Allison C Sylvetsky , Ying Wang , Ananya G Reddy , Caroline Y Um , Rebecca A Hodge , Cari Lichtman , Diane Mitchell , Anuj Nanavati , Michael Pollak , Ye Wang , Alpa V Patel , Marjorie L McCullough
{"title":"在癌症预防研究-3饮食评估子研究中,非营养性甜味剂消费、代谢危险因素和炎症生物标志物","authors":"Allison C Sylvetsky , Ying Wang , Ananya G Reddy , Caroline Y Um , Rebecca A Hodge , Cari Lichtman , Diane Mitchell , Anuj Nanavati , Michael Pollak , Ye Wang , Alpa V Patel , Marjorie L McCullough","doi":"10.1016/j.tjnut.2025.03.020","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Nonnutritive sweeteners (NNSs) are widely used to replace added sugars, yet their role in metabolic health and chronic disease prevention is debated.</div></div><div><h3>Objective</h3><div>The objective of this study was to examine associations between NNS consumption, metabolic risk factors, and inflammatory biomarkers.</div></div><div><h3>Methods</h3><div>This cross-sectional analysis included 624 adults in the American Cancer Society’s Cancer Prevention Study-3 Diet Assessment Substudy (DAS). Consumption of NNS, including aspartame, saccharin, sucralose, and acesulfame-potassium, was estimated using the mean quantities reported in 6 24-h dietary recalls over 1 y. Fasting insulin, C-peptide, hemoglobin A1c (HbA1c), leptin, adiponectin, C-reactive protein (CRP), tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), and interleukin-10 (IL-10) were measured in fasting blood samples collected twice, 6 mo apart. Multivariable linear regression was used to examine associations between NNS consumption and the mean levels of each metabolic or inflammatory biomarker. Base models were adjusted for age, sex, race, education, smoking, and physical activity; full models were further adjusted for body mass index (BMI), diet quality (Healthy Eating Index 2020), and energy intake.</div></div><div><h3>Results</h3><div>More than half (55%) of participants reported consuming NNS (mean daily NNS consumption 7, 38, and 221 mg across tertiles). NNS consumption was positively associated with leptin (<em>P</em>-trend = 0.0006) and CRP (<em>P</em>-trend = 0.02), but associations were attenuated after adjustment for BMI, diet quality, and energy intake. NNS consumption was not associated with insulin, C-peptide, HbA1c, adiponectin, TNF-α, or IL-10. In analyses stratified by BMI, NNS consumption was positively associated with IL-6 among participants with BMI ≥25kg/m<sup>2</sup> but not BMI <25kg/m<sup>2</sup>.</div></div><div><h3>Conclusions</h3><div>Findings in the full sample were null after adjustment for energy intake and BMI, but NNS consumption was positively associated with IL-6 among participants with overweight or obesity. Investigation of mechanisms through which NNS consumption may impact inflammatory pathways is warranted.</div></div>","PeriodicalId":16620,"journal":{"name":"Journal of Nutrition","volume":"155 6","pages":"Pages 1952-1961"},"PeriodicalIF":3.7000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Nonnutritive Sweetener Consumption, Metabolic Risk Factors, and Inflammatory Biomarkers Among Adults in the Cancer Prevention Study-3 Diet Assessment Sub-Study\",\"authors\":\"Allison C Sylvetsky , Ying Wang , Ananya G Reddy , Caroline Y Um , Rebecca A Hodge , Cari Lichtman , Diane Mitchell , Anuj Nanavati , Michael Pollak , Ye Wang , Alpa V Patel , Marjorie L McCullough\",\"doi\":\"10.1016/j.tjnut.2025.03.020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Nonnutritive sweeteners (NNSs) are widely used to replace added sugars, yet their role in metabolic health and chronic disease prevention is debated.</div></div><div><h3>Objective</h3><div>The objective of this study was to examine associations between NNS consumption, metabolic risk factors, and inflammatory biomarkers.</div></div><div><h3>Methods</h3><div>This cross-sectional analysis included 624 adults in the American Cancer Society’s Cancer Prevention Study-3 Diet Assessment Substudy (DAS). Consumption of NNS, including aspartame, saccharin, sucralose, and acesulfame-potassium, was estimated using the mean quantities reported in 6 24-h dietary recalls over 1 y. Fasting insulin, C-peptide, hemoglobin A1c (HbA1c), leptin, adiponectin, C-reactive protein (CRP), tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), and interleukin-10 (IL-10) were measured in fasting blood samples collected twice, 6 mo apart. Multivariable linear regression was used to examine associations between NNS consumption and the mean levels of each metabolic or inflammatory biomarker. Base models were adjusted for age, sex, race, education, smoking, and physical activity; full models were further adjusted for body mass index (BMI), diet quality (Healthy Eating Index 2020), and energy intake.