Risk Factors Related to Resting Metabolic Rate-Related DNAJC6 Gene Variation in Children with Overweight/Obesity: 3-Year Panel Study
This study investigated how the gene variation related to RMR alteration affects risk factors of obese environments in children with obesity aged 8-9. Over a three-year follow-up period, 63.3% of original students participated. Changes in the variables (anthropometrics, blood biochemistry, and dieta...
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description | This study investigated how the
gene variation related to RMR alteration affects risk factors of obese environments in children with obesity aged 8-9.
Over a three-year follow-up period, 63.3% of original students participated. Changes in the variables (anthropometrics, blood biochemistry, and dietary intakes) were analyzed and compared between those without obesity (non-OB) and with obesity (OB) classified at the study endpoint.
The average MAF of nine SNPs (
to
) was defined as 18.1%. The OB group showed greater increases in RMR, BMI, WC, and SBP, while the non-OB group had significantly greater increases in HDL and intakes of nutrients (e.g., total calories, vitamins B2, C, folate, A, retinol, iron, and zinc). Increased RMR, BMI, BW, and RMR/BW changes were observed with mutant allele of
SNP, which was also associated with a higher prevalence of obesity. Greater increases in animal fat intake, including saturated fatty acids and retinol, were noted in the minor alleles of
,
, and
SNPs compared to those of the major alleles. The odds ratio for BMI risk was significantly higher in the mutant alleles of
and
compared to the wild type, with increases of 2.59 times (CI; 1.068-6.274), 1.86 times (CI; 1.012-3.422), and 1.85 times (CI; 1.008-3.416), respectively. RMR was a mild risk factor in minors of the
; however, a higher RMR/BW ratio significantly correlated with decreased BMI risk, and this effect was found in only the major alleles of
and
SNPs, not in the minor alleles. High retinol intake appeared to reduce obesity risk in the minor alleles of the
,
, and
SNPs, even though intake of animal fats and retinol remained higher among minors over the three years.
These findings suggest that the RMR/BW ratio and dietary fat/retinol intake should be considered in
-gene-based precision medicine approaches for pediatric obesity prevention, particularly for boys. |
doi_str_mv | 10.3390/nu16244423 |
format | Article |
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gene variation related to RMR alteration affects risk factors of obese environments in children with obesity aged 8-9.
Over a three-year follow-up period, 63.3% of original students participated. Changes in the variables (anthropometrics, blood biochemistry, and dietary intakes) were analyzed and compared between those without obesity (non-OB) and with obesity (OB) classified at the study endpoint.
The average MAF of nine SNPs (
to
) was defined as 18.1%. The OB group showed greater increases in RMR, BMI, WC, and SBP, while the non-OB group had significantly greater increases in HDL and intakes of nutrients (e.g., total calories, vitamins B2, C, folate, A, retinol, iron, and zinc). Increased RMR, BMI, BW, and RMR/BW changes were observed with mutant allele of
SNP, which was also associated with a higher prevalence of obesity. Greater increases in animal fat intake, including saturated fatty acids and retinol, were noted in the minor alleles of
,
, and
SNPs compared to those of the major alleles. The odds ratio for BMI risk was significantly higher in the mutant alleles of
and
compared to the wild type, with increases of 2.59 times (CI; 1.068-6.274), 1.86 times (CI; 1.012-3.422), and 1.85 times (CI; 1.008-3.416), respectively. RMR was a mild risk factor in minors of the
; however, a higher RMR/BW ratio significantly correlated with decreased BMI risk, and this effect was found in only the major alleles of
and
SNPs, not in the minor alleles. High retinol intake appeared to reduce obesity risk in the minor alleles of the
,
, and
SNPs, even though intake of animal fats and retinol remained higher among minors over the three years.
These findings suggest that the RMR/BW ratio and dietary fat/retinol intake should be considered in
-gene-based precision medicine approaches for pediatric obesity prevention, particularly for boys.</description><identifier>ISSN: 2072-6643</identifier><identifier>EISSN: 2072-6643</identifier><identifier>DOI: 10.3390/nu16244423</identifier><identifier>PMID: 39771044</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Alleles ; Basal Metabolism - genetics ; Biochemistry ; Body Mass Index ; Child ; Children & youth ; Cholesterol ; Diet ; Female ; Follow-Up Studies ; Genes ; Genetic Predisposition to Disease ; Genomes ; Humans ; Intellectual disabilities ; Kinases ; Longitudinal studies ; Male ; Metabolism ; Mutation ; Obesity ; Overweight ; Overweight - genetics ; Pediatric Obesity - genetics ; Pediatrics ; Polymorphism, Single Nucleotide ; Quality control ; Risk Factors ; Students ; Variables</subject><ispartof>Nutrients, 2024-12, Vol.16 (24), p.4423</ispartof><rights>2024 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><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c204t-392d2efcff81920e17db9abc502c880a77a48ea1abab84607fe7e14b58deeea43</cites><orcidid>0000-0001-9352-5591 ; 0000-0002-6192-2610 ; 0000-0003-1344-6979</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39771044$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shin, Jieun</creatorcontrib><creatorcontrib>Kang, Inhae</creatorcontrib><creatorcontrib>Lee, Myoungsook</creatorcontrib><title>Risk Factors Related to Resting Metabolic Rate-Related DNAJC6 Gene Variation in Children with Overweight/Obesity: 3-Year Panel Study</title><title>Nutrients</title><addtitle>Nutrients</addtitle><description>This study investigated how the
gene variation related to RMR alteration affects risk factors of obese environments in children with obesity aged 8-9.
