Effect of an Intensive Lifestyle Intervention on Circulating Biomarkers of Atrial Fibrillation-Related Pathways among Adults with Metabolic Syndrome: Results from a Randomized Trial
: Lifestyles influence atrial fibrillation (AF) risk. Determining the effect of lifestyle interventions on blood concentrations of biomarkers of AF-related pathways could help understand AF pathophysiology and contribute to AF prevention. : We studied 532 participants enrolled in the PREDIMED-Plus t...
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| Veröffentlicht in: | Journal of clinical medicine 2024-04, Vol.13 (7), p.2132 |
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| creator | Li, Linzi Alonso, Alvaro Romaguera, Dora Alonso-Gómez, Angel M Razquin, Cristina Tojal-Sierra, Lucas Fiol, Miquel Martínez-González, Miguel Angel Subramanya, Vinita Salas-Salvadó, Jordi Fito, Montserrat Toledo, Estefanía |
| description | : Lifestyles influence atrial fibrillation (AF) risk. Determining the effect of lifestyle interventions on blood concentrations of biomarkers of AF-related pathways could help understand AF pathophysiology and contribute to AF prevention.
: We studied 532 participants enrolled in the PREDIMED-Plus trial, a Spanish randomized trial conducted in adults (55-75 years) with metabolic syndrome and body mass index between 27-40 kg/m
. Eligible participants were randomized 1:1 to an intensive lifestyle intervention, emphasizing physical activity, weight loss, and adherence to an energy-reduced Mediterranean diet or to a control group. Serum biomarkers [carboxy-terminal propeptide of procollagen type I (PICP), high-sensitivity troponin T (hsTnT), high-sensitivity C reactive protein (hsCRP), 3-nitrotyrosine (3-NT), and N-terminal propeptide of B-type natriuretic peptide (NT-proBNP)] were measured at baseline, 3 and 5 years after randomization. Mixed models were used to evaluate the effect of intervention on changes in biomarkers through year 5. Mediation analysis was performed to examine the proportion mediated by each component of the intervention.
: At baseline, participants' mean age was 65, 40% were female, and 50% were assigned to the intervention. After five years, mean changes in log-transformed biomarkers were -0.01 (PICP), 0.20 (hsTnT), -0.17 (hsCRP), 0.12 (3-NT), and 0.27 (NT-proBNP). Compared to the control group, participants in the intervention group experienced greater decreases in hsCRP (-14%, 95% confidence interval (CI) -26%, 0%) or smaller increases in 3-NT (-16%, 95% CI -25%, -5%) and NT-proBNP (-12%, 95% CI -23%, 1%). The intervention had minimal impact on hsTnT (-3%, 95% CI -7%, 2%) or PICP concentrations (-2%, 95% CI -9%, 6%). The effect of the intervention on hsCRP was primarily mediated by weight loss (89% at year 5).
: Over five years, a dietary and lifestyle intervention for weight-loss favorably affected concentrations of hsCRP, 3-NT, and NT-proBNP, pointing to specific mechanisms in pathways linking lifestyles and AF. |
| doi_str_mv | 10.3390/jcm13072132 |
| format | Article |
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: We studied 532 participants enrolled in the PREDIMED-Plus trial, a Spanish randomized trial conducted in adults (55-75 years) with metabolic syndrome and body mass index between 27-40 kg/m
. Eligible participants were randomized 1:1 to an intensive lifestyle intervention, emphasizing physical activity, weight loss, and adherence to an energy-reduced Mediterranean diet or to a control group. Serum biomarkers [carboxy-terminal propeptide of procollagen type I (PICP), high-sensitivity troponin T (hsTnT), high-sensitivity C reactive protein (hsCRP), 3-nitrotyrosine (3-NT), and N-terminal propeptide of B-type natriuretic peptide (NT-proBNP)] were measured at baseline, 3 and 5 years after randomization. Mixed models were used to evaluate the effect of intervention on changes in biomarkers through year 5. Mediation analysis was performed to examine the proportion mediated by each component of the intervention.
