Cited by 124Adipokines, Inflammation, and Metabolic DiseasesAdipose Tissue and MetabolismCardiovascular Disease and Adiposity

The DOI matches its Crossref record; 42 of the 43 references it cites were found in a registry or an index; none of the 37 sources its claims cite is checked for support yet.

Adipose tissue and metabolic alterations: regional differences in fat cell size and number matter, but differently: a cross-sectional study.

Rydén, Mikael, Andersson, Daniel P., Bergström, Ingrid B., Arner, Peter·2014·The Journal of Clinical Endocrinology & Metabolism

Abstract

OBJECTIVE: White adipose tissue can expand by increasing the size and/or number of fat cells. Although increased sc and visceral fat cell size associates with an adverse metabolic profile, the relationship with fat cell number in either depot is unknown. We hypothesized that adipocyte number and size displayed different relationships with clinically relevant metabolic variables. METHODS: This was a cross-sectional study of 204 patients scheduled for gastric bypass surgery. Fat cell size and number were determined in visceral and abdominal sc adipose tissue and related to insulin sensitivity (by hyperinsulinemic euglycemic clamp), fasting plasma levels of insulin, triglycerides and high-density lipoprotein (HDL) cholesterol. RESULTS: Visceral and sc fat cell volumes were positively correlated with insulin and triglyceride levels and negatively with insulin sensitivity and HDL-cholesterol (P = .0020 or better). In contrast, although visceral fat cell number did not associate with any metabolic parameter, sc adipocyte number displayed a positive association with insulin sensitivity and HDL-cholesterol and a negative relationship with insulin and triglyceride levels (P = .0014 or better). All results were independent of body fat mass. CONCLUSIONS: Variations in fat cell size and number correlate differently with metabolic parameters in obesity. Increased fat cell size in visceral and sc depots associates with a pernicious metabolic profile, whereas increased sc, but not visceral, fat cell number correlates with a more beneficial phenotype. Whether determination of sc fat cell number, in addition to adipocyte size, may have a predictive value for the risk of type 2 diabetes needs to be demonstrated in prospective or mechanistic studies.

Overview

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TL;DR

In 204 patients undergoing gastric bypass, visceral and subcutaneous fat cell volume associated with a worse metabolic profile, while subcutaneous fat cell number associated with a more favorable insulin/lipid profile. These relationships were independent of total body fat mass, but the cross-sectional design cannot establish causality.

Key findings

  • Visceral and subcutaneous fat cell volume correlated positively with plasma insulin and triglycerides and negatively with insulin sensitivity and HDL-cholesterol (P = .0020 or better). For example, visceral fat cell volume vs plasma insulin: r = 0.45, P < .0001; vs insulin sensitivity: r = −0.42, P < .0001.
  • Visceral fat cell number did not associate with any studied metabolic parameter (e.g., plasma insulin r = −0.080, P = .28; insulin sensitivity r = −0.0038, P = .96).
  • Subcutaneous fat cell number showed the opposite pattern from fat cell volume: positive with insulin sensitivity (r = 0.25, P = .0014) and HDL-cholesterol (r = 0.29, P < .0001), negative with plasma insulin (r = −0.26, P = .0003) and triglycerides (r = −0.35, P < .0001).
  • In multiple linear regression corrected for total body fat, subcutaneous fat cell number remained associated with plasma insulin (Std β = −0.34, P < .0001), insulin sensitivity (Std β = 0.31, P = .0002), triglycerides (Std β = −0.38, P < .0001), and HDL-cholesterol (Std β = 0.35, P < .0001).

Methods

  • Cross-sectional study of 204 patients referred for Roux-en-Y gastric bypass surgery (age 18–60 years; BMI >30 kg/m² with obesity-related complications or BMI >35 kg/m²); ESAT/EVAT values were obtainable from 188 subjects.
  • Abdominal subcutaneous fat biopsy was obtained by needle aspiration, and visceral fat biopsy from the greater omentum during surgery. Fat cell size was determined by measuring 100 isolated adipocytes; fat cell number was estimated from depot weight divided by mean fat cell weight.
  • Insulin sensitivity was measured by hyperinsulinemic-euglycemic clamp; fasting plasma insulin, triglycerides, and HDL-cholesterol were measured. DEXA with CoreScan estimated visceral and subcutaneous abdominal fat masses. Analyses used Spearman correlation, ANCOVA, and multiple linear regression, with Bonferroni correction.

