Obesity is a major risk factor for
multiple chronic diseases.
Anthropometric
and imaging approaches are primarily used to assess adiposity, and
there is a dearth of techniques to determine the changes in adipose
tissue (AT) at the molecular level. Extracellular vesicles (EVs) have
emerged as a novel and less invasive source of biomarkers for various
pathologies. Furthermore, the possibility of enriching cell or tissue-specific
EVs from the biofluids based on their unique surface markers has led
to classifying these vesicles as “liquid biopsies”,
offering valuable molecular information on hard-to-access tissues.
Here, we isolated small EVs from AT (sEVAT) of lean and
diet-induced obese (DIO) mice, identified unique surface proteins
on sEVAT by surface shaving followed by mass spectrometry,
and developed a signature of five unique proteins. Using this signature,
we pulled out sEVAT from the blood of mice and validated
the specificity of isolated sEVAT by measuring the expression
of adiponectin, 38 adipokines on an array, and several adipose tissue-related
miRNAs. Furthermore, we provided evidence of sEV applicability in
disease prediction by characterizing sEVAT from the blood
of lean and DIO mice. Interestingly, sEVAT‑DIO cargo
showed a stronger pro-inflammatory effect on THP1 monocytes compared
to sEVAT‑Lean and a significant increase in obesity-associated
miRNA expression. Equally important, sEVAT cargo revealed
an obesity-associated aberrant amino acid metabolism that was subsequently
validated in the corresponding AT. Lastly, we show a significant increase
in inflammation-related molecules in sEVAT isolated from
the blood of nondiabetic obese (>30 kg/m2) individuals.
Overall, the present study offers a less-invasive approach to characterize
AT.