>J Hum Nutr Diet</addtitle><description>Background
Type 2 diabetes mellitus (T2DM) is a multidimensional consequence of environmental and genetic factors. Cholesteryl ester transfer protein (CETP) Taq1B polymorphism has been reported as a main predictor of dyslipidaemia, comprising an important complication in persons with T2DM. However, diet could affect T2DM patients metabolic health.
Methods
We investigated the combination of gene–diet effects on some metabolic biomarkers. In our cross‐sectional study, blood samples of 220 patients were collected. Dietary indices (healthy eating index, dietary quality index and dietary phytochemical index) were obtained from a validated semi‐quantitative food frequency questionnaire. CETP Taq1B polymorphism was genotyped by a polymerase chain reaction‐restriction fragment polymorphism method. Data were analysed by analysis of covariance.
Results
The interaction between the CETP Taq1B polymorphism and dietary indices on low density lipoprotein/high density lipoprotein was significant (p < 0.001 both crude and adjusted models). In addition, the interaction between polymorphism and dietary quality index on total antioxidant capacity (p = 0.004 crude model, p = 0.005 after adjusting) and pentraxin 3 (p = 0.01 both crude and adjusted models) was significant. Also, the interaction between polymorphism and healthy eating index on waist circumference (p = 0.005 both crude and adjusted models) and dietary phytochemical index on interleukin‐18 (p = 0.03 crude model) was significant.
Conclusions
Our results indicated the effect of CETP Taq1B polymorphism on some inflammatory and anthropometrics markers (total antioxidant capacity, pentraxin 3, interleukin‐18, low density lipoprotein/high density lipoprotein and waist circumference) with high and low adherence to dietary incides.
Highlights
The role of different genotypes of CETP Taq1b on lipid profile is undeniable.
CETP Taq1b polymorphism might change the effect of adherence to dietary patterns.
The interaction between CETP Taq1b genotypes and dietary indices on metabolic biomarkers could be different in people with T2DM, even when they have healthy adherence to dietary patterns.
Beside metabolic biomarkers such as TAC, PTX3, IL‐18, central obesity and lipid profile might be under the effect of the interaction between CETP Taq1b genotypes and dietary indices in T2DM individuals.</description><subject>Antioxidants</subject><subject>Biomarkers</subject><subject>CETP Taq1B polymorphism</subject><subject>Cholesteryl ester transfer protein</subject><subject>Cytokines</subject><subject>Density</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diet</subject><subject>dietary indices</subject><subject>Dyslipidemia</subject><subject>Eating</subject><subject>Gene polymorphism</subject><subject>Genetic factors</subject><subject>Genotypes</subject><subject>High density lipoprotein</subject><subject>Inflammation</subject><subject>Interleukins</subject><subject>Lipids</subject><subject>Low density lipoprotein</subject><subject>metabolic biomarkers</subject><subject>Metabolism</subject><subject>Pentraxins</subject><subject>Phytochemicals</subject><subject>Polymerase chain reaction</subject><subject>Polymorphism</subject><subject>T2DM</subject><issn>0952-3871</issn><issn>1365-277X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp10U1r2zAcBnAxOta022FfYAh6WWFu9ZbYOnZptriUroMMdjOS_A9RZkuupBD87ac23Q6F6iIEPz16eRD6SMkFzeNyu3EXlMlp9QZNKJ9NC1aWv4_QhMgpK3hV0mN0EuOWEDKjhLxDx1xIUlFZTtBYuwRBmWS9wxrSHsDh-WJ1j1fqgX7Fg-_G3odhY2OPlWvxclF_wdc_66fF9X2N874ektK-swZr63sV_kCI2Do8qGTBpYj3Nm1wGgfADLdW5XMgvkdv16qL8OF5PkW_vi1W82Vx--N7Pb-6LQyf8qowgjGlmSrZjDEqDRdKiUpQIbQ2RJpWacFbWFNdcc2lKtfQavVoZ1pJRvgp-nzIHYJ_2EFMTW-jga5TDvwuNiz_iaCcyCrTsxd063fB5dtlJUtGSEVEVucHZYKPMcC6GYLNrx4bSprHPprcR_PUR7afnhN3uof2v_xXQAaXB7C3HYyvJzU3y7tD5F9I6ZMS</recordid><startdate>202208</startdate><enddate>202208</enddate><creator>Kalantar, Zahra</creator><creator>Sotoudeh, Gity</creator><creator>Esmaeily, Zahra</creator><creator>Rafiee, Masoumeh</creator><creator>Koohdani, Fariba</creator><general>Blackwell Publishing Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0353-4457</orcidid><orcidid>https://orcid.org/0000-0001-6541-2581</orcidid><orcidid>https://orcid.org/0000-0002-7108-5350</orcidid></search><sort><creationdate>202208</creationdate><title>Interaction between CETP Taq1B polymorphism and HEI, DQI and DPI on metabolic biomarkers in patients with type 2 diabetes</title><author>Kalantar, Zahra ; Sotoudeh, Gity ; Esmaeily, Zahra ; Rafiee, Masoumeh ; Koohdani, Fariba</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3538-c422ab2a7262219c34aa484144bbc09cdab43def1b83b39a7fedba62216ba9203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Antioxidants</topic><topic>Biomarkers</topic><topic>CETP Taq1B polymorphism</topic><topic>Cholesteryl ester transfer