: At baseline, participants' mean age was 65, 40% were female, and 50% were assigned to the intervention. After five years, mean changes in log-transformed biomarkers were -0.01 (PICP), 0.20 (hsTnT), -0.17 (hsCRP), 0.12 (3-NT), and 0.27 (NT-proBNP). Compared to the control group, participants in the intervention group experienced greater decreases in hsCRP (-14%, 95% confidence interval (CI) -26%, 0%) or smaller increases in 3-NT (-16%, 95% CI -25%, -5%) and NT-proBNP (-12%, 95% CI -23%, 1%). The intervention had minimal impact on hsTnT (-3%, 95% CI -7%, 2%) or PICP concentrations (-2%, 95% CI -9%, 6%). The effect of the intervention on hsCRP was primarily mediated by weight loss (89% at year 5).
: Over five years, a dietary and lifestyle intervention for weight-loss favorably affected concentrations of hsCRP, 3-NT, and NT-proBNP, pointing to specific mechanisms in pathways linking lifestyles and AF.</description><identifier>ISSN: 2077-0383</identifier><identifier>EISSN: 2077-0383</identifier><identifier>DOI: 10.3390/jcm13072132</identifier><identifier>PMID: 38610897</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Analysis ; Atrial fibrillation ; Biological markers ; Biomarkers ; Blood pressure ; Body mass index ; Cardiac arrhythmia ; Cholesterol ; Complications and side effects ; Creatinine ; Demographic aspects ; Diet ; Exercise ; Health aspects ; Inflammation ; Influence ; Life style ; Lifestyles ; Metabolic diseases ; Metabolic syndrome ; Overweight ; Oxidative stress ; Pathophysiology ; Population ; Public health ; Questionnaires ; Risk factors ; Sample size ; Weight control</subject><ispartof>Journal of clinical medicine, 2024-04, Vol.13 (7), p.2132</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><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-c309t-a3051f851f0c549f5993260528a4401377ef58f7fcdac9a38cb3b37a568a1f123</cites><orcidid>0000-0002-2225-8323 ; 0000-0003-2700-7459 ; 0000-0002-6263-4434 ; 0000-0002-5762-8558 ; 0000-0003-2945-7509 ; 0000-0003-3835-5598 ; 0000-0003-3480-2645 ; 0000-0002-3917-9808</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,27907,27908</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38610897$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Linzi</creatorcontrib><creatorcontrib>Alonso, Alvaro</creatorcontrib><creatorcontrib>Romaguera, Dora</creatorcontrib><creatorcontrib>Alonso-Gómez, Angel M</creatorcontrib><creatorcontrib>Razquin, Cristina</creatorcontrib><creatorcontrib>Tojal-Sierra, Lucas</creatorcontrib><creatorcontrib>Fiol, Miquel</creatorcontrib><creatorcontrib>Martínez-González, Miguel Angel</creatorcontrib><creatorcontrib>Subramanya, Vinita</creatorcontrib><creatorcontrib>Salas-Salvadó, Jordi</creatorcontrib><creatorcontrib>Fito, Montserrat</creatorcontrib><creatorcontrib>Toledo, Estefanía</creatorcontrib><title>Effect of an Intensive Lifestyle Intervention on Circulating Biomarkers of Atrial Fibrillation-Related Pathways among Adults with Metabolic Syndrome: Results from a Randomized Trial</title><title>Journal of clinical medicine</title><addtitle>J Clin Med</addtitle><description>: Lifestyles influence atrial fibrillation (AF) risk. Determining the effect of lifestyle interventions on blood concentrations of biomarkers of AF-related pathways could help understand AF pathophysiology and contribute to AF prevention.
