Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Obesity01:24

Obesity

456
The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
456
Regression Toward the Mean01:52

Regression Toward the Mean

6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
Synthesis and Regulation of Thyroid Hormones01:20

Synthesis and Regulation of Thyroid Hormones

4.5K
Low blood levels of the thyroid hormones — triiodothyronine (T3) and thyroxine (T4) — signal the hypothalamus to release the thyrotropin-releasing hormone (TRH). TRH then reaches the pituitary gland and stimulates the release of thyroid-stimulating hormone(TSH) into the bloodstream.
Upon reaching the thyroid gland, TSH stimulates the follicular cells' active uptake of iodide ions from the blood. The ions diffuse to the apical surface of the cells and are oxidized to iodine. The...
4.5K
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

93
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
93
Functions of Thyroid Hormones01:18

Functions of Thyroid Hormones

2.7K
The thyroid hormone (TH) plays a pivotal role in the intricate orchestration of physiological processes, exerting profound effects on development, metabolism, and homeostasis throughout different life stages.
TH is indispensable for the normal development and maturation of the skeletal, muscular, and nervous systems during fetal and childhood growth. It facilitates bone mineral turnover and regulates protein synthesis in developing tissues, contributing significantly to overall growth and...
2.7K
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

214
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
214

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Multiomics Assessment of the Gut Microbiome in Rare Hyperoxaluric Conditions.

Kidney international reports·2024
Same author

Dewatering and valorizing lake sediments by electroosmotic dewatering for lakes restoration.

Environmental science and pollution research international·2024
Same author

The human ATAD5 has evolved unique structural elements to function exclusively as a PCNA unloader.

Nature structural & molecular biology·2024
Same author

Total Syntheses of (±)-Acetoxymarsupellone and (±)-Marsupellins A, B, and D Enabled by a Reductive Cyclization and Semipinacol Rearrangement Strategy.

Organic letters·2024
Same author

Limited Evidence of Shared Decision Making for Prostate Cancer Screening in Audio-Recorded Primary Care Visits Among Black Men and their Healthcare Providers.

Journal of immigrant and minority health·2024
Same author

Consensus, controversies, and conundrums of P4-ATPases: The emerging face of eukaryotic lipid flippases.

The Journal of biological chemistry·2024

Related Experiment Video

Updated: Jun 25, 2025

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
14:56

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies

Published on: May 6, 2022

4.5K

Assessing the causal relationship between obesity and hypothyroidism using Mendelian randomization.

Xin Li1, Huilin Li1, Tao Hong2

  • 1Department of Minimally Invasive, Hernia and Abdominal Surgery, People's Hospital of Xinjiang Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China.

Journal of Investigative Medicine : the Official Publication of the American Federation for Clinical Research
|May 24, 2024
PubMed
Summary

This study suggests obesity may cause hypothyroidism. Key risk factors for subclinical hypothyroidism in obese patients include age and lower FT4 levels, aiding early diagnosis.

Keywords:
Mendelian randomizationObesitypredictive valuesubclinical hypothyroidismthyroid autoantibodies

More Related Videos

Segmentation and Measurement of Fat Volumes in Murine Obesity Models Using X-ray Computed Tomography
13:09

Segmentation and Measurement of Fat Volumes in Murine Obesity Models Using X-ray Computed Tomography

Published on: April 4, 2012

16.1K
Generation of a Mouse Spontaneous Autoimmune Thyroiditis Model
04:39

Generation of a Mouse Spontaneous Autoimmune Thyroiditis Model

Published on: March 17, 2023

1.6K

Related Experiment Videos

Last Updated: Jun 25, 2025

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
14:56

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies

Published on: May 6, 2022

4.5K
Segmentation and Measurement of Fat Volumes in Murine Obesity Models Using X-ray Computed Tomography
13:09

Segmentation and Measurement of Fat Volumes in Murine Obesity Models Using X-ray Computed Tomography

Published on: April 4, 2012

16.1K
Generation of a Mouse Spontaneous Autoimmune Thyroiditis Model
04:39

Generation of a Mouse Spontaneous Autoimmune Thyroiditis Model

Published on: March 17, 2023

1.6K

Area of Science:

  • Endocrinology
  • Metabolic Disorders
  • Genetics

Background:

  • Obesity is a global health concern.
  • Hypothyroidism, particularly subclinical hypothyroidism (SCH), can impact metabolic health.
  • The causal link between obesity and hypothyroidism requires further investigation.

Purpose of the Study:

  • To investigate the causal relationship between obesity and hypothyroidism using Mendelian randomization.
  • To identify risk factors for SCH in obese individuals.
  • To assess the predictive value of FT4 levels for SCH in obesity.

Main Methods:

  • Mendelian randomization analysis with five methods (MR Egger, Weighted Median, IVW, Simple Mode, Weighted Mode).
  • Analysis of clinical data from 308 obese patients.
  • Univariate and multivariate logistic regression to identify risk factors.

Main Results:

  • A significant association between obesity and hypothyroidism was observed.
  • SCH patients exhibited higher age, TSH, and autoantibody positivity, with lower T4/FT4 levels.
  • Age, FT4, thyroid autoantibodies (TPO-Ab, Tg-Ab) were identified as risk factors for SCH.

Conclusions:

  • Obesity may have a causal effect on hypothyroidism.
  • FT4 levels demonstrated significant predictive value for SCH in obese patients (AUC=0.632).
  • Identifying risk factors like FT4 can support early diagnosis and prevention of SCH in obesity.