Childhood obesity accelerates biological ageing: is oxidative stress a link?
Obesity is a multifactorial pathophysiological condition with an imbalance in biochemical, immunochemical, redox status and genetic parameters values. We aimed to estimate the connection between relative leucocyte telomere lengths (rLTL) – biomarker of cellular ageing with metabolic and redox status...
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| Veröffentlicht in: | British journal of nutrition 2024-07, Vol.132 (2), p.227-235 |
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| creator | Subošić, Branko Zdravković, Vera Ješić, Maja Munjas, Jelena Kovačević, Smiljka Guzonjić, Azra Mitrović, Jadranka Saso, Luciano Đuričić, Ivana Kotur-Stevuljević, Jelena |
| description | Obesity is a multifactorial pathophysiological condition with an imbalance in biochemical, immunochemical, redox status and genetic parameters values. We aimed to estimate the connection between relative leucocyte telomere lengths (rLTL) – biomarker of cellular ageing with metabolic and redox status biomarkers values in a group of obese and lean children. The study includes 110 obese and 42 lean children and adolescents, both sexes. The results suggested that rLTL are significantly shorter in obese, compared with lean group (P < 0·01). Negative correlation of rLTL with total oxidant status (TOS) (Spearman’s ρ = –0·365, P < 0·001) as well as with C-reactive protein (Spearman’s ρ = –0·363, P < 0·001) were observed. Principal component analysis (PCA) extracted three distinct factors (i.e. principal components) entitled as: prooxidant factor with 35 % of total variability; antioxidant factor with 30 % of total variability and lipid antioxidant – biological ageing factor with 12 % of the total variability. The most important predictor of BMI > 30 kg/m2 according to logistic regression analysis was PCA-derived antioxidant factor’s score (OR: 1·66, 95th Cl 1·05–2·6, P = 0·029). PCA analysis confirmed that oxidative stress importance in biological ageing is caused by obesity and its multiple consequences related to prooxidants augmentation and antioxidants exhaustion and gave us clear signs of disturbed cellular homoeostasis deepness, even before any overt disease occurrence. |
| doi_str_mv | 10.1017/S0007114524000898 |
| format | Article |
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We aimed to estimate the connection between relative leucocyte telomere lengths (rLTL) – biomarker of cellular ageing with metabolic and redox status biomarkers values in a group of obese and lean children. The study includes 110 obese and 42 lean children and adolescents, both sexes. The results suggested that rLTL are significantly shorter in obese, compared with lean group (P < 0·01). Negative correlation of rLTL with total oxidant status (TOS) (Spearman’s ρ = –0·365, P < 0·001) as well as with C-reactive protein (Spearman’s ρ = –0·363, P < 0·001) were observed. Principal component analysis (PCA) extracted three distinct factors (i.e. principal components) entitled as: prooxidant factor with 35 % of total variability; antioxidant factor with 30 % of total variability and lipid antioxidant – biological ageing factor with 12 % of the total variability. The most important predictor of BMI > 30 kg/m2 according to logistic regression analysis was PCA-derived antioxidant factor’s score (OR: 1·66, 95th Cl 1·05–2·6, P = 0·029). PCA analysis confirmed that oxidative stress importance in biological ageing is caused by obesity and its multiple consequences related to prooxidants augmentation and antioxidants exhaustion and gave us clear signs of disturbed cellular homoeostasis deepness, even before any overt disease occurrence.</description><identifier>ISSN: 0007-1145</identifier><identifier>ISSN: 1475-2662</identifier><identifier>EISSN: 1475-2662</identifier><identifier>DOI: 10.1017/S0007114524000898</identifier><identifier>PMID: 38736405</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Adipocytes ; Aging ; Aging (biology) ; Antioxidants ; Behaviour, Appetite and Obesity ; Biomarkers ; Body fat ; C-reactive protein ; Childhood ; Children ; Childrens health ; Cholesterol ; High density lipoprotein ; Hypotheses ; Hypoxia ; Inflammation ; Leukocytes ; Lipids ; Low density lipoprotein ; Metabolism ; Obesity ; Oxidants ; Oxidation ; Oxidative stress ; Oxidizing agents ; Parameter estimation ; Pathophysiology ; Pediatrics ; Principal components analysis ; Regression analysis ; Sample size ; Sociodemographics ; Teenagers ; Telomeres ; Vascular endothelial growth factor</subject><ispartof>British journal of nutrition, 2024-07, Vol.132 (2), p.227-235</ispartof><rights>The Author(s), 2024. Published by Cambridge University Press on behalf of The