Over a three-year follow-up period, 63.3% of original students participated. Changes in the variables (anthropometrics, blood biochemistry, and dietary intakes) were analyzed and compared between those without obesity (non-OB) and with obesity (OB) classified at the study endpoint.
The average MAF of nine SNPs (
to
) was defined as 18.1%. The OB group showed greater increases in RMR, BMI, WC, and SBP, while the non-OB group had significantly greater increases in HDL and intakes of nutrients (e.g., total calories, vitamins B2, C, folate, A, retinol, iron, and zinc). Increased RMR, BMI, BW, and RMR/BW changes were observed with mutant allele of
SNP, which was also associated with a higher prevalence of obesity. Greater increases in animal fat intake, including saturated fatty acids and retinol, were noted in the minor alleles of
,
, and
SNPs compared to those of the major alleles. The odds ratio for BMI risk was significantly higher in the mutant alleles of
and
compared to the wild type, with increases of 2.59 times (CI; 1.068-6.274), 1.86 times (CI; 1.012-3.422), and 1.85 times (CI; 1.008-3.416), respectively. RMR was a mild risk factor in minors of the
; however, a higher RMR/BW ratio significantly correlated with decreased BMI risk, and this effect was found in only the major alleles of
and
SNPs, not in the minor alleles. High retinol intake appeared to reduce obesity risk in the minor alleles of the
,
, and
SNPs, even though intake of animal fats and retinol remained higher among minors over the three years.
These findings suggest that the RMR/BW ratio and dietary fat/retinol intake should be considered in
-gene-based precision medicine approaches for pediatric obesity prevention, particularly for boys.</description><subject>Alleles</subject><subject>Basal Metabolism - genetics</subject><subject>Biochemistry</subject><subject>Body Mass Index</subject><subject>Child</subject><subject>Children & youth</subject><subject>Cholesterol</subject><subject>Diet</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Genes</subject><subject>Genetic Predisposition to Disease</subject><subject>Genomes</subject><subject>Humans</subject><subject>Intellectual disabilities</subject><subject>Kinases</subject><subject>Longitudinal studies</subject><subject>Male</subject><subject>Metabolism</subject><subject>Mutation</subject><subject>Obesity</subject><subject>Overweight</subject><subject>Overweight - genetics</subject><subject>Pediatric Obesity - genetics</subject><subject>Pediatrics</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Quality control</subject><subject>Risk Factors</subject><subject>Students</subject><subject>Variables</subject><issn>2072-6643</issn><issn>2072-6643</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpdkUtLw0AUhQdRrNRu_AEy4EaE2Hk1k7iT-kat1Ae4CpPkpp2aTurMxNK9P9yUWhXv5h64H4dzOQjtUXLMeUy6pqYhE0IwvoF2GJEsCEPBN__oFuo4NyHLkUSGfBu1eCwlJULsoM-hdm_4QmW-sg4PoVQecuyrRjqvzQjfgVdpVeoMD5tTsCbO7k9v-iG-BAP4RVmtvK4M1gb3x7rMLRg8136MBx9g56BHY98dpOC0X5xgHryCsvhBGSjxo6_zxS7aKlTpoPO92-j54vypfxXcDi6v-6e3QcaI8AGPWc6gyIoiojEjQGWexirNeoRlUUSUlEpEoKhKVRqJkMgCJFCR9qIcAJTgbXS48p3Z6r1uHkym2mVQlk2UqnYJpz0eSSbDXoMe_EMnVW1Nk66hRCwZ5XJpeLSiMls5Z6FIZlZPlV0klCTLepLfehp4_9uyTqeQ_6DrMvgXC1uJ4A</recordid><startdate>20241223</startdate><enddate>20241223</enddate><creator>Shin, Jieun</creator><creator>Kang, Inhae</creator><creator>Lee, Myoungsook</creator><general>MDPI AG</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><orcidid>https://orcid.org/0000-0001-9352-5591</orcidid><orcidid>https://orcid.org/0000-0002-6192-2610</orcidid><orcidid>https://orcid.org/0000-0003-1344-6979</orcidid></search><sort><creationdate>20241223</creationdate><title>Risk Factors Related to Resting Metabolic Rate-Related DNAJC6 Gene Variation in Children with Overweight/Obesity: 3-Year Panel Study</title><author>Shin, Jieun ; Kang, Inhae ; Lee, Myoungsook</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c204t-392d2efcff81920e17db9abc502c880a77a48ea1abab84607fe7e14b58deeea43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Alleles</topic><topic>Basal Metabolism - genetics</topic><topic>Biochemistry</topic><topic>Body Mass Index</topic><topic>Child</topic><topic>Children & youth</topic><topic>Cholesterol</topic><topic>Diet</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Genes</topic><topic>Genetic