ObesityPub Date : 2024-07-17DOI: 10.1002/oby.24089
Richard D. Mattes
{"title":"Sensory nutrition: lessons learned and opportunities","authors":"Richard D. Mattes","doi":"10.1002/oby.24089","DOIUrl":"10.1002/oby.24089","url":null,"abstract":"","PeriodicalId":215,"journal":{"name":"Obesity","volume":"32 8","pages":"1421-1424"},"PeriodicalIF":4.2,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141636263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ObesityPub Date : 2024-07-17DOI: 10.1002/oby.24092
Stephan Wueest, Chiara Scaffidi, Pim P. van Krieken, Nils K. Konrad, Christian Koch, Michael S. F. Wiedemann, Anne Goergen, Marcela Borsigova, Ioannis G. Lempesis, Jonas Fullin, Konstantinos N. Manolopoulos, Steffen Böttcher, Gijs H. Goossens, Matthias Blüher, Daniel Konrad
{"title":"Fas (CD95) expression in adipocytes contributes to diet-induced obesity","authors":"Stephan Wueest, Chiara Scaffidi, Pim P. van Krieken, Nils K. Konrad, Christian Koch, Michael S. F. Wiedemann, Anne Goergen, Marcela Borsigova, Ioannis G. Lempesis, Jonas Fullin, Konstantinos N. Manolopoulos, Steffen Böttcher, Gijs H. Goossens, Matthias Blüher, Daniel Konrad","doi":"10.1002/oby.24092","DOIUrl":"10.1002/oby.24092","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Induction of browning in white adipose tissue (WAT) increases energy expenditure and may be an attractive target for the treatment of obesity. Since activation of Fas (CD95) induces pathways known to blunt expression of uncoupling protein 1 (UCP1), we hypothesized that Fas expression in adipocytes inhibits WAT browning and thus contributes to the development of obesity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Adipocyte-specific Fas knockout (Fas<sup>Δadipo</sup>) and control littermate (Fas<sup>F/F</sup>) mice were fed a regular chow diet or a high-fat diet (HFD) for 20 weeks. Energy expenditure was assessed by indirect calorimetry, and browning was determined in subcutaneous WAT. In vitro, UCP1 was analyzed in subcutaneous murine adipocytes treated with or without Fas ligand. Moreover, <i>FAS</i> expression in WAT was correlated to <i>UCP1</i> and percentage of body fat in human individuals.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>HFD-fed Fas<sup>Δadipo</sup> mice displayed reduced body weight gain and blunted adiposity compared to control littermates. Concomitantly, whole-body energy expenditure and WAT browning were elevated. In cultured adipocytes, Fas ligand treatment blunted isoproterenol-induced UCP1 protein levels. In support of these findings in rodents, <i>FAS</i> expression in WAT correlated negatively with <i>UCP1</i> but positively with adiposity in human individuals.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Fas activation in adipocytes contributes to HFD-associated adiposity in rodents and may be a therapeutic target to reduce obesity and associated diseases.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"32 10","pages":"1812-1818"},"PeriodicalIF":4.2,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/oby.24092","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141636262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ObesityPub Date : 2024-07-15DOI: 10.1002/oby.24060
Carrie R. Ferrario, Heike Münzberg-Gruening, Linda Rinaman, J. Nicholas Betley, Stephanie L. Borgland, Monica Dus, Debra A. Fadool, Kathryn F. Medler, Gregory J. Morton, Darleen A. Sandoval, Claire B. de La Serre, Sarah A. Stanley, Kristy L. Townsend, Alan G. Watts, Padma Maruvada, Diana Cummings, Bradley M. Cooke
{"title":"Obesity- and diet-induced plasticity in systems that control eating and energy balance","authors":"Carrie R. Ferrario, Heike Münzberg-Gruening, Linda Rinaman, J. Nicholas Betley, Stephanie L. Borgland, Monica Dus, Debra A. Fadool, Kathryn F. Medler, Gregory J. Morton, Darleen A. Sandoval, Claire B. de La Serre, Sarah A. Stanley, Kristy L. Townsend, Alan G. Watts, Padma Maruvada, Diana Cummings, Bradley M. Cooke","doi":"10.1002/oby.24060","DOIUrl":"10.1002/oby.24060","url":null,"abstract":"<p>In April 2023, the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), in partnership with the National Institute of Child Health and Human Development, the National Institute on Aging, and the Office of Behavioral and Social Sciences Research, hosted a 2-day online workshop to discuss neural plasticity in energy homeostasis and obesity. The goal was to provide a broad view of current knowledge while identifying research questions and challenges regarding neural systems that control food intake and energy balance. This review includes highlights from the meeting and is intended both to introduce unfamiliar audiences with concepts central to energy homeostasis, feeding, and obesity and to highlight up-and-coming research in these areas that may be of special interest to those with a background in these fields. The overarching theme of this review addresses plasticity within the central and peripheral nervous systems that regulates and influences eating, emphasizing distinctions between healthy and disease states. This is by no means a comprehensive review because this is a broad and rapidly developing area. However, we have pointed out relevant reviews and primary articles throughout, as well as gaps in current understanding and opportunities for developments in the field.