: We studied 532 participants enrolled in the PREDIMED-Plus trial, a Spanish randomized trial conducted in adults (55-75 years) with metabolic syndrome and body mass index between 27-40 kg/m
. Eligible participants were randomized 1:1 to an intensive lifestyle intervention, emphasizing physical activity, weight loss, and adherence to an energy-reduced Mediterranean diet or to a control group. Serum biomarkers [carboxy-terminal propeptide of procollagen type I (PICP), high-sensitivity troponin T (hsTnT), high-sensitivity C reactive protein (hsCRP), 3-nitrotyrosine (3-NT), and N-terminal propeptide of B-type natriuretic peptide (NT-proBNP)] were measured at baseline, 3 and 5 years after randomization. Mixed models were used to evaluate the effect of intervention on changes in biomarkers through year 5. Mediation analysis was performed to examine the proportion mediated by each component of the intervention.
: At baseline, participants' mean age was 65, 40% were female, and 50% were assigned to the intervention. After five years, mean changes in log-transformed biomarkers were -0.01 (PICP), 0.20 (hsTnT), -0.17 (hsCRP), 0.12 (3-NT), and 0.27 (NT-proBNP). Compared to the control group, participants in the intervention group experienced greater decreases in hsCRP (-14%, 95% confidence interval (CI) -26%, 0%) or smaller increases in 3-NT (-16%, 95% CI -25%, -5%) and NT-proBNP (-12%, 95% CI -23%, 1%). The intervention had minimal impact on hsTnT (-3%, 95% CI -7%, 2%) or PICP concentrations (-2%, 95% CI -9%, 6%). The effect of the intervention on hsCRP was primarily mediated by weight loss (89% at year 5).
: Over five years, a dietary and lifestyle intervention for weight-loss favorably affected concentrations of hsCRP, 3-NT, and NT-proBNP, pointing to specific mechanisms in pathways linking lifestyles and AF.</description><subject>Analysis</subject><subject>Atrial fibrillation</subject><subject>Biological markers</subject><subject>Biomarkers</subject><subject>Blood pressure</subject><subject>Body mass index</subject><subject>Cardiac arrhythmia</subject><subject>Cholesterol</subject><subject>Complications and side effects</subject><subject>Creatinine</subject><subject>Demographic aspects</subject><subject>Diet</subject><subject>Exercise</subject><subject>Health aspects</subject><subject>Inflammation</subject><subject>Influence</subject><subject>Life style</subject><subject>Lifestyles</subject><subject>Metabolic diseases</subject><subject>Metabolic syndrome</subject><subject>Overweight</subject><subject>Oxidative stress</subject><subject>Pathophysiology</subject><subject>Population</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Risk factors</subject><subject>Sample size</subject><subject>Weight control</subject><issn>2077-0383</issn><issn>2077-0383</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptkt9vFCEQxzdGY5vaJ98NiS8mZissuwf4dl5abXJGc9bnzSw7tJy70ALb5vy__P9k29pUIz_CMPnMlwGmKF4yesS5ou-2emSciorx6kmxX1EhSsolf_rI3isOY9zS3KSsKyaeF3tcLhiVSuwXv46NQZ2INwQcOXUJXbTXSNbWYEy7AW994Rpdst6RPFY26GmAZN05-WD9COEHhjgLLFOwMJAT2wU7zIR35QazgT35CuniBnaRwOhz4LKfhhTJjU0X5DMm6PxgNfm2c33wI74nG4y3gMlbAmQDrvej_ZmFzuYzXhTPDAwRD-_Xg-L7yfHZ6lO5_vLxdLVcl5pTlUrgtGFG5kl1UyvTKMWrBW0qCXVNGRcCTSONMLoHrYBL3fGOC2gWEphhFT8o3tzpXgZ_NeUHaUcbNebLOfRTbHl-36xU1TKjr_9Bt34KLmc3U6LmiuVPeqDOYcDWOuNTAD2LtkuhKGWqWczU0X-o3HscrfYOjc3-vwLe3gXo4GMMaNrLYPPP7FpG27lO2kd1kulX96lO3Yj9A_unKvhvF224ow</recordid><startdate>20240407</startdate><enddate>20240407</enddate><creator>Li, Linzi</creator><creator>Alonso, Alvaro</creator><creator>Romaguera, Dora</creator><creator>Alonso-Gómez, Angel M</creator><creator>Razquin, Cristina</creator><creator>Tojal-Sierra, Lucas</creator><creator>Fiol, Miquel</creator><creator>Martínez-González, Miguel Angel</creator><creator>Subramanya, Vinita</creator><creator>Salas-Salvadó, Jordi</creator><creator>Fito, Montserrat</creator><creator>Toledo, Estefanía</creator><general>MDPI