Predisposition to Disease</topic><topic>Genomes</topic><topic>Humans</topic><topic>Intellectual disabilities</topic><topic>Kinases</topic><topic>Longitudinal studies</topic><topic>Male</topic><topic>Metabolism</topic><topic>Mutation</topic><topic>Obesity</topic><topic>Overweight</topic><topic>Overweight - genetics</topic><topic>Pediatric Obesity - genetics</topic><topic>Pediatrics</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Quality control</topic><topic>Risk Factors</topic><topic>Students</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shin, Jieun</creatorcontrib><creatorcontrib>Kang, Inhae</creatorcontrib><creatorcontrib>Lee, Myoungsook</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Physical Education Index</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</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><jtitle>Nutrients</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shin, Jieun</au><au>Kang, Inhae</au><au>Lee, Myoungsook</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risk Factors Related to Resting Metabolic Rate-Related DNAJC6 Gene Variation in Children with Overweight/Obesity: 3-Year Panel Study</atitle><jtitle>Nutrients</jtitle><addtitle>Nutrients</addtitle><date>2024-12-23</date><risdate>2024</risdate><volume>16</volume><issue>24</issue><spage>4423</spage><pages>4423-</pages><issn>2072-6643</issn><eissn>2072-6643</eissn><abstract>This study investigated how the
gene variation related to RMR alteration affects risk factors of obese environments in children with obesity aged 8-9.
Over a three-year follow-up period, 63.3% of original students participated. Changes in the variables (anthropometrics, blood biochemistry, and dietary intakes) were analyzed and compared between those without obesity (non-OB) and with obesity (OB) classified at the study endpoint.
The average MAF of nine SNPs (
to
) was defined as 18.1%. The OB group showed greater increases in RMR, BMI, WC, and SBP, while the non-OB group had significantly greater increases in HDL and intakes of nutrients (e.g., total calories, vitamins B2, C, folate, A, retinol, iron, and zinc). Increased RMR, BMI, BW, and RMR/BW changes were observed with mutant allele of
SNP, which was also associated with a higher prevalence of obesity. Greater increases in animal fat intake, including saturated fatty acids and retinol, were noted in the minor alleles of
,
, and
SNPs compared to those of the major alleles. The odds ratio for BMI risk was significantly higher in the mutant alleles of
and
compared to the wild type, with increases of 2.59 times (CI; 1.068-6.274), 1.86 times (CI; 1.012-3.422), and 1.85 times (CI; 1.008-3.416), respectively. RMR was a mild risk factor in minors of the
; however, a higher RMR/BW ratio significantly correlated with decreased BMI risk, and this effect was found in only the major alleles of
and
SNPs, not in the minor alleles. High retinol intake appeared to reduce obesity risk in the minor alleles of the
,
, and
SNPs, even though intake of animal fats and retinol remained higher among minors over the three years.
These findings suggest that the RMR/BW ratio and dietary fat/retinol intake should be considered in
-gene-based precision medicine approaches for pediatric obesity prevention, particularly for boys.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>39771044</pmid><doi>10.3390/nu16244423</doi><orcidid>https://orcid.org/0000-0001-9352-5591</orcidid><orcidid>https://orcid.org/0000-0002-6192-2610</orcidid><orcidid>https://orcid.org/0000-0003-1344-6979</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Alleles Basal Metabolism - genetics Biochemistry Body Mass Index Child Children & youth Cholesterol Diet Female Follow-Up Studies Genes Genetic Predisposition to Disease Genomes Humans Intellectual disabilities Kinases Longitudinal studies Male Metabolism Mutation Obesity Overweight Overweight - genetics Pediatric Obesity - genetics Pediatrics Polymorphism, Single Nucleotide Quality control Risk Factors Students Variables |
title | Risk Factors Related to Resting Metabolic Rate-Related DNAJC6 Gene Variation in Children with Overweight/Obesity: 3-Year Panel Study |
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