</p>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"32 8","pages":"1425-1440"},"PeriodicalIF":4.2,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11269035/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141622062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ObesityPub Date : 2024-07-12DOI: 10.1002/oby.24090
Luyu Xie, Joohan Kim, Jaime P. Almandoz, John Clark, M. Sunil Mathew, Bethany R. Cartwright, Sarah E. Barlow, Steven E. Lipshultz, Sarah E. Messiah
{"title":"Anthropometry for predicting cardiometabolic disease risk factors in adolescents","authors":"Luyu Xie, Joohan Kim, Jaime P. Almandoz, John Clark, M. Sunil Mathew, Bethany R. Cartwright, Sarah E. Barlow, Steven E. Lipshultz, Sarah E. Messiah","doi":"10.1002/oby.24090","DOIUrl":"10.1002/oby.24090","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Early screening prevents chronic diseases by identifying at-risk adolescents through anthropometric measurements, but predictive value in diverse groups is uncertain.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A cross-sectional analysis of 12- to 19-year-old individuals from the 2017–2018 National Health and Nutrition Examination Survey (NHANES) assessed the predictive ability of BMI percentile, total body fat percentage, waist circumference (WC), and waist-hip ratio (WHR) for four cardiometabolic risk factors across race and ethnicity groups using receiver operating characteristic curves.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The unweighted sample (<i>N</i> = 1194; 51.2% male individuals; 23.7% Hispanic, 13.2% non-Hispanic Black [NHB], 51.1% non-Hispanic White [NHW], 12.0% other/multirace) had a weighted prevalence of elevated blood pressure of 2.7%, hyperglycemia of 36.8%, hypertriglyceridemia of 4.8%, and low high-density lipoprotein (HDL) cholesterol of 15%. WHR (area under the curve [AUC] = 0.77), WC (AUC = 0.77), and BMI percentile (AUC = 0.73) outperformed total body fat percentage (AUC = 0.56) in predicting elevated blood pressure (<i>p</i> < 0.001 for all). BMI percentile was more accurate than total body fat percentage in predicting hypertriglyceridemia (AUC = 0.70 vs. 0.59; <i>p</i> = 0.02) and low HDL cholesterol (AUC = 0.69 vs. 0.59; <i>p</i> < 0.001). Race and ethnicity-based predictions varied: NHW adolescents had the highest AUC (0.89; <i>p</i> < 0.01) for elevated blood pressure prediction compared with Hispanic and NHB adolescents (AUC = 0.77 for both). Total body fat percentage was more accurate in predicting low HDL cholesterol among Hispanic versus NHW adolescents (AUC = 0.73 vs. 0.58; <i>p</i> = 0.04).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>WHR, WC, and BMI percentile are better predictors of cardiometabolic risk factors in adolescents than total body fat percentage. Predictive abilities differed by race and ethnicity, highlighting the importance of tailored risk assessment strategies.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"32 8","pages":"1558-1567"},"PeriodicalIF":4.2,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141592476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ObesityPub Date : 2024-07-10DOI: 10.1002/oby.24088
Ulf Holmbäck
{"title":"Response to review by Pan et al.","authors":"Ulf Holmbäck","doi":"10.1002/oby.24088","DOIUrl":"10.1002/oby.24088","url":null,"abstract":"","PeriodicalId":215,"journal":{"name":"Obesity","volume":"32 9","pages":"1603-1604"},"PeriodicalIF":4.2,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141581956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ObesityPub Date : 2024-07-10DOI: 10.1002/oby.24087
Xin-Hui Pan, Yip Han Chin, Mark Y. Chan, Nicholas W. S. Chew
{"title":"Response to “Response to review by Pan et al.”","authors":"Xin-Hui Pan, Yip Han Chin, Mark Y. Chan, Nicholas W. S. Chew","doi":"10.1002/oby.24087","DOIUrl":"10.1002/oby.24087","url":null,"abstract":"","PeriodicalId":215,"journal":{"name":"Obesity","volume":"32 9","pages":"1605-1606"},"PeriodicalIF":4.2,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141581955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ObesityPub Date : 2024-07-09DOI: 10.1002/oby.24066
Firozeh Farahmand, Michael Sidikpramana, Alyssa R. Gomez, Luis J. Rivera, Jacqueline R. Trzeciak, Sarah Sharif, Qijun Tang, Gina M. Leinninger, Ali D. Güler, Andrew D. Steele
