Urinary metabolomics reveals glycemic and coffee associated signatures of thyroid function in two population-based cohorts
نویسندگان
چکیده
BACKGROUND Triiodothyronine (T3) and thyroxine (T4) as the main secretion products of the thyroid affect nearly every human tissue and are involved in a broad range of processes ranging from energy expenditure and lipid metabolism to glucose homeostasis. Metabolomics studies outside the focus of clinical manifest thyroid diseases are rare. The aim of the present investigation was to analyze the cross-sectional and longitudinal associations of urinary metabolites with serum free T4 (FT4) and thyroid-stimulating hormone (TSH). METHODS Urine Metabolites of participants of the population-based studies Inter99 (n = 5620) and Health2006/Health2008 (n = 3788) were analyzed by 1H-NMR spectroscopy. Linear or mixed linear models were used to detect associations between urine metabolites and thyroid function. RESULTS Cross-sectional analyses revealed positive relations of alanine, trigonelline and lactic acid with FT4 and negative relations of dimethylamine, glucose, glycine and lactic acid with log(TSH). In longitudinal analyses, lower levels of alanine, dimethylamine, glycine, lactic acid and N,N-dimethylglycine were linked to a higher decline in FT4 levels over time, whereas higher trigonelline levels were related to a higher FT4 decline. Moreover, the risk of hypothyroidism was higher in subjects with high baseline trigonelline or low lactic acid, alanine or glycine values. CONCLUSION The detected associations mainly emphasize the important role of thyroid hormones in glucose homeostasis. In addition, the predictive character of these metabolites might argue for a potential feedback of the metabolic state on thyroid function. Besides known metabolic consequences of TH, the link to the urine excretion of trigonelline, a marker of coffee consumption, represents a novel finding of this study and given the ubiquitous consumption of coffee requires further research.
منابع مشابه
Metabolomics approach reveals urine biomarkers and pathways associated with the pathogenesis of lupus nephritis
Objective(s): lupus nephritis (LN) is a severe form of systemic lupus erythematosus (SLE) with renal complications. Current diagnosis is based on invasive renal biopsy and serum antibodies and complement levels that are not specific enough. The current study aims to identify new biomarker candidates for non-invasive diagnosis of LN and explore the pathogenic mechanisms...
متن کاملFrequency of Thyroid Function Disorders among a Population of Very-Low-Birth-Weight Premature Infants
Background: Thyroid function disorders, particularly congenital hypothyroidism (CHT), are important endocrine dysfunctions associated with permanent morbidities. CHT is more prevalent among preterm low-birth-weight neonates compared to term infants with normal weight. Methods: This prospective cohort study was conducted on 126 very-low-birth-weight (VLBW) neonates referred to the neonatal inten...
متن کاملSerum-based metabolic alterations in patients with papillary thyroid carcinoma unveiled by non-targeted 1H-NMR metabolomics approach
Objective(s): As the most prevalent endocrine system malignancy, papillary thyroid carcinoma had a very fast rising incidence in recent years for unknown reasons besides the fact that the current methods in thyroid cancer diagnosis still hold some limitations. Therefore, the aim of this study was to improve the potential molecular markers for diagnosis of benign and malignant thyroid nodules to...
متن کاملAssociation between Thyroid Function and Body Mass Index in Tehran Thyroid Study Population
Introduction: The prevalence of overweight and obesity is alarmingly rising around the world. With the increasing prevalence of obesity, study of thyroid disorders, caused by an abnormal increase in the body mass index (BMI), is becoming more and more important. This study aimed to evaluate the association between increased BMI and thyroid hormones among Iranians participating in the Tehran Thy...
متن کاملClassification of Chronic Kidney Disease Patients via k-important Neighbors in High Dimensional Metabolomics Dataset
Background: Chronic kidney disease (CKD), characterized by progressive loss of renal function, is becoming a growing problem in the general population. New analytical technologies such as “omics”-based approaches, including metabolomics, provide a useful platform for biomarker discovery and improvement of CKD management. In metabolomics studies, not only prediction accuracy is ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره 12 شماره
صفحات -
تاریخ انتشار 2017