Use of <i>UCHL1</i> Gene Expression to Estimate Adipocyte Size

Adipocyte size is linked to insulin resistance and the risk of developing type 2 diabetes. A surrogate method was generated to estimate adipocyte size by measuring adipose tissue gene expression using quantitative real-time PCR. UCHL1 expression was found to correlate across a wide range of adipocyte cell volumes (38-1,420 pL) and to strongly and independently correlate with measured adipocyte volume when examined alongside measures for insulin resistance. Clinicians can use this method to estimate adipocyte size from an adipose tissue needle biopsy and routine quantitative real-time PCR measurement using the provided equation and methodological framework.

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Journal
Diabetes
Published
2025-10-20
DOI
https://doi.org/10.2337/db25-0222
Primary Topic
Adipose Tissue and Metabolism
Type
article
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article

Use of UCHL1 Gene Expression to Estimate Adipocyte Size

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Use of UCHL1 Gene Expression to Estimate Adipocyte Size

Ingrid Dahlman, Alastair G. Kerr, Peter Arner, Laura G. Rico, Jiawei Zhong, Na Wang, Katharina Schormair
article en

Abstract

Adipocyte size is linked to insulin resistance and the risk of developing type 2 diabetes. A surrogate method was generated to estimate adipocyte size by measuring adipose tissue gene expression using quantitative real-time PCR. UCHL1 expression was found to correlate across a wide range of adipocyte cell volumes (38-1,420 pL) and to strongly and independently correlate with measured adipocyte volume when examined alongside measures for insulin resistance. Clinicians can use this method to estimate adipocyte size from an adipose tissue needle biopsy and routine quantitative real-time PCR measurement using the provided equation and methodological framework.

DiabetesVol. 74(12)
Karolinska University Hospital (SE), Karolinska Institutet (SE)
Openalex Percentile: Top 62%
Adipose Tissue and Metabolism
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