AG</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</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>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2225-8323</orcidid><orcidid>https://orcid.org/0000-0003-2700-7459</orcidid><orcidid>https://orcid.org/0000-0002-6263-4434</orcidid><orcidid>https://orcid.org/0000-0002-5762-8558</orcidid><orcidid>https://orcid.org/0000-0003-2945-7509</orcidid><orcidid>https://orcid.org/0000-0003-3835-5598</orcidid><orcidid>https://orcid.org/0000-0003-3480-2645</orcidid><orcidid>https://orcid.org/0000-0002-3917-9808</orcidid></search><sort><creationdate>20240407</creationdate><title>Effect of an Intensive Lifestyle Intervention on Circulating Biomarkers of Atrial Fibrillation-Related Pathways among Adults with Metabolic Syndrome: Results from a Randomized Trial</title><author>Li, Linzi ; Alonso, Alvaro ; Romaguera, Dora ; Alonso-Gómez, Angel M ; Razquin, Cristina ; Tojal-Sierra, Lucas ; Fiol, Miquel ; Martínez-González, Miguel Angel ; Subramanya, Vinita ; Salas-Salvadó, Jordi ; Fito, Montserrat ; Toledo, Estefanía</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c309t-a3051f851f0c549f5993260528a4401377ef58f7fcdac9a38cb3b37a568a1f123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Analysis</topic><topic>Atrial fibrillation</topic><topic>Biological markers</topic><topic>Biomarkers</topic><topic>Blood pressure</topic><topic>Body mass index</topic><topic>Cardiac arrhythmia</topic><topic>Cholesterol</topic><topic>Complications and side effects</topic><topic>Creatinine</topic><topic>Demographic aspects</topic><topic>Diet</topic><topic>Exercise</topic><topic>Health aspects</topic><topic>Inflammation</topic><topic>Influence</topic><topic>Life style</topic><topic>Lifestyles</topic><topic>Metabolic diseases</topic><topic>Metabolic syndrome</topic><topic>Overweight</topic><topic>Oxidative stress</topic><topic>Pathophysiology</topic><topic>Population</topic><topic>Public health</topic><topic>Questionnaires</topic><topic>Risk factors</topic><topic>Sample size</topic><topic>Weight control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Linzi</creatorcontrib><creatorcontrib>Alonso, Alvaro</creatorcontrib><creatorcontrib>Romaguera, Dora</creatorcontrib><creatorcontrib>Alonso-Gómez, Angel M</creatorcontrib><creatorcontrib>Razquin, Cristina</creatorcontrib><creatorcontrib>Tojal-Sierra, Lucas</creatorcontrib><creatorcontrib>Fiol, Miquel</creatorcontrib><creatorcontrib>Martínez-González, Miguel Angel</creatorcontrib><creatorcontrib>Subramanya, Vinita</creatorcontrib><creatorcontrib>Salas-Salvadó, Jordi</creatorcontrib><creatorcontrib>Fito, Montserrat</creatorcontrib><creatorcontrib>Toledo, Estefanía</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</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 Edition)</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 Korea</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>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>MEDLINE - Academic</collection><jtitle>Journal of clinical medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Linzi</au><au>Alonso, Alvaro</au><au>Romaguera, Dora</au><au>Alonso-Gómez, Angel M</au><au>Razquin, Cristina</au><au>Tojal-Sierra, Lucas</au><au>Fiol, Miquel</au><au>Martínez-González, Miguel Angel</au><au>Subramanya, Vinita</au><au>Salas-Salvadó, Jordi</au><au>Fito, Montserrat</au><au>Toledo, Estefanía</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effect of an Intensive Lifestyle Intervention on Circulating Biomarkers of Atrial Fibrillation-Related Pathways among Adults with Metabolic Syndrome: Results from a Randomized Trial</atitle><jtitle>Journal of clinical medicine</jtitle><addtitle>J Clin Med</addtitle><date>2024-04-07</date><risdate>2024</risdate><volume>13</volume><issue>7</issue><spage>2132</spage><pages>2132-</pages><issn>2077-0383</issn><eissn>2077-0383</eissn><abstract>: Lifestyles influence atrial fibrillation (AF) risk. Determining the effect of lifestyle interventions on blood concentrations of biomarkers of AF-related pathways could help understand AF pathophysiology and contribute to AF prevention.