protein</topic><topic>Cytokines</topic><topic>Density</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Diet</topic><topic>dietary indices</topic><topic>Dyslipidemia</topic><topic>Eating</topic><topic>Gene polymorphism</topic><topic>Genetic factors</topic><topic>Genotypes</topic><topic>High density lipoprotein</topic><topic>Inflammation</topic><topic>Interleukins</topic><topic>Lipids</topic><topic>Low density lipoprotein</topic><topic>metabolic biomarkers</topic><topic>Metabolism</topic><topic>Pentraxins</topic><topic>Phytochemicals</topic><topic>Polymerase chain reaction</topic><topic>Polymorphism</topic><topic>T2DM</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kalantar, Zahra</creatorcontrib><creatorcontrib>Sotoudeh, Gity</creatorcontrib><creatorcontrib>Esmaeily, Zahra</creatorcontrib><creatorcontrib>Rafiee, Masoumeh</creatorcontrib><creatorcontrib>Koohdani, Fariba</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of human nutrition and dietetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kalantar, Zahra</au><au>Sotoudeh, Gity</au><au>Esmaeily, Zahra</au><au>Rafiee, Masoumeh</au><au>Koohdani, Fariba</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Interaction between CETP Taq1B polymorphism and HEI, DQI and DPI on metabolic biomarkers in patients with type 2 diabetes</atitle><jtitle>Journal of human nutrition and dietetics</jtitle><addtitle>J Hum Nutr Diet</addtitle><date>2022-08</date><risdate>2022</risdate><volume>35</volume><issue>4</issue><spage>651</spage><epage>662</epage><pages>651-662</pages><issn>0952-3871</issn><eissn>1365-277X</eissn><abstract>Background
Type 2 diabetes mellitus (T2DM) is a multidimensional consequence of environmental and genetic factors. Cholesteryl ester transfer protein (CETP) Taq1B polymorphism has been reported as a main predictor of dyslipidaemia, comprising an important complication in persons with T2DM. However, diet could affect T2DM patients metabolic health.
Methods
We investigated the combination of gene–diet effects on some metabolic biomarkers. In our cross‐sectional study, blood samples of 220 patients were collected. Dietary indices (healthy eating index, dietary quality index and dietary phytochemical index) were obtained from a validated semi‐quantitative food frequency questionnaire. CETP Taq1B polymorphism was genotyped by a polymerase chain reaction‐restriction fragment polymorphism method. Data were analysed by analysis of covariance.
Results
The interaction between the CETP Taq1B polymorphism and dietary indices on low density lipoprotein/high density lipoprotein was significant (p < 0.001 both crude and adjusted models). In addition, the interaction between polymorphism and dietary quality index on total antioxidant capacity (p = 0.004 crude model, p = 0.005 after adjusting) and pentraxin 3 (p = 0.01 both crude and adjusted models) was significant. Also, the interaction between polymorphism and healthy eating index on waist circumference (p = 0.005 both crude and adjusted models) and dietary phytochemical index on interleukin‐18 (p = 0.03 crude model) was significant.
Conclusions
Our results indicated the effect of CETP Taq1B polymorphism on some inflammatory and anthropometrics markers (total antioxidant capacity, pentraxin 3, interleukin‐18, low density lipoprotein/high density lipoprotein and waist circumference) with high and low adherence to dietary incides.
Highlights
The role of different genotypes of CETP Taq1b on lipid profile is undeniable.
CETP Taq1b polymorphism might change the effect of adherence to dietary patterns.
The interaction between CETP Taq1b genotypes and dietary indices on metabolic biomarkers could be different in people with T2DM, even when they have healthy adherence to dietary patterns.
Beside metabolic biomarkers such as TAC, PTX3, IL‐18, central obesity and lipid profile might be under the effect of the interaction between CETP Taq1b genotypes and dietary indices in T2DM individuals.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>34908197</pmid><doi>10.1111/jhn.12958</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-0353-4457</orcidid><orcidid>https://orcid.org/0000-0001-6541-2581</orcidid><orcidid>https://orcid.org/0000-0002-7108-5350</orcidid></addata></record> |
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| subjects | Antioxidants Biomarkers CETP Taq1B polymorphism Cholesteryl ester transfer protein Cytokines Density Diabetes Diabetes mellitus Diabetes mellitus (non-insulin dependent) Diet dietary indices Dyslipidemia Eating Gene polymorphism Genetic factors Genotypes High density lipoprotein Inflammation Interleukins Lipids Low density lipoprotein metabolic biomarkers Metabolism Pentraxins Phytochemicals Polymerase chain reaction Polymorphism T2DM |
| title | Interaction between CETP Taq1B polymorphism and HEI, DQI and DPI on metabolic biomarkers in patients with type 2 diabetes |
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