There have been no systematic epidemiological evaluations of the relationship between thyroid autoimmunity and the clinical background of young patients with thyroid nodules. We aimed to clarify the clinical features associated with thyroglobulin or thyroperoxidase antibodies (thyroid autoantibodies [Tabs]) in children and young adults with nodules. We performed a cross-sectional study using data from 3,018 participants of 3-29 years of age with nodules, including thyroid cancer, from the Fukushima Health Management Survey. After stratification of the data for body mass index (BMI) and the bilateral width and thickness of the area (BWTAR) as indicators of thyroid volume for age, sex, body surface area (BSA), and sex-adjusted standard deviation score (SDS), trend analyses were performed. A logistic regression analysis was performed using tab-positivity as an objective variable. The overall prevalence of tab-positivity is 13.9%. It was high in females (17%), participants with diffuse goiter (DG) (19.2%), and those with papillary thyroid carcinoma (PTC) (12.8%). The age- and sex-adjusted odds ratios (95% confidence intervals) for BMI-SDS, BWTAR-SDS, presence of DG, diagnosis of PTC, and TSH concentrations were 0.962 (0.863-1.073), 1.263 (1.171-1.361), 7.357 (4.816-11.239), 2.787 (1.965-4.014), and 1.403 (1.257-1.564), respectively. Tab positivity was independently associated with a large thyroid, the presence of DG, the presence of PTC, and a high TSH concentration in patients with nodules. Based on the systematic epidemiologic evidence shown in young patients, Tab positivity might complement ultrasonography for the assessment of the thyroid function and identification of malignancy in younger patients with asymptomatic thyroid nodules.
{"title":"Potential implications of thyroid autoantibodies in children, adolescents, and young adults with thyroid nodules in Japan: The Fukushima Health Management Survey.","authors":"Rina Tazaki, Yurie Kobashi, Nana Nakahata, Mahiro Asano, Norikazu Abe, Haruka Ejiri, Ayako Sato, Natsuki Nagamine, Chisato Takahashi, Yukie Yamaya, Manabu Iwadate, Takashi Matsuzuka, Satoshi Suzuki, Tetsuya Ohira, Satoru Suzuki, Fumihiko Furuya, Hiroki Shimura, Shinichi Suzuki, Susumu Yokoya, Shunichi Yamashita, Hitoshi Ohto, Seiji Yasumura","doi":"10.1507/endocrj.EJ24-0293","DOIUrl":"https://doi.org/10.1507/endocrj.EJ24-0293","url":null,"abstract":"<p><p>There have been no systematic epidemiological evaluations of the relationship between thyroid autoimmunity and the clinical background of young patients with thyroid nodules. We aimed to clarify the clinical features associated with thyroglobulin or thyroperoxidase antibodies (thyroid autoantibodies [Tabs]) in children and young adults with nodules. We performed a cross-sectional study using data from 3,018 participants of 3-29 years of age with nodules, including thyroid cancer, from the Fukushima Health Management Survey. After stratification of the data for body mass index (BMI) and the bilateral width and thickness of the area (BWTAR) as indicators of thyroid volume for age, sex, body surface area (BSA), and sex-adjusted standard deviation score (SDS), trend analyses were performed. A logistic regression analysis was performed using tab-positivity as an objective variable. The overall prevalence of tab-positivity is 13.9%. It was high in females (17%), participants with diffuse goiter (DG) (19.2%), and those with papillary thyroid carcinoma (PTC) (12.8%). The age- and sex-adjusted odds ratios (95% confidence intervals) for BMI-SDS, BWTAR-SDS, presence of DG, diagnosis of PTC, and TSH concentrations were 0.962 (0.863-1.073), 1.263 (1.171-1.361), 7.357 (4.816-11.239), 2.787 (1.965-4.014), and 1.403 (1.257-1.564), respectively. Tab positivity was independently associated with a large thyroid, the presence of DG, the presence of PTC, and a high TSH concentration in patients with nodules. Based on the systematic epidemiologic evidence shown in young patients, Tab positivity might complement ultrasonography for the assessment of the thyroid function and identification of malignancy in younger patients with asymptomatic thyroid nodules.</p>","PeriodicalId":11631,"journal":{"name":"Endocrine journal","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142307382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Non-high-density lipoprotein cholesterol (non-HDL), a more readily available and reliable lipid parameter, is unclear in its association with type 2 diabetes (T2D). Previous studies assessing the relationship between non-HDL and T2D risk remains inconsistent results. We performed a meta-analysis to systematically evaluate this association. The PubMed, EMBASE, Medline, Web of Science, and Cochrane Library databases were systematically searched to find articles on "non-HDL" and "T2D" from inception to December 6, 2023. A random-effects model was used to calculate the effect estimates and 95% confidence intervals. Subgroup analyses and univariate Meta-regression were performed to explore sources of heterogeneity. The main exposure and outcome were non-HDL and T2D, respectively, in the general population. A total of 8 studies included 251,672 participants who met the inclusion criteria for this study. Meta-analysis showed that higher non-HDL increased the risk of T2D compared with the lower non-HDL group (total effect size: 1.16; 95% CI 1.079-1.251, p < 0.001). Subgroup analyses and Meta-regression of the association between non-HDL and T2D were not affected by region, proportion of men, sample size, or adjustment for confounders (including BMI, hypertension, waist circumference, and family history of diabetes). Higher non-HDL may be associated with an increased risk of T2D. Large prospective cohort studies are needed to validate these findings, and further studies are required in order to elucidate the underlying pathophysiologic mechanisms underlying the association between non-HDL and T2D.
