Adipose tissue measurement in clinical research for obesity, type 2 diabetes and NAFLD/NASH

Abstract Introduction Excess body fat is linked to higher risks for metabolic syndrome, type 2 diabetes mellitus (T2DM), and cardiovascular disease (CV), among other health conditions. However, it is not only the level but also the distribution of body fat that contributes to increased disease risks...

Full description

Bibliographic Details
Main Authors: Adrian Vilalta, Julio A. Gutiérrez, SuZanne Chaves, Moisés Hernández, Silvia Urbina, Marcus Hompesch
Format: Article
Language:English
Published: Wiley 2022-05-01
Series:Endocrinology, Diabetes & Metabolism
Subjects:
Online Access:https://doi.org/10.1002/edm2.335
_version_ 1811307831594319872
author Adrian Vilalta
Julio A. Gutiérrez
SuZanne Chaves
Moisés Hernández
Silvia Urbina
Marcus Hompesch
author_facet Adrian Vilalta
Julio A. Gutiérrez
SuZanne Chaves
Moisés Hernández
Silvia Urbina
Marcus Hompesch
author_sort Adrian Vilalta
collection DOAJ
description Abstract Introduction Excess body fat is linked to higher risks for metabolic syndrome, type 2 diabetes mellitus (T2DM), and cardiovascular disease (CV), among other health conditions. However, it is not only the level but also the distribution of body fat that contributes to increased disease risks. For example, an increased level of abdominal fat, or visceral adipose tissue (VAT), is associated with a higher risk of nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH). Methods A review of the most relevant primary and secondary sources on body composition from the last 25 years was conducted. Relevant articles were identified using PUBMED and Google Scholar. Narrative synthesis was performed as statistical pooling was not possible due to the heterogeneous nature of the studies. Results The body mass index (BMI) is commonly used as a proxy measure of body fatness. However, BMI does not reflect the level and distribution of body fat. Other anthropometric methods such as waist circumference measurement and waist‐hip ratio, as well as methodologies like hydro densitometry, bioelectrical impedance, and isotope dilution are also limited in their ability to determine body fat distribution. Imaging techniques to define body composition have greatly improved performance over traditional approaches. Ultrasound (US), computed tomography (CT), dual‐energy X‐ray absorptiometry (DXA), magnetic resonance imaging (MRI), are now commonly used in clinical research. Of these, MRI can provide the most accurate and high‐resolution measure of body composition. In addition, MRI techniques are considered the best for the determination of fat at the organ level. On the other hand, imaging modalities require specialized, often expensive equipment and expert operation. Conclusions Anthropometric methods are suitable for rapid, high‐volume screening of subjects but do not provide information on body fat distribution. Imaging techniques are more accurate but are expensive and do not lend themselves for high throughput. Therefore, successful trial strategies require a tiered approach in which subjects are first screened using anthropometric methods followed by more sophisticated modalities during the execution of the trial. This article provides a brief description of the most clinically relevant adipose tissue measurement techniques and discusses their value in obesity, diabetes, and NAFLD/NASH clinical research.
first_indexed 2024-04-13T09:12:22Z
format Article
id doaj.art-a207543d3db446cebf83e0a4db924539
institution Directory Open Access Journal
issn 2398-9238
language English
last_indexed 2024-04-13T09:12:22Z
publishDate 2022-05-01
publisher Wiley
record_format Article
series Endocrinology, Diabetes & Metabolism