Nutrition Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c368t-4899aedb3b9b1616ed5cfd5d100a663f0abe045c6d905fd3f411636ae38321283</cites><orcidid>0000-0002-2589-3808</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0007114524000898/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>164,314,776,780,27903,27904,55606</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38736405$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Subošić, Branko</creatorcontrib><creatorcontrib>Zdravković, Vera</creatorcontrib><creatorcontrib>Ješić, Maja</creatorcontrib><creatorcontrib>Munjas, Jelena</creatorcontrib><creatorcontrib>Kovačević, Smiljka</creatorcontrib><creatorcontrib>Guzonjić, Azra</creatorcontrib><creatorcontrib>Mitrović, Jadranka</creatorcontrib><creatorcontrib>Saso, Luciano</creatorcontrib><creatorcontrib>Đuričić, Ivana</creatorcontrib><creatorcontrib>Kotur-Stevuljević, Jelena</creatorcontrib><title>Childhood obesity accelerates biological ageing: is oxidative stress a link?</title><title>British journal of nutrition</title><addtitle>Br J Nutr</addtitle><description>Obesity is a multifactorial pathophysiological condition with an imbalance in biochemical, immunochemical, redox status and genetic parameters values. We aimed to estimate the connection between relative leucocyte telomere lengths (rLTL) – biomarker of cellular ageing with metabolic and redox status biomarkers values in a group of obese and lean children. The study includes 110 obese and 42 lean children and adolescents, both sexes. The results suggested that rLTL are significantly shorter in obese, compared with lean group (P < 0·01). Negative correlation of rLTL with total oxidant status (TOS) (Spearman’s ρ = –0·365, P < 0·001) as well as with C-reactive protein (Spearman’s ρ = –0·363, P < 0·001) were observed. Principal component analysis (PCA) extracted three distinct factors (i.e. principal components) entitled as: prooxidant factor with 35 % of total variability; antioxidant factor with 30 % of total variability and lipid antioxidant – biological ageing factor with 12 % of the total variability. The most important predictor of BMI > 30 kg/m2 according to logistic regression analysis was PCA-derived antioxidant factor’s score (OR: 1·66, 95th Cl 1·05–2·6, P = 0·029). PCA analysis confirmed that oxidative stress importance in biological ageing is caused by obesity and its multiple consequences related to prooxidants augmentation and antioxidants exhaustion and gave us clear signs of disturbed cellular homoeostasis deepness, even before any overt disease occurrence.</description><subject>Adipocytes</subject><subject>Aging</subject><subject>Aging (biology)</subject><subject>Antioxidants</subject><subject>Behaviour, Appetite and Obesity</subject><subject>Biomarkers</subject><subject>Body fat</subject><subject>C-reactive protein</subject><subject>Childhood</subject><subject>Children</subject><subject>Childrens health</subject><subject>Cholesterol</subject><subject>High density lipoprotein</subject><subject>Hypotheses</subject><subject>Hypoxia</subject><subject>Inflammation</subject><subject>Leukocytes</subject><subject>Lipids</subject><subject>Low density lipoprotein</subject><subject>Metabolism</subject><subject>Obesity</subject><subject>Oxidants</subject><subject>Oxidation</subject><subject>Oxidative stress</subject><subject>Oxidizing agents</subject><subject>Parameter estimation</subject><subject>Pathophysiology</subject><subject>Pediatrics</subject><subject>Principal components analysis</subject><subject>Regression analysis</subject><subject>Sample size</subject><subject>Sociodemographics</subject><subject>Teenagers</subject><subject>Telomeres</subject><subject>Vascular endothelial growth factor</subject><issn>0007-1145</issn><issn>1475-2662</issn><issn>1475-2662</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp1kE9LxDAQxYMo7rr6AbxIwIuXaqZJ09aLyOI_WPCgnkvaTLtZ282atOJ-e1t2VVA8zcD83pvHI-QY2DkwiC-eGGMxgIhC0W9JmuyQMYg4CkIpw10yHs7BcB-RA-8XAwMs3ScjnsRcChaNyWw6N7WeW6upzdGbdk1VUWCNTrXoaW5sbStTqJqqCs2yuqTGU_thtGrNO1LfOvSeKlqb5evVIdkrVe3xaDsn5OX25nl6H8we7x6m17Og4DJpA5GkqUKd8zzNQYJEHRWljjQwpqTkJVM5MhEVUqcsKjUvBYDkUiFPeAhhwifkbOO7cvatQ99mjfF96Fot0XY-4ywSgosQeI-e_kIXtnPLPl3GAcI4Tnuwp2BDFc5677DMVs40yq0zYNlQdfan6l5zsnXu8gb1t-Kr2x7gW1PV5M7oCn9-_2_7CSMnhso</recordid><startdate>20240728</startdate><enddate>20240728</enddate><creator>Subošić, Branko</creator><creator>Zdravković, Vera</creator><creator>Ješić, Maja</creator><creator>Munjas, Jelena</creator><creator>Kovačević, Smiljka</creator><creator>Guzonjić, Azra</creator><creator>Mitrović, Jadranka</creator><creator>Saso, Luciano</creator><creator>Đuričić, Ivana</creator><creator>Kotur-Stevuljević, Jelena</creator><general>Cambridge University Press</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7T5</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2589-3808</orcidid></search><sort><creationdate>20240728</creationdate><title>Childhood obesity accelerates biological ageing: is oxidative stress a link?