A Sensitive Reporter Mouse Model to Study Adipocyte‐Derived Extracellular Vesicles In Vivo

Extracellular vesicles (EVs) affect the function of cells in living animals. Yet, cell type-specific EV abundances and their distribution in biological fluids are technically challenging to study. Thus, we aimed to develop an in vivo EV reporter system to monitor cell-type-specific EVs, with a focus on adipocyte-derived EVs. While our previously generated EV reporter construct had insufficient sensitivity, we successfully created a sensitive EV reporter using an adeno-associated virus (AAV) vector with Cre-activated expression of human CD63 fused to NanoLuc (CD63-NanoLuc). Moreover, we designed a control AAV construct for monitoring constitutive secretion of NanoLuc (sec-NanoLuc). AAV administration to mice induced adipocyte-specific expression of both reporters. NanoLuc activity was detected in plasma. While sec-NanoLuc was predominantly in plasma and urine, CD63-NanoLuc was highest in adipose tissues (ATs). We challenged mice with a 2-week high-fat diet (HFD), which had minimal effects on body weight and adipogenic markers. Still, the HFD-fed CD63-NanoLuc mice, but not sec-NanoLuc mice, showed significantly higher NanoLuc activity in ATs, lungs, kidneys and urine. Thus, our CD63-NanoLuc and sec-NanoLuc constructs revealed an early effect of HFD on the abundance and distribution of adipocyte-derived EVs and provide a sensitive system for monitoring cell-type-specific EVs in health and disease.

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Publication Details

Journal
Journal of Extracellular Vesicles
Published
2026-02-01
DOI
https://doi.org/10.1002/jev2.70243
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.00

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article

A Sensitive Reporter Mouse Model to Study Adipocyte‐Derived Extracellular Vesicles In Vivo

Lasse Bach Steffensen, Didde R. Hansen, Rugivan Sabaratnam, Per Svenningsen
Journal of Extracellular Vesicles
Extracellular vesicles in disease
article

A Sensitive Reporter Mouse Model to Study Adipocyte‐Derived Extracellular Vesicles In Vivo

Lasse Bach Steffensen, Didde R. Hansen, Rugivan Sabaratnam, Per Svenningsen
article en

Abstract

Extracellular vesicles (EVs) affect the function of cells in living animals. Yet, cell type-specific EV abundances and their distribution in biological fluids are technically challenging to study. Thus, we aimed to develop an in vivo EV reporter system to monitor cell-type-specific EVs, with a focus on adipocyte-derived EVs. While our previously generated EV reporter construct had insufficient sensitivity, we successfully created a sensitive EV reporter using an adeno-associated virus (AAV) vector with Cre-activated expression of human CD63 fused to NanoLuc (CD63-NanoLuc). Moreover, we designed a control AAV construct for monitoring constitutive secretion of NanoLuc (sec-NanoLuc). AAV administration to mice induced adipocyte-specific expression of both reporters. NanoLuc activity was detected in plasma. While sec-NanoLuc was predominantly in plasma and urine, CD63-NanoLuc was highest in adipose tissues (ATs). We challenged mice with a 2-week high-fat diet (HFD), which had minimal effects on body weight and adipogenic markers. Still, the HFD-fed CD63-NanoLuc mice, but not sec-NanoLuc mice, showed significantly higher NanoLuc activity in ATs, lungs, kidneys and urine. Thus, our CD63-NanoLuc and sec-NanoLuc constructs revealed an early effect of HFD on the abundance and distribution of adipocyte-derived EVs and provide a sensitive system for monitoring cell-type-specific EVs in health and disease.

Journal of Extracellular VesiclesVol. 15(2)
Steno Diabetes Centers (DK), University of Southern Denmark (DK), Odense University Hospital (DK)
European Commission, Novo Nordisk, Novo Nordisk Fonden, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 49%
Extracellular vesicles in disease
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A Sensitive Reporter Mouse Model to Study Adipocyte‐Derived Extracellular Vesicles In Vivo — Lasse Bach Steffensen, Didde R. Hansen, et al. · Journal of Extracellular Vesicles (2026) | TGRS Research Map | TGRS