spelling doaj.art-a207543d3db446cebf83e0a4db9245392022-12-22T02:52:51ZengWileyEndocrinology, Diabetes & Metabolism2398-92382022-05-0153n/an/a10.1002/edm2.335Adipose tissue measurement in clinical research for obesity, type 2 diabetes and NAFLD/NASHAdrian Vilalta0Julio A. Gutiérrez1SuZanne Chaves2Moisés Hernández3Silvia Urbina4Marcus Hompesch5ProSciento San Diego California USAProSciento San Diego California USAProSciento San Diego California USAProSciento San Diego California USAProSciento San Diego California USAProSciento San Diego California USAAbstract Introduction Excess body fat is linked to higher risks for metabolic syndrome, type 2 diabetes mellitus (T2DM), and cardiovascular disease (CV), among other health conditions. However, it is not only the level but also the distribution of body fat that contributes to increased disease risks. For example, an increased level of abdominal fat, or visceral adipose tissue (VAT), is associated with a higher risk of nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH). Methods A review of the most relevant primary and secondary sources on body composition from the last 25 years was conducted. Relevant articles were identified using PUBMED and Google Scholar. Narrative synthesis was performed as statistical pooling was not possible due to the heterogeneous nature of the studies. Results The body mass index (BMI) is commonly used as a proxy measure of body fatness. However, BMI does not reflect the level and distribution of body fat. Other anthropometric methods such as waist circumference measurement and waist‐hip ratio, as well as methodologies like hydro densitometry, bioelectrical impedance, and isotope dilution are also limited in their ability to determine body fat distribution. Imaging techniques to define body composition have greatly improved performance over traditional approaches. Ultrasound (US), computed tomography (CT), dual‐energy X‐ray absorptiometry (DXA), magnetic resonance imaging (MRI), are now commonly used in clinical research. Of these, MRI can provide the most accurate and high‐resolution measure of body composition. In addition, MRI techniques are considered the best for the determination of fat at the organ level. On the other hand, imaging modalities require specialized, often expensive equipment and expert operation. Conclusions Anthropometric methods are suitable for rapid, high‐volume screening of subjects but do not provide information on body fat distribution. Imaging techniques are more accurate but are expensive and do not lend themselves for high throughput. Therefore, successful trial strategies require a tiered approach in which subjects are first screened using anthropometric methods followed by more sophisticated modalities during the execution of the trial. This article provides a brief description of the most clinically relevant adipose tissue measurement techniques and discusses their value in obesity, diabetes, and NAFLD/NASH clinical research.https://doi.org/10.1002/edm2.335adipose tissue distributiondiabetesNAFLD/NASHobesity
spellingShingle Adrian Vilalta
Julio A. Gutiérrez
SuZanne Chaves
Moisés Hernández
Silvia Urbina
Marcus Hompesch
Adipose tissue measurement in clinical research for obesity, type 2 diabetes and NAFLD/NASH
Endocrinology, Diabetes & Metabolism
adipose tissue distribution
diabetes
NAFLD/NASH
obesity
title Adipose tissue measurement in clinical research for obesity, type 2 diabetes and NAFLD/NASH
title_full Adipose tissue measurement in clinical research for obesity, type 2 diabetes and NAFLD/NASH
title_fullStr Adipose tissue measurement in clinical research for obesity, type 2 diabetes and NAFLD/NASH
title_full_unstemmed Adipose tissue measurement in clinical research for obesity, type 2 diabetes and NAFLD/NASH
title_short Adipose tissue measurement in clinical research for obesity, type 2 diabetes and NAFLD/NASH
title_sort adipose tissue measurement in clinical research for obesity type 2 diabetes and nafld nash
topic adipose tissue distribution
diabetes
NAFLD/NASH
obesity
url https://doi.org/10.1002/edm2.335
work_keys_str_mv AT adrianvilalta adiposetissuemeasurementinclinicalresearchforobesitytype2diabetesandnafldnash
AT julioagutierrez adiposetissuemeasurementinclinicalresearchforobesitytype2diabetesandnafldnash
AT suzannechaves adiposetissuemeasurementinclinicalresearchforobesitytype2diabetesandnafldnash
AT moiseshernandez adiposetissuemeasurementinclinicalresearchforobesitytype2diabetesandnafldnash
AT silviaurbina adiposetissuemeasurementinclinicalresearchforobesitytype2diabetesandnafldnash
AT marcushompesch adiposetissuemeasurementinclinicalresearchforobesitytype2diabetesandnafldnash