{"title":"Dopamine production in neurotensin receptor 1 neurons is required for diet-induced obesity and increased day eating on a high-fat diet","authors":"Firozeh Farahmand, Michael Sidikpramana, Alyssa R. Gomez, Luis J. Rivera, Jacqueline R. Trzeciak, Sarah Sharif, Qijun Tang, Gina M. Leinninger, Ali D. Güler, Andrew D. Steele","doi":"10.1002/oby.24066","DOIUrl":"10.1002/oby.24066","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>This study aimed to determine a dopaminergic circuit required for diet-induced obesity in mice.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We created conditional deletion mutants for tyrosine hydroxylase (TH) using neurotensin receptor 1 (<i>Ntsr1</i>) <i>Cre</i> and other <i>Cre</i> drivers and measured feeding and body weight on standard and high-fat diets. We then used an adeno-associated virus to selectively restore TH to the ventral tegmental area (VTA) Ntsr1 neurons in conditional knockout (cKO) mice.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Mice with cKO of <i>Th</i> using <i>Vglut2-Cre</i>, <i>Cck-Cre</i>, <i>Calb1-Cre</i>, and <i>Bdnf-Cre</i> were susceptible to obesity on a high-fat diet; however, <i>Ntsr1-Cre</i> <i>Th</i> cKO mice resisted weight gain on a high-fat diet and did not experience an increase in day eating unlike their wild-type littermate controls. Restoration of TH to the VTA Ntsr1 neurons of the <i>Ntsr1-Cre</i> <i>Th</i> cKO mice using an adeno-associated virus resulted in an increase in weight gain and day eating on a high-fat diet.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p><i>Ntsr1-Cre</i> <i>Th</i> cKO mice failed to increase day eating on a high-fat diet, offering a possible explanation for their resistance to diet-induced obesity. These results implicate VTA Ntsr1 dopamine neurons as promoting out-of-phase feeding behavior on a high-fat diet that could be an important contributor to diet-induced obesity in humans.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"32 8","pages":"1448-1452"},"PeriodicalIF":4.2,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11269025/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141560662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ObesityPub Date : 2024-07-05DOI: 10.1002/oby.24070
Moustafa Al Hariri, Haya Al-Sulaiti, Najeha Anwardeen, Khaled Naja, Mohamed A. Elrayess
{"title":"Comparing the metabolic signatures of obesity defined by waist circumference, waist-hip ratio, or BMI","authors":"Moustafa Al Hariri, Haya Al-Sulaiti, Najeha Anwardeen, Khaled Naja, Mohamed A. Elrayess","doi":"10.1002/oby.24070","DOIUrl":"10.1002/oby.24070","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Measuring obesity is crucial for assessing health risks and developing effective prevention and treatment strategies. The most common methods used to measure obesity include BMI, waist circumference, and waist-hip ratio. This study aimed to determine the metabolic signatures associated with each measure of obesity in the Qatari population.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Metabolomics profiling was conducted to identify, quantify, and characterize metabolites in serum samples from the study participants. Inverse rank normalization, principal component analysis, and orthogonal partial least square-discriminant analysis were used to analyze the metabolomics data.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>This study revealed significant differences in metabolites associated with obesity based on different measurements. In men, phosphatidylcholine and phosphatidylethanolamine metabolites were significantly enriched in individuals classified as having obesity based on the waist-hip ratio. In women, significant changes were observed in leucine, isoleucine, and valine metabolism metabolites. Unique metabolites were found in the different categorization groups that could serve as biomarkers for assessing many obesity-related disorders.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>This study identified unique metabolic signatures associated with obesity based on different measurements in the Qatari population. These findings contribute to a better understanding of the molecular pathways involved in obesity and may have implications for developing personalized prevention and treatment strategies.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"32 8","pages":"1494-1507"},"PeriodicalIF":4.2,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/oby.24070","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141536289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ObesityPub Date : 2024-07-05DOI: 10.1002/oby.24064