Limitations

  • The paper states that correlations ranged from −0.5 to +0.5, suggesting relatively large interindividual differences in adipocyte size/number are needed to observe metabolic differences; the cohort was rather homogeneous, predominantly women, and larger studies including normal-weight subjects and more men might yield different or stronger correlations.
  • The paper states that fat cell number is calculated from two independent parameters (depot size and mean adipocyte weight), so determinations are only relevant for ESAT and EVAT; DEXA/CoreScan measures are indirect, and no visceral adipose tissue phantom was used for calibration.
  • The paper states that only a limited set of metabolic phenotypes was studied, the cohort included T2DM and/or hypertension with gender imbalance, and predictive/causal relationships require prospective or mechanistic validation. Evident from the text: the cross-sectional design cannot establish causality, and the bariatric-surgery population may not represent obese individuals in the general population.

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Integrity signals

Registry

Crossref · 10.1210/jc.2014-1526

Cites

42 of 42 references verified0 citation errors · 0 not checkable

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  • It may state two separate claims as one. 17
  • Probably not a substantial claim. 21
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  • The paper relies on this without support.

    The relationship between adipocyte number and insulin resistance and other metabolic variables associated with T2DM risk was unknown at the time of the study.

    “However, the relationship between adipocyte number and insulin resistance as well as other metabolic variables associated with T2DM risk is unknown.”
  • The authors state this as an assumption.

    Mean fat cell weight can be obtained by multiplying fat cell volume by 0.915, assuming fat cell density equals that of human adipose triglycerides.

    “Assuming a mean density of fat cells equal to that of human adipose triglycerides, mean fat cell weight was obtained by multiplying the volume by 0.915 (ie, the density in grams per milliliter of triolein).”
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Metadata

Authors
Rydén, M., Andersson, D. P., Bergström, I. B., & Arner, P.
Affiliations
Karolinska University Hospital (SE)
Corresponding author
Rydén, Mikael
Venue
The Journal of Clinical Endocrinology & Metabolism
Published
2014-10
Volume
99
Issue
10
Pages
E1870-E1876
ISSN
  • 0021-972X (ISSN-L)
  • 1945-7197
OpenAlex
W2114647414
Cited by
124
References
43
Citations by year
2026: 7 · 2025: 8 · 2024: 10 · 2023: 10 · 2022: 11 · 2021: 10 · 2020: 10 · 2019: 9 · 2018: 18 · 2017: 12 · 2016: 4 · 2015: 15
FWCI
7.81
Type
journal article
Language
en
Open access
closed
Locations
  • The Journal of Clinical Endocrinology & Metabolism (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Eli Lilly and Company
  • Karolinska Institutet
  • Novo Nordisk
  • Vetenskapsrådet
  • European Association for the Study of Diabetes
  • Novo Nordisk Fonden (NNF14OC0010187, NNF12OC1016371)
  • U.S. Food and Drug Administration
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
  • Health Sciences › Medicine › Physiology (medical) › Adipose Tissue and Metabolism
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
Keywords
white adipose tissue, adipocyte size, adipocyte number, visceral adipose tissue, subcutaneous adipose tissue, insulin sensitivity, insulin resistance, type 2 diabetes risk, HDL cholesterol, triglycerides, obesity, gastric bypass, metabolic phenotypes
MeSH terms
Adolescent, Adult, Cross-Sectional Studies, Diabetes Mellitus, Type 2, Female, Humans, Insulin, Insulin Resistance, Cholesterol, HDL, Male, Middle Aged, Obesity, Morbid, Omentum, Triglycerides, Glucose Clamp Technique, Adipocytes, Cell Size, Subcutaneous Fat, Intra-Abdominal Fat, Young Adult, Preoperative Period

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