</div></div><div><h3>Results</h3><div>More than half (55%) of participants reported consuming NNS (mean daily NNS consumption 7, 38, and 221 mg across tertiles). NNS consumption was positively associated with leptin (<em>P</em>-trend = 0.0006) and CRP (<em>P</em>-trend = 0.02), but associations were attenuated after adjustment for BMI, diet quality, and energy intake. NNS consumption was not associated with insulin, C-peptide, HbA1c, adiponectin, TNF-α, or IL-10. In analyses stratified by BMI, NNS consumption was positively associated with IL-6 among participants with BMI ≥25kg/m<sup>2</sup> but not BMI <25kg/m<sup>2</sup>.</div></div><div><h3>Conclusions</h3><div>Findings in the full sample were null after adjustment for energy intake and BMI, but NNS consumption was positively associated with IL-6 among participants with overweight or obesity. Investigation of mechanisms through which NNS consumption may impact inflammatory pathways is warranted.</div></div>\",\"PeriodicalId\":16620,\"journal\":{\"name\":\"Journal of Nutrition\",\"volume\":\"155 6\",\"pages\":\"Pages 1952-1961\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Nutrition\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0022316625001725\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NUTRITION & DIETETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Nutrition","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022316625001725","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
Nonnutritive Sweetener Consumption, Metabolic Risk Factors, and Inflammatory Biomarkers Among Adults in the Cancer Prevention Study-3 Diet Assessment Sub-Study
Background
Nonnutritive sweeteners (NNSs) are widely used to replace added sugars, yet their role in metabolic health and chronic disease prevention is debated.
Objective
The objective of this study was to examine associations between NNS consumption, metabolic risk factors, and inflammatory biomarkers.
Methods
This cross-sectional analysis included 624 adults in the American Cancer Society’s Cancer Prevention Study-3 Diet Assessment Substudy (DAS). Consumption of NNS, including aspartame, saccharin, sucralose, and acesulfame-potassium, was estimated using the mean quantities reported in 6 24-h dietary recalls over 1 y. Fasting insulin, C-peptide, hemoglobin A1c (HbA1c), leptin, adiponectin, C-reactive protein (CRP), tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), and interleukin-10 (IL-10) were measured in fasting blood samples collected twice, 6 mo apart. Multivariable linear regression was used to examine associations between NNS consumption and the mean levels of each metabolic or inflammatory biomarker. Base models were adjusted for age, sex, race, education, smoking, and physical activity; full models were further adjusted for body mass index (BMI), diet quality (Healthy Eating Index 2020), and energy intake.
Results
More than half (55%) of participants reported consuming NNS (mean daily NNS consumption 7, 38, and 221 mg across tertiles). NNS consumption was positively associated with leptin (P-trend = 0.0006) and CRP (P-trend = 0.02), but associations were attenuated after adjustment for BMI, diet quality, and energy intake. NNS consumption was not associated with insulin, C-peptide, HbA1c, adiponectin, TNF-α, or IL-10. In analyses stratified by BMI, NNS consumption was positively associated with IL-6 among participants with BMI ≥25kg/m2 but not BMI <25kg/m2.
Conclusions
Findings in the full sample were null after adjustment for energy intake and BMI, but NNS consumption was positively associated with IL-6 among participants with overweight or obesity. Investigation of mechanisms through which NNS consumption may impact inflammatory pathways is warranted.
期刊介绍:
The Journal of Nutrition (JN/J Nutr) publishes peer-reviewed original research papers covering all aspects of experimental nutrition in humans and other animal species; special articles such as reviews and biographies of prominent nutrition scientists; and issues, opinions, and commentaries on controversial issues in nutrition. Supplements are frequently published to provide extended discussion of topics of special interest.