Mona Mashayekhi, Quanhu Sheng, Samuel S. Bailin, Lucas Massier, Jiawei Zhong, Mingjian Shi, Celestine N. Wanjalla, Thomas J. Wang, T. Alp Ikizler, Kevin D. Niswender, Curtis L. Gabriel, Julia Palacios, Rachel Turgeon-Jones, Cassandra F. Reynolds, James M. Luther, Nancy J. Brown, Saumya Das, Ingrid Dahlman, Jonathan D. Mosley, John R. Koethe, Mikael Rydén, Katherine N. Bachmann, Ravi V. Shah
{"title":"The subcutaneous adipose transcriptome identifies a molecular signature of insulin resistance shared with visceral adipose","authors":"Mona Mashayekhi, Quanhu Sheng, Samuel S. Bailin, Lucas Massier, Jiawei Zhong, Mingjian Shi, Celestine N. Wanjalla, Thomas J. Wang, T. Alp Ikizler, Kevin D. Niswender, Curtis L. Gabriel, Julia Palacios, Rachel Turgeon-Jones, Cassandra F. Reynolds, James M. Luther, Nancy J. Brown, Saumya Das, Ingrid Dahlman, Jonathan D. Mosley, John R. Koethe, Mikael Rydén, Katherine N. Bachmann, Ravi V. Shah","doi":"10.1002/oby.24064","DOIUrl":"10.1002/oby.24064","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>The objective of this study was to identify the transcriptional landscape of insulin resistance (IR) in subcutaneous adipose tissue (SAT) in humans across the spectrum of obesity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used SAT RNA sequencing in 220 individuals with metabolic phenotyping.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We identified a 35-gene signature with high predictive accuracy for homeostatic model of IR that was expressed across a variety of non-immune cell populations. We observed primarily “protective” IR associations for adipocyte transcripts and “deleterious” associations for macrophage transcripts, as well as a high concordance between SAT and visceral adipose tissue (VAT). Multiple SAT genes exhibited dynamic expression 5 years after weight loss surgery and with insulin stimulation. Using available expression quantitative trait loci in SAT and/or VAT, we demonstrated similar genetic effect sizes of SAT and VAT on type 2 diabetes and BMI.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>SAT is conventionally viewed as a metabolic buffer for lipid deposition during positive energy balance, whereas VAT is viewed as a dominant contributor to and prime mediator of IR and cardiometabolic disease risk. Our results implicate a dynamic transcriptional architecture of IR that resides in both immune and non-immune populations in SAT and is shared with VAT, nuancing the current VAT-centric concept of IR in humans.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"32 8","pages":"1526-1540"},"PeriodicalIF":4.2,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11269023/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141536290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"No causal associations of genetically predicted birth weight and life course BMI with thyroid function and diseases","authors":"Xiaoqin Zhou, Weiqiang Ruan, Jing Li, Ting Wang, Huizhen Liu, Guiying Zhang","doi":"10.1002/oby.24095","DOIUrl":"10.1002/oby.24095","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Observational studies have suggested associations of birth weight, childhood BMI, and adulthood BMI with thyroid function or diseases. However, the causal relationships remain unclear due to residual confounding inherent in conventional epidemiological studies.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We performed a two-sample Mendelian randomization (MR) study to investigate causal relationships of genetically predicted birth weight, childhood BMI, and adulthood BMI with a range of clinically relevant thyroid outcomes. Additionally, we conducted a reverse MR analysis on adulthood BMI. Data on exposures and outcomes were obtained from large-scale genome-wide association study meta-analyses predominantly composed of individuals of European ancestry.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The MR analysis revealed no evidence of causal associations of birth weight or BMI at different life stages with thyrotropin (TSH) levels, hypothyroidism, hyperthyroidism, autoimmune thyroid disorders, or thyroid cancer. Contrarily, thyroid cancer demonstrated a significant causal relationship with increased adulthood BMI (β = 0.010, 95% CI: 0.006–0.015; <i>p</i> = 5.21 × 10<sup>−6</sup>).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Our comprehensive MR did not find causal links of birth weight, childhood BMI, or adulthood BMI with thyroid diseases but provided evidence that thyroid cancer may play a role in weight gain. Our research findings offer valuable insights into the intricate relationship between body weight and thyroid health throughout an individual's life.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"32 8","pages":"1585-1593"},"PeriodicalIF":4.2,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141494658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}