{"title":"Association between non-high-density lipoprotein cholesterol and type 2 diabetes: a systematic review and meta-analysis of cohort studies.","authors":"Mengqi Han, Yue Shen, Xin Guo, Cheng Hong, Xincan Ji, Haoyang Guo, Yuelong Jin, Hui Yuan","doi":"10.1507/endocrj.EJ24-0189","DOIUrl":"https://doi.org/10.1507/endocrj.EJ24-0189","url":null,"abstract":"<p><p>Non-high-density lipoprotein cholesterol (non-HDL), a more readily available and reliable lipid parameter, is unclear in its association with type 2 diabetes (T2D). Previous studies assessing the relationship between non-HDL and T2D risk remains inconsistent results. We performed a meta-analysis to systematically evaluate this association. The PubMed, EMBASE, Medline, Web of Science, and Cochrane Library databases were systematically searched to find articles on \"non-HDL\" and \"T2D\" from inception to December 6, 2023. A random-effects model was used to calculate the effect estimates and 95% confidence intervals. Subgroup analyses and univariate Meta-regression were performed to explore sources of heterogeneity. The main exposure and outcome were non-HDL and T2D, respectively, in the general population. A total of 8 studies included 251,672 participants who met the inclusion criteria for this study. Meta-analysis showed that higher non-HDL increased the risk of T2D compared with the lower non-HDL group (total effect size: 1.16; 95% CI 1.079-1.251, p < 0.001). Subgroup analyses and Meta-regression of the association between non-HDL and T2D were not affected by region, proportion of men, sample size, or adjustment for confounders (including BMI, hypertension, waist circumference, and family history of diabetes). Higher non-HDL may be associated with an increased risk of T2D. Large prospective cohort studies are needed to validate these findings, and further studies are required in order to elucidate the underlying pathophysiologic mechanisms underlying the association between non-HDL and T2D.</p>","PeriodicalId":11631,"journal":{"name":"Endocrine journal","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142307381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-14DOI: 10.1507/endocrj.ej24-0256
Chenxi Yang, Yi Chen, Guangfeng Tang, Tongtong Shen, Li Li
The incidences of metabolic syndrome (MetS), denoting insulin resistance-associated various metabolic disorders, are increasing. This study aimed to identify new biomarkers for predicting MetS and provide a novel diagnostic approach. Herein, the expression profiles of c-Jun (JUN) and FBJ murine osteosarcoma viral oncogene homolog B (FOSB) in individuals with obesity and patients with MetS from the Gene Expression Omnibus database. Quantitative reverse transcription polymerase chain reaction (RT-qPCR) was used to evaluate the messenger RNA levels of JUN and FOSB in the peripheral blood of healthy volunteers (lean and obese) and patients with MetS (lean and obese), along with that in the adipose tissue and peripheral blood of obese mouse model. Furthermore, receiver operating characteristic (ROC) curve and logistic regression analyses were performed to determine the diagnostic value of JUN and FOSB in MetS. The expression profiles and RT-qPCR results showed that JUN and FOSB were highly expressed in individuals with obesity, obese mouse models, and patients with MetS. The ROC analysis results showed an area under the curve values of 0.872 and 0.879 for JUN, 0.802 and 0.962 for FOSB, and 0.946 and 0.979 for JUN–FOSB in the lean group and the group with obesity, respectively, in predicting MetS. Logistic regression analysis showed that the p-values of both JUN and FOSB as MetS-affecting factors were <0.05. Altogether, the findings of this study indicate that both JUN and FOSB, abnormally expressed in individuals with obesity, are good biomarkers of MetS.