: We studied 532 participants enrolled in the PREDIMED-Plus trial, a Spanish randomized trial conducted in adults (55-75 years) with metabolic syndrome and body mass index between 27-40 kg/m
. Eligible participants were randomized 1:1 to an intensive lifestyle intervention, emphasizing physical activity, weight loss, and adherence to an energy-reduced Mediterranean diet or to a control group. Serum biomarkers [carboxy-terminal propeptide of procollagen type I (PICP), high-sensitivity troponin T (hsTnT), high-sensitivity C reactive protein (hsCRP), 3-nitrotyrosine (3-NT), and N-terminal propeptide of B-type natriuretic peptide (NT-proBNP)] were measured at baseline, 3 and 5 years after randomization. Mixed models were used to evaluate the effect of intervention on changes in biomarkers through year 5. Mediation analysis was performed to examine the proportion mediated by each component of the intervention.
: At baseline, participants' mean age was 65, 40% were female, and 50% were assigned to the intervention. After five years, mean changes in log-transformed biomarkers were -0.01 (PICP), 0.20 (hsTnT), -0.17 (hsCRP), 0.12 (3-NT), and 0.27 (NT-proBNP). Compared to the control group, participants in the intervention group experienced greater decreases in hsCRP (-14%, 95% confidence interval (CI) -26%, 0%) or smaller increases in 3-NT (-16%, 95% CI -25%, -5%) and NT-proBNP (-12%, 95% CI -23%, 1%). The intervention had minimal impact on hsTnT (-3%, 95% CI -7%, 2%) or PICP concentrations (-2%, 95% CI -9%, 6%). The effect of the intervention on hsCRP was primarily mediated by weight loss (89% at year 5).
: Over five years, a dietary and lifestyle intervention for weight-loss favorably affected concentrations of hsCRP, 3-NT, and NT-proBNP, pointing to specific mechanisms in pathways linking lifestyles and AF.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>38610897</pmid><doi>10.3390/jcm13072132</doi><orcidid>https://orcid.org/0000-0002-2225-8323</orcidid><orcidid>https://orcid.org/0000-0003-2700-7459</orcidid><orcidid>https://orcid.org/0000-0002-6263-4434</orcidid><orcidid>https://orcid.org/0000-0002-5762-8558</orcidid><orcidid>https://orcid.org/0000-0003-2945-7509</orcidid><orcidid>https://orcid.org/0000-0003-3835-5598</orcidid><orcidid>https://orcid.org/0000-0003-3480-2645</orcidid><orcidid>https://orcid.org/0000-0002-3917-9808</orcidid><oa>free_for_read</oa></addata></record> |
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| source | PubMed Central Open Access; MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals; PubMed Central |
| subjects | Analysis Atrial fibrillation Biological markers Biomarkers Blood pressure Body mass index Cardiac arrhythmia Cholesterol Complications and side effects Creatinine Demographic aspects Diet Exercise Health aspects Inflammation Influence Life style Lifestyles Metabolic diseases Metabolic syndrome Overweight Oxidative stress Pathophysiology Population Public health Questionnaires Risk factors Sample size Weight control |
| title | Effect of an Intensive Lifestyle Intervention on Circulating Biomarkers of Atrial Fibrillation-Related Pathways among Adults with Metabolic Syndrome: Results from a Randomized Trial |
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