Life sciences · Journal article
Adipocyte · August 18, 2026
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This preclinical study demonstrates that perivascular adipose tissue (PVAT) and non-PVAT adipocytes exhibit distinct depot-specific autofluorescence signatures when measured by flow cytometry in rats. The findings suggest autofluorescence may serve as a label-free approach to distinguish adipocyte populations, but remain exploratory and require validation in larger samples and human tissue.
Prospective preclinical characterization study in rodents. Male Sprague-Dawley rats, 8–10 weeks old, body weight 300–350 grams; housed with 12:12 h light–dark cycle at 22 °C, ad libitum access to standard chow and distilled water.. Intervention: Autofluorescence profiling by flow cytometry of isolated adipocytes from PVAT and non-PVAT depots using multispectral excitation and emission filters.. Compared with: Comparison of autofluorescence profiles between PVAT depots (thoracic aorta, abdominal aorta, mesenteric artery) and phenotype-matched non-PVAT counterparts (interscapular brown, subcutaneous, retroperitoneal adipose tissue).. n = 6. Single centre, Michigan State University (source: author affiliations); animals from Charles River Laboratories, Portage, MI, USA..
Thoracic PVAT and interscapular brown adipose tissue exhibit similar autofluorescence profiles Mesenteric and abdominal PVAT sites diverge across yellow, red, and violet channels compared with non-PVAT depots (retroperitoneal and subcutaneous) PVAT adipocytes show higher autofluorescence intensity in specific emission ranges compared with non-PVAT counterparts
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This foundational work may eventually inform non-invasive, label-free methods to phenotype adipocyte populations in cardiovascular disease research, but clinical applicability remains distant and unproven. The approach requires validation in human tissue and larger animal cohorts before therapeutic or diagnostic application.
This is a small, single-centre, proof-of-concept study in rats using a novel autofluorescence approach to characterize adipocyte phenotypes, lacking clinical outcome data and human validation.
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This foundational work may eventually inform non-invasive, label-free methods to phenotype adipocyte populations in cardiovascular disease research, but clinical applicability remains distant and unproven. The approach requires validation in human tissue and larger animal cohorts before therapeutic or diagnostic application.
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Perivascular adipose tissue (PVAT) is recognized as the functional fourth layer of the vasculature. Unlike non-PVAT depots, PVAT is continuously exposed to haemodynamic forces, potentially altering the morphometry of its adipocytes. While transcriptomics studies have identified diverse adipocyte populations, characterizing these cells remains difficult because their inherent fragility limits standard antibody-based phenotyping. Autofluorescence has emerged as a label-free alternative for characterizing cellular heterogeneity. However, autofluorescence-based characterization of PVAT adipocytes remains unexplored, and it is unknown if these cells exhibit distinct profiles reflecting their specific anatomical location. This study aimed to define the autofluorescence profiles of PVAT and non-PVAT adipocytes. Using Sprague-Dawley rats (n = 6), we assessed intrinsic fluorescence in adipocytes from PVATs of thoracic and abdominal aorta, and from mesenteric arteries alongside phenotype-matched non-PVAT counterparts: interscapular brown, subcutaneous, and retroperitoneal tissues. Using optimized methods to maintain adipocyte integrity, we demonstrate that thoracic and intrascapular exhibit similar autofluorescence profiles. In contrast, PVAT sites mesenteric and abdominal diverge across the yellow, red, and violet channels compared with non-PVAT depots, retroperitoneal and subcutaneous. In conclusion, PVAT and non-PVAT adipocytes exhibit depot-specific spectral patterns, with higher autofluorescence observed in PVAT cells, validating autofluorescence as a marker-independent approach for identifying adipocyte differences.
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