</title><author>Subošić, Branko ; Zdravković, Vera ; Ješić, Maja ; Munjas, Jelena ; Kovačević, Smiljka ; Guzonjić, Azra ; Mitrović, Jadranka ; Saso, Luciano ; Đuričić, Ivana ; Kotur-Stevuljević, Jelena</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-4899aedb3b9b1616ed5cfd5d100a663f0abe045c6d905fd3f411636ae38321283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adipocytes</topic><topic>Aging</topic><topic>Aging (biology)</topic><topic>Antioxidants</topic><topic>Behaviour, Appetite and Obesity</topic><topic>Biomarkers</topic><topic>Body fat</topic><topic>C-reactive protein</topic><topic>Childhood</topic><topic>Children</topic><topic>Childrens health</topic><topic>Cholesterol</topic><topic>High density lipoprotein</topic><topic>Hypotheses</topic><topic>Hypoxia</topic><topic>Inflammation</topic><topic>Leukocytes</topic><topic>Lipids</topic><topic>Low density lipoprotein</topic><topic>Metabolism</topic><topic>Obesity</topic><topic>Oxidants</topic><topic>Oxidation</topic><topic>Oxidative stress</topic><topic>Oxidizing agents</topic><topic>Parameter estimation</topic><topic>Pathophysiology</topic><topic>Pediatrics</topic><topic>Principal components analysis</topic><topic>Regression analysis</topic><topic>Sample size</topic><topic>Sociodemographics</topic><topic>Teenagers</topic><topic>Telomeres</topic><topic>Vascular endothelial growth factor</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Subošić, Branko</creatorcontrib><creatorcontrib>Zdravković, Vera</creatorcontrib><creatorcontrib>Ješić, Maja</creatorcontrib><creatorcontrib>Munjas, Jelena</creatorcontrib><creatorcontrib>Kovačević, Smiljka</creatorcontrib><creatorcontrib>Guzonjić, Azra</creatorcontrib><creatorcontrib>Mitrović, Jadranka</creatorcontrib><creatorcontrib>Saso, Luciano</creatorcontrib><creatorcontrib>Đuričić, Ivana</creatorcontrib><creatorcontrib>Kotur-Stevuljević, Jelena</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>British journal of nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Subošić, Branko</au><au>Zdravković, Vera</au><au>Ješić, Maja</au><au>Munjas, Jelena</au><au>Kovačević, Smiljka</au><au>Guzonjić, Azra</au><au>Mitrović, Jadranka</au><au>Saso, Luciano</au><au>Đuričić, Ivana</au><au>Kotur-Stevuljević, Jelena</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Childhood obesity accelerates biological ageing: is oxidative stress a link?</atitle><jtitle>British journal of nutrition</jtitle><addtitle>Br J Nutr</addtitle><date>2024-07-28</date><risdate>2024</risdate><volume>132</volume><issue>2</issue><spage>227</spage><epage>235</epage><pages>227-235</pages><issn>0007-1145</issn><issn>1475-2662</issn><eissn>1475-2662</eissn><abstract>Obesity is a multifactorial pathophysiological condition with an imbalance in biochemical, immunochemical, redox status and genetic parameters values. We aimed to estimate the connection between relative leucocyte telomere lengths (rLTL) – biomarker of cellular ageing with metabolic and redox status biomarkers values in a group of obese and lean children. The study includes 110 obese and 42 lean children and adolescents, both sexes. The results suggested that rLTL are significantly shorter in obese, compared with lean group (P < 0·01). Negative correlation of rLTL with total oxidant status (TOS) (Spearman’s ρ = –0·365, P < 0·001) as well as with C-reactive protein (Spearman’s ρ = –0·363, P < 0·001) were observed. Principal component analysis (PCA) extracted three distinct factors (i.e. principal components) entitled as: prooxidant factor with 35 % of total variability; antioxidant factor with 30 % of total variability and lipid antioxidant – biological ageing factor with 12 % of the total variability. The most important predictor of BMI > 30 kg/m2 according to logistic regression analysis was PCA-derived antioxidant factor’s score (OR: 1·66, 95th Cl 1·05–2·6, P = 0·029). PCA analysis confirmed that oxidative stress importance in biological ageing is caused by obesity and its multiple consequences related to prooxidants augmentation and antioxidants exhaustion and gave us clear signs of disturbed cellular homoeostasis deepness, even before any overt disease occurrence.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>38736405</pmid><doi>10.1017/S0007114524000898</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-2589-3808</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adipocytes Aging Aging (biology) Antioxidants Behaviour, Appetite and Obesity Biomarkers Body fat C-reactive protein Childhood Children Childrens health Cholesterol High density lipoprotein Hypotheses Hypoxia Inflammation Leukocytes Lipids Low density lipoprotein Metabolism Obesity Oxidants Oxidation Oxidative stress Oxidizing agents Parameter estimation Pathophysiology Pediatrics Principal components analysis Regression analysis Sample size Sociodemographics Teenagers Telomeres Vascular endothelial growth factor |
| title | Childhood obesity accelerates biological ageing: